josiahsiegel

@josiahsiegel source repo

195 skills
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1 week ago last updated

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Azure SQL Optimization · josiahsiegel
Azure SQL Database optimization and platform-specific features. PROACTIVELY activate for: (1) Azure SQL Database optimization, (2) DTU vs vCore selection and right-sizing, (3) automatic tuning (force last good plan, create/drop index), (4) Hyperscale tier and read replicas, (5) Serverless tier and auto-pause, (6) Azure SQL performance monitoring (Query Performance Insight, Intelligent Insights), (7) elastic pools, (8) Always Encrypted with secure enclaves, (9) Managed Instance vs Azure SQL DB tradeoffs, (10) failover groups and geo-replication. Provides: tier-selection matrix, automatic-tuning enablement steps, Hyperscale architecture overview, monitoring queries, and elastic pool sizing guidance.

1 install
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Deployment Stacks 2025 · josiahsiegel bundle
Azure Deployment Stacks for unified resource lifecycle management. PROACTIVELY activate for: (1) Azure Deployment Stacks (GA replacement for Azure Blueprints), (2) deny settings (DenyDelete, DenyWriteAndDelete) for resource protection, (3) ActionOnUnmanage behavior (delete, detach), (4) Bicep deployment stacks, (5) cross-subscription stack deployments, (6) updating an existing stack (resource adoption), (7) inspecting stack resources and history, (8) stack vs traditional deployment tradeoffs, (9) GitOps with deployment stacks. Provides: Bicep stack templates, az stack CLI reference, deny-settings matrix, and migration guidance from Blueprints.

1 install
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Advanced Array Patterns · josiahsiegel
Advanced bash array patterns including indexed and associative arrays, mapfile/readarray, slicing, and array manipulation (2025). PROACTIVELY activate for: (1) using bash arrays effectively, (2) reading file contents into an array via mapfile/readarray, (3) authoring associative arrays (declare -A), (4) iterating arrays safely under set -u, (5) deleting/inserting array elements, (6) joining and splitting arrays, (7) passing arrays to functions via nameref (declare -n), (8) array slicing and parameter expansion, (9) sorting and deduplicating arrays in pure bash. Provides: indexed and associative array reference, mapfile and readarray recipes, nameref-based pass-by-reference, slicing/expansion patterns, and gotchas for unset variables and word splitting.

1 install
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Clerk Nextjs Auth · josiahsiegel
Use for Clerk in Next.js. PROACTIVELY activate for @clerk/nextjs setup, App Router auth()/currentUser(), clerkMiddleware(), proxy.ts/middleware.ts, createRouteMatcher(), protected pages/layouts/Route Handlers/Server Actions/API routes/tRPC, auth.protect() role/permission/token checks, ClerkProvider placement, server-only clerkClient, Link prefetch, redirects, 401/404 auth failures, custom domains, __clerk proxy paths, and deployment gotchas. Provides file patterns, server/client boundary rules, matcher templates, and production checks.

1 install
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Docker Best Practices · josiahsiegel
Comprehensive Docker best practices for images, containers, and production deployments. PROACTIVELY activate for: (1) writing production-ready Dockerfiles, (2) multi-stage builds for lean images, (3) base image selection (distroless, alpine, scratch, slim), (4) layer caching and ordering, (5) .dockerignore hygiene, (6) HEALTHCHECK and graceful shutdown, (7) non-root user and least-privilege patterns, (8) ENV vs ARG and secret handling, (9) tag/digest pinning and reproducibility, (10) Compose for local development. Provides: Dockerfile templates by language, image-size optimization checklist, .dockerignore template, HEALTHCHECK patterns, and Compose dev-stack examples.

1 install
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Docker Git Bash Guide · josiahsiegel
Docker on Windows with Git Bash / MINGW path conversion. PROACTIVELY activate for: (1) Docker commands failing on Windows Git Bash with path errors, (2) volume mount path conversion (-v $(pwd):/app), (3) MSYS_NO_PATHCONV and MSYS2_ARG_CONV_EXCL workarounds, (4) double-slash escapes (//c/foo) for MINGW, (5) docker-compose volume mounts on Windows, (6) WSL2 vs Hyper-V backend path interop, (7) line-ending issues in mounted scripts (CRLF vs LF), (8) UNC path limitations. Provides: MSYS path-conversion explainer, copy-pasteable env-var workarounds, double-slash recipes, line-ending fixes, and compose-mount patterns for Windows.

1 install
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Docker Platform Guide · josiahsiegel bundle
Platform-specific Docker considerations for Windows, Linux, and macOS. PROACTIVELY activate for: (1) Docker Desktop on Windows (WSL2 vs Hyper-V backends), (2) Docker Desktop on macOS (Apple Silicon, Rosetta, virtiofs), (3) native Docker Engine on Linux, (4) rootless Docker setup, (5) cross-platform image building (--platform, buildx, multi-arch manifests), (6) ARM64 vs x86_64 image selection, (7) volume performance differences (bind mount vs named volume across platforms), (8) Docker Desktop resource tuning per OS. Provides: per-platform setup steps, multi-arch build recipes, rootless setup, performance-tuning checklist, and known platform-specific gotchas.

1 install
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Docker Security Guide · josiahsiegel bundle
Comprehensive Docker security guidelines and threat mitigation. PROACTIVELY activate for: (1) container security review, (2) running as non-root user, (3) read-only root filesystems and tmpfs mounts, (4) capability dropping (--cap-drop ALL), (5) seccomp and AppArmor profiles, (6) image vulnerability scanning (Docker Scout, Trivy, Grype), (7) supply-chain security (signed images, SBOM, provenance), (8) secrets management (Docker secrets, BuildKit --secret, external vaults), (9) network segmentation (user-defined networks, no --net=host), (10) CIS Docker Benchmark compliance. Provides: hardening checklist, scan-tool integration recipes, CIS benchmark mapping, secret handling patterns, and capability-drop reference.

1 install
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Ffmpeg Audio Processing · josiahsiegel bundle
Complete audio encoding and normalization system. PROACTIVELY activate for: (1) Audio codec selection (AAC, MP3, Opus, FLAC), (2) Loudness normalization (EBU R128, loudnorm), (3) Audio extraction from video, (4) Format conversion, (5) Volume adjustment and dynamics, (6) Noise reduction and EQ, (7) Channel operations (stereo/mono/surround), (8) Sample rate and bit depth conversion, (9) Audio fade in/out and crossfades, (10) Podcast and broadcast processing chains. Provides: Codec comparison tables, loudness standards reference, two-pass normalization scripts, professional mastering chains. Ensures: Broadcast-compliant audio with proper loudness and quality.

1 install
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Competition Workflows · josiahsiegel
Kaggle competition notebook workflows and submissions. PROACTIVELY activate for: (1) submitting notebook outputs to competitions, (2) `kaggle competitions submit -k`, (3) downloading competition data, (4) validating submission.csv format, (5) leakage review, (6) cross-validation split design, (7) public leaderboard overfitting concerns, (8) competition rule compliance, (9) reproducible top-to-bottom notebook execution, (10) fold-aware preprocessing for ML pipelines. Provides: submission commands, validation checklist, leakage controls, and competition-ready notebook guidance.

1 install
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Ml Azureml Adf Automation · josiahsiegel
This skill should be used when the user asks to automate Azure ML and Azure Data Factory production workflows. PROACTIVELY activate for: (1) Azure ML code asset registration, azure-ai-ml SDK, AML code versions, `result.version`, requested-vs-actual versions, (2) ADF to Azure ML orchestration, ADF WebActivity, managed identity blob reads, `connectVia`, managed VNet IR, (3) code asset version pointer blobs, latest.json contracts, training/scoring code version propagation, (4) private storage firewalls, Microsoft-hosted CI agents, temporary network rules, storage data-plane smoke tests, (5) marshmallow<4 pinning, AML SDK import failures, runtime validation for Azure ML infrastructure. Provides: operationally safe Azure ML + ADF automation patterns.

1 install
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Ml Inference Optimization · josiahsiegel
This skill should be used when the user asks to optimize, export, serve, compress, or accelerate ML inference. PROACTIVELY activate for: (1) latency, throughput, p95/p99, batching, concurrency, KV cache, memory, or cost issues, (2) quantization INT8/INT4, GPTQ, AWQ, bitsandbytes, pruning, sparsity, distillation, (3) ONNX export, ONNX Runtime, TensorRT, TorchScript, torch.compile, XLA, OpenVINO, Core ML, TFLite, (4) Triton, TorchServe, TF Serving, BentoML, Seldon, KServe configuration, (5) edge deployment, CPU/GPU/TPU/Inferentia serving. Provides: hardware-aware inference optimization and safe benchmarking.

1 install
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Nextjs Server Actions · josiahsiegel
Complete Next.js Server Actions system (Next.js 15.5/16). PROACTIVELY activate for: (1) Defining Server Actions with 'use server', (2) Form handling with actions, (3) useActionState for form state, (4) useFormStatus for pending states, (5) Optimistic updates with useOptimistic, (6) Validation with Zod and next-safe-action, (7) Authorization in actions, (8) File uploads, (9) Revalidation after mutations, (10) Type-safe actions with next-safe-action library. Provides: Action patterns, form integration, validation, optimistic UI, error handling, next-safe-action integration. Ensures secure server mutations with proper validation and UX.

1 install
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Powershell Master · josiahsiegel bundle
Complete PowerShell expertise system across ALL platforms (Windows/Linux/macOS). PROACTIVELY activate for: (1) ANY PowerShell task (scripts/modules/cmdlets), (2) CI/CD automation (GitHub Actions/Azure DevOps/Bitbucket), (3) Cross-platform scripting, (4) Module discovery and management (PSGallery), (5) Azure/AWS/Microsoft 365 automation, (6) Script debugging and optimization, (7) Best practices and security. Provides: PowerShell 7+ features, popular module expertise (Az, Microsoft.Graph, PnP, AWS Tools), PSGallery integration, platform-specific guidance, CI/CD pipeline patterns, cmdlet syntax mastery, and production-ready scripting patterns. Ensures professional-grade, cross-platform PowerShell automation following industry standards.

2 installs
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Python Video Pipeline · josiahsiegel bundle
Expert guide to end-to-end Python video pipelines combining FFmpeg, OpenCV, PyAV, ffmpegcv, Decord, VidGear, and Modal.com for scalable GPU-accelerated workflows. PROACTIVELY activate for: (1) FFmpeg+OpenCV in same pipeline (decode, process, re-encode); (2) color-format mismatches (BGR vs RGB across OpenCV, PIL, PyAV, FFmpeg); (3) frame dim ordering (HWC vs CHW) between OpenCV and ML frameworks; (4) audio stream loss in filter chains; (5) memory mgmt for long/large videos (streaming vs in-memory); (6) choosing ffmpegcv/Decord/VidGear/PyAV for performance; (7) GPU decode/encode on Modal.com; (8) parallel + chunk-based processing on Modal; (9) transcoding pipelines on serverless; (10) HLS generation on Modal; (11) upload -> process -> transcode -> HLS workflows; (12) batch sizing for GPU memory, pixel formats, large-video streaming. Provides: library selection matrix, integration recipes, Modal.com deployment examples, GPU pipeline tuning, production-ready workflow examples.

1 install
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Execution Plan Analysis · josiahsiegel bundle
This skill should be used when the user asks to analyze SQL Server execution plans, .sqlplan files, ShowPlan XML, actual vs estimated plans, plan warnings, or operator costs. PROACTIVELY activate for: .sqlplan triage, ShowPlan XML inspection, high-cost operator ranking, scan vs seek review, residual predicate analysis, CONVERT_IMPLICIT warnings, bad row estimates, cardinality-estimation warnings, partition elimination verification, missing-index suggestions, unused-index warnings, spills, key lookups, sorts, hash joins, and plan-regression evidence gathering. Provides: plan triage workflow, operator-cost ranking heuristics, warning interpretation rubric, and rewrite/index recommendation gating.

1 install
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Unity Csharp Scripting · josiahsiegel bundle
C# scripting in Unity for gameplay, behavior, and engine integration. PROACTIVELY activate for: (1) writing Unity C# scripts, (2) MonoBehaviour lifecycle (Awake/OnEnable/Start/Update/FixedUpdate/LateUpdate), (3) coroutines and async/await in Unity, (4) delegates, events, Action/Func patterns, (5) ScriptableObject creation and serialization, (6) GetComponent / TryGetComponent and component caching, (7) physics scripting (Rigidbody, raycast, collision/trigger callbacks), (8) animation scripting (Animator parameters, state machines, IK), (9) NavMesh and NavMeshAgent scripting, (10) input handling (Input System package), (11) custom serialization and SerializeField. Provides: lifecycle reference, coroutine vs async patterns, ScriptableObject templates, Rigidbody/collision recipes, NavMesh examples, and Input System setup.

0 installs
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Container Apps Gpu 2025 · josiahsiegel
Azure Container Apps with GPU support, serverless capabilities, and Foundry Models. PROACTIVELY activate for: (1) Container Apps GPU (serverless GPU workloads), (2) Container Apps with Dapr integration, (3) scale-to-zero AI workloads, (4) Container Apps Jobs (one-shot, scheduled, event-driven), (5) Container Apps Foundry Models integration, (6) revisions and traffic splitting, (7) custom domains and managed certificates, (8) ingress and authentication, (9) Container Apps Environment configuration, (10) Workload Profiles (Consumption vs Dedicated). Provides: GPU SKU reference, scale rule examples (HTTP, KEDA), Dapr building-block recipes, traffic-split patterns, and end-to-end serverless GPU deployment.

1 install
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Clerk Backend Apis · josiahsiegel
Use for Clerk backend request auth. PROACTIVELY activate for Express, Fastify, Node, Go, Ruby/Rails, Python/FastAPI/Django/Flask, Java/Spring, C#/.NET, PHP/Laravel, custom APIs, @clerk/express clerkMiddleware()/requireAuth()/getAuth(req), backend request state, cookies, Authorization Bearer tokens, cross-origin frontend-to-API calls, M2M/OAuth/API-key/session token validation, clerkClient Backend API users/orgs calls, proxies/CDNs/CORS/X-Forwarded headers, and 401/404 debugging. Provides middleware patterns, token verification flow, API client guardrails, and language-portable diagnostics.

1 install
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Ffmpeg Fundamentals 2025 · josiahsiegel bundle
Complete FFmpeg core knowledge system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Basic transcoding and format conversion, (2) Command syntax questions, (3) Codec selection (H.264, H.265, VVC, AV1, VP9, APV), (4) Quality settings (CRF, bitrate, presets), (5) Video/audio filter chains, (6) Trimming, splitting, concatenating, (7) Resolution scaling and aspect ratios, (8) FFmpeg 8.0 features (Whisper AI, Vulkan codecs, APV, WHIP), (9) Version checking and update guidance. Provides: Command syntax reference, codec comparison tables, filter examples, format conversion recipes, probing commands, Whisper transcription examples, version checking commands. Ensures: Correct FFmpeg usage with 2025 best practices and latest stable version.

1 install
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Ffmpeg Stabilization 360 · josiahsiegel
Complete FFmpeg video stabilization and 360/VR video processing. PROACTIVELY activate for: (1) Video stabilization (deshake, vidstab), (2) Hardware-accelerated stabilization (deshake_opencl), (3) 360/VR video transforms (v360), (4) Perspective correction (perspective), (5) Ken Burns/zoom-pan effects (zoompan), (6) Lens distortion correction (lenscorrection, lensfun), (7) Action camera footage, (8) Drone video processing, (9) VR headset formats. Provides: Stabilization workflows, 360 projection conversions, motion effects, lens correction.

1 install
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Ml Mlops · josiahsiegel
This skill should be used when the user asks to productionize, track, version, govern, monitor, or automate ML systems. PROACTIVELY activate for: (1) MLflow, Weights & Biases, Neptune, Comet, ClearML experiment tracking, (2) model registry, model versioning, artifact lineage, reproducibility, (3) Kubeflow, SageMaker Pipelines, Vertex AI Pipelines, Azure ML pipelines, Databricks workflows, (4) CI/CD, continuous training/evaluation, A/B tests, canary/shadow deployments, (5) drift detection, model monitoring, data validation, responsible AI governance. Provides: end-to-end MLOps architecture and operational safeguards.

1 install
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C4 Model · josiahsiegel bundle
This skill should be used to create or update a C4 architecture diagram alongside an ADR, especially in LikeC4. PROACTIVELY activate on "add a C4 diagram", "create a context diagram", "container view", "LikeC4 model", "draw the architecture", "diagram this decision", "architecture diagram for the ADR", "visualize the components", "C4 view", or "Simon Brown C4." Provides: canonical-C4 Context and Container views from confirmed elements, relationship descriptions, and strict refusal of non-canonical diagram types.

1 install
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Adf Master · josiahsiegel bundle
Azure Data Factory (ADF) CI/CD, deployment, and pipeline development. PROACTIVELY activate for: (1) ADF CI/CD setup (npm validation, ARM template export), (2) ADF ARM template deployment, (3) ADF npm build validation in CI, (4) PrePostDeploymentScript for trigger and resource cleanup, (5) ADF GitHub Actions workflows, (6) ADF Azure DevOps pipelines, (7) ADF Git integration (collaboration vs publish branch), (8) parameterizing linked services and datasets across environments, (9) ADF triggers (schedule, tumbling window, event), (10) deployment slots and blue-green for ADF. Provides: complete CI/CD YAML for GitHub Actions and Azure DevOps, PrePostDeploymentScript reference, parameterization patterns, and trigger management recipes.

1 install
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Git Master · josiahsiegel bundle
Complete Git expertise system for ALL git operations. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Repository management, (3) Branch strategies and workflows, (4) Conflict resolution, (5) History rewriting/recovery, (6) Platform-specific operations (GitHub/Azure DevOps/Bitbucket), (7) Advanced commands (rebase/cherry-pick/filter-repo). Provides: complete Git command reference, safety guardrails for destructive operations, platform best practices, workflow strategies, reflog recovery techniques, and expert guidance for even the most risky operations. Always asks user preference for automatic commits vs manual control.

1 install
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Ml Training · josiahsiegel
This skill should be used when the user asks to train, debug, scale, or improve ML models. PROACTIVELY activate for: (1) PyTorch, TensorFlow/Keras, JAX, Flax, Hugging Face Trainer/Accelerate training loops, (2) distributed training, DDP/FSDP/DeepSpeed, TPU/GPU setup, (3) mixed precision AMP/bf16, gradient accumulation, checkpointing, seeding, (4) overfitting, imbalance, loss functions, regularization, LR schedules, warmup, (5) memory optimization, gradient checkpointing, offloading, quantization-aware training. Provides: reproducible training best practices across deep learning and classical ML.

1 install
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Repo Health · josiahsiegel bundle
This skill should be used when bootstrapping, auditing, or reviewing the community-health and repository-cornerstone files in a code repository: README, LICENSE, CONTRIBUTING, CODE_OF_CONDUCT, SECURITY, SUPPORT, issue / PR templates, CODEOWNERS, FUNDING, CITATION, and REUSE / SPDX metadata. PROACTIVELY activate on "set up new repo docs", "community health files", "what should my README contain", "do I need a code of conduct", "audit repo bootstrap docs", "repository documentation cornerstones", "pick a license", "CONTRIBUTING.md", "SECURITY.md", "vulnerability reporting", "SUPPORT.md", "CODEOWNERS", "issue templates", "PR templates", "CITATION.cff", "REUSE", "SPDX headers", "Standard Readme", "Contributor Covenant". Provides: four-question diagnostic per cornerstone, Standard Readme structure, license routing (no picking), CONTRIBUTING / CODE_OF_CONDUCT / SECURITY / SUPPORT canons, template files, and REUSE 3.3 / SPDX routing.

1 install
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Bash Master · josiahsiegel bundle
Expert bash/shell scripting across environments where Bash is available (Linux, macOS, Git Bash on Windows, WSL, containers). This is a Bash-focused skill - it does not provide PowerShell parity; on Windows the target is the Bash interpreter (Git Bash / WSL), not native PowerShell. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) System automation, (3) DevOps/CI/CD scripts, (4) Build/deployment automation, (5) Script review/debugging, (6) Converting commands to scripts. Provides: Google Shell Style Guide compliance, ShellCheck validation, Bash portability across Linux/macOS/WSL/Git Bash/containers, POSIX compliance, security hardening, error handling, performance optimization, testing with BATS, and production-ready patterns. Ensures professional-grade, secure, portable Bash scripts every time.

1 install
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Adr Backfill · josiahsiegel bundle
This skill should be used to retroactively record an architectural decision that was made in the past but never written up as an ADR — typically surfaced by a doc audit or by a user realising a long-ago shipped change should have been documented. PROACTIVELY activate on "backfill ADR", "retroactive ADR", "post-hoc ADR", "reconstruct an ADR from history", "write up a past decision", "we never documented this decision", "decision was made but no ADR exists", "we decided years ago", "back when", "before my time", or "the audit surfaced a backfill candidate." Tense rule: `adr-drafting` claims "we decided / we're deciding"; `adr-backfill` claims "we decided years ago / back when / before my time / never wrote it down." Refuses when reconstruction confidence is `low` -- routes to `open-questions.md`. Requires evidence in two independent locations and a verbatim honesty clause in the record. Provides: backfill ADR template, confidence rubric, evidence corroboration, honesty-clause boilerplate.

1 install
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Adr Critique · josiahsiegel bundle
This skill should be used to audit an existing or legacy ADR, especially one imported, LLM-generated, stale, or never self-critiqued. PROACTIVELY activate on "review this ADR", "critique this ADR", "audit our decision log", "is this ADR any good?", "fix this old ADR", "rewrite this legacy ADR", "ADR cleanup", "ADR quality sweep", "tighten this ADR", "score these ADRs", or "this ADR is too long." Provides: line-by-line ADR critique, filler/hedging/drift detection, and per-line approval workflow.

1 install
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Adr Drafting · josiahsiegel bundle
This skill should be used when a decision is ready to become an ADR and the user wants co-thinking rather than template filler. PROACTIVELY activate on "draft the ADR", "write up the decision", "co-think this ADR", "challenge my reasoning", "ADR for X", "MADR for X", "Y-statement for X", "we decided to use X", "co-draft", "ADR drafting", or "scripted push-back." Provides: seven-phase ADR drafting, one-question turns, failure-mode pressure test, and self-critique against the ADR-is-NOT checklist.

1 install
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Ml Evaluation · josiahsiegel
This skill should be used when the user asks to evaluate, validate, compare, explain, or debug model performance. PROACTIVELY activate for: (1) metrics selection for classification, regression, ranking, NLP, CV, recommender, forecasting, and generative AI, (2) train/validation/test splits, cross-validation, grouped or time-series validation, (3) confusion matrices, ROC/PR curves, calibration, thresholds, error analysis, (4) ablation studies, statistical significance, confidence intervals, bootstrap tests, (5) bias, fairness, explainability, robustness, leakage detection. Provides: rigorous evaluation methodology and production-readiness checks.

1 install
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Adr Discovery · josiahsiegel bundle
This skill should be used before drafting an ADR when context, components, relationships, deciders, or prior decisions are unclear. PROACTIVELY activate on "I want to write an ADR for X", "gather context for a decision", "discovery for an ADR", "ADR intake", "ADR pre-flight", "prep work before an ADR", "what's the current architecture?", or "set up a decision log." Provides: zero-hallucination Q&A, human-confirmed discovery brief, open-questions register, and five required confirmations before drafting.

1 install
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Ml Fine Tuning · josiahsiegel
This skill should be used when the user asks to adapt pretrained, foundation, language, vision, multimodal, or embedding models. PROACTIVELY activate for: (1) transfer learning, full fine-tuning, frozen backbones, adapters, LoRA, QLoRA, AdaLoRA, PEFT, (2) Hugging Face Transformers, Diffusers, Accelerate, TRL, RLHF, DPO, preference tuning, alignment, (3) dataset preparation, instruction tuning, chat templates, tokenization, packing, catastrophic forgetting, (4) RAG, vector databases, embedding optimization, reranking, (5) multimodal and edge fine-tuning. Provides: safe, efficient fine-tuning and adaptation guidance.

1 install
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Doc Diagnostic · josiahsiegel bundle
This skill should be used when deciding whether a doc should exist, where it belongs, whether something is really an ADR, or whether an architectural decision is missing from the record. PROACTIVELY activate on "should this be an ADR?", "where should I document X?", "is this architecturally significant?", "ADR vs RFC vs design doc vs runbook", "Diátaxis", "audit docs folder", "clean up the decision log", "doc drift", "doc governance", "ADR template selection", "Nygard vs MADR vs Y-statement", "missing ADR", "missing decision record", "undocumented architecture", "implicit decision", "historical documentation clutter", "inherited repo", "large legacy repo", "architecture archaeology", "code archaeology", "scan for decision records", "find decisions not captured in ADRs." Provides: doc placement diagnostic, alternatives catalog, ADR canon, folder audit procedure, and BACKFILL-ADR candidate detection.

1 install
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Markdown Style · josiahsiegel bundle
This skill should be used to review, lint, or fix Markdown formatting in READMEs, ADRs, runbooks, how-tos, design docs, or any `.md` file. PROACTIVELY activate on "review this markdown", "lint this doc", "lint this README", "style-check this doc", "fix the formatting", "review my README", "is this markdown valid?", "fix the headings", "fix the list indentation", "ATX vs setext", "should I use a TOC?", "markdown style guide", or "Markdown linter." Provides: two-pass syntax/style review with line-referenced findings.

1 install
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Input Handling · josiahsiegel bundle
This skill should be used when the user asks about TUI input handling, raw mode, cbreak mode, terminal keyboard parsing, Esc vs Alt ambiguity, Ctrl-C, shortcuts, focus management, mouse events, scroll wheel, bracketed paste, paste safety, command palettes, forms, text editing, resize events, or keybinding design. PROACTIVELY activate for: raw mode, keyboard input, keybindings, mouse support, paste handling, focus model, terminal forms, text input, vim/emacs-style shortcuts, input conflicts, and cross-platform Windows/macOS/Linux input behavior. Provides: input architecture, shortcut rules, focus patterns, paste/mouse safety, and failure-mode triage.

0 installs
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Databricks 2025 · josiahsiegel bundle
ADF + Databricks 2025 integration patterns. PROACTIVELY activate for: (1) Databricks Job activity in ADF, (2) DatabricksJob (preview) vs DatabricksNotebook activity, (3) ServiceNow V2 connector, (4) ADF managed identity authentication for Databricks, (5) Databricks serverless linked services, (6) Snowflake V2 connector, (7) Databricks job parameters and outputs, (8) MFA enforcement and authentication updates, (9) Unity Catalog integration, (10) Delta Live Tables orchestration from ADF. Provides: Databricks linked service templates (PAT, MSI, serverless), DatabricksJob activity examples, parameter passing recipes, and authentication migration guidance.

1 install
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Ml Data Pipeline · josiahsiegel
This skill should be used when the user asks to ingest, clean, validate, transform, version, monitor, or serve ML data and features. PROACTIVELY activate for: (1) data ingestion, preprocessing, feature engineering, leakage prevention, train/serving skew, (2) Spark, Dask, Polars, pandas, Ray Data, streaming pipelines, (3) Great Expectations, TFDV, Deequ, data quality and validation, (4) DVC, lakehouse tables, dataset versioning, lineage, reproducibility, (5) Feast, Tecton, Hopsworks feature stores, point-in-time joins, online/offline features. Provides: scalable, reproducible, leakage-safe ML data pipeline design.

0 installs
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Dax Mastery · josiahsiegel bundle
DAX (Data Analysis Expressions) mastery for Power BI semantic models. PROACTIVELY activate for: (1) writing DAX measures or calculated columns, (2) CALCULATE, FILTER, ALL, REMOVEFILTERS context-modification functions, (3) understanding filter context vs row context vs context transition, (4) time intelligence (SAMEPERIODLASTYEAR, DATEADD, YTD/MTD, TOTALYTD, DATESBETWEEN), (5) iterators (SUMX, AVERAGEX, FILTER), (6) variables (VAR/RETURN) and DAX optimization, (7) calculation groups, field parameters, and visual calculations, (8) WINDOW/INDEX/OFFSET/ORDERBY/PARTITIONBY/MATCHBY (window functions), (9) DAX user-defined functions (UDF), (10) DAX patterns for ratios, running totals, ranking. Provides: measure templates, time-intelligence patterns, optimization techniques (variables, FILTER vs CALCULATETABLE), context-transition explainers, and reference for window functions and calculation groups.

1 install
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Python Modal · josiahsiegel bundle
Modern Python patterns for Modal.com serverless platform. PROACTIVELY activate for: (1) Modal function deployment, (2) Type-safe Modal with Pydantic, (3) Async patterns in Modal, (4) GPU workloads (ML inference, training), (5) FastAPI web endpoints on Modal, (6) Scheduled tasks and cron jobs, (7) Modal Volumes and storage, (8) Testing Modal functions with pytest, (9) Modal classes and lifecycle methods, (10) Parallel processing with map/starmap. Provides: Type hints patterns, Pydantic integration, async/await patterns, pytest testing, FastAPI integration, scheduled tasks, Volume usage, cost optimization, and production-ready examples following Python 3.11+ best practices.

1 install
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Tsql Functions · josiahsiegel bundle
Complete T-SQL function reference for SQL Server and Azure SQL Database. PROACTIVELY activate for: (1) string functions (CONCAT_WS, STRING_SPLIT, STRING_AGG, TRIM, REPLACE, LEFT/RIGHT/SUBSTRING), (2) date/time functions (DATEADD, DATEDIFF, FORMAT, DATETRUNC, AT TIME ZONE), (3) math and conversion functions (CAST, CONVERT, TRY_CAST, ROUND, FLOOR, CEILING), (4) window/ranking functions (ROW_NUMBER, RANK, LEAD/LAG, FIRST_VALUE, LAST_VALUE, NTILE), (5) JSON functions (JSON_VALUE, JSON_QUERY, JSON_MODIFY, OPENJSON), (6) XML functions (FOR XML, .nodes, .value), (7) aggregate functions and GROUP BY extensions, (8) system and metadata functions (sys.* views, OBJECT_ID, OBJECT_NAME). Provides: function catalog grouped by category, version-availability matrix (SQL 2016+/2019+/2022+), and worked examples for each function family.

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Unity Modding · josiahsiegel
Unity game modding architecture and mod-loading systems. PROACTIVELY activate for: (1) adding modding support to a Unity game, (2) Asset Bundles for mods, (3) Addressables for mod content, (4) Lua scripting via MoonSharp, (5) Harmony patching for runtime IL injection, (6) Steam Workshop integration, (7) mod manager UI, (8) plugin architecture for user-generated content (UGC), (9) custom content loading at runtime, (10) sandboxing and security for untrusted mods. Provides: AssetBundle vs Addressables tradeoffs, MoonSharp setup, Harmony patch patterns, Steam Workshop SDK integration, mod manager templates, and security guidelines.

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Adf Ml Analytics · josiahsiegel bundle
ADF + Azure ML and analytics integrations. PROACTIVELY activate for: (1) Azure ML batch endpoints invoked from ADF, (2) Azure OpenAI Batch API pipeline patterns, (3) ADF ML scoring orchestration, (4) SQL to Storage archival pipelines, (5) AI Services integration via REST connector, (6) Databricks notebook execution from ADF, (7) Data Flow feature engineering, (8) Synapse / Fabric integration from ADF, (9) Cognitive Search indexer triggers, (10) Power BI dataset refresh via REST. Provides: REST connector recipes, Databricks linked service setup, Data Flow templates, and end-to-end ML scoring pipelines.

1 install
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Powerbi Core · josiahsiegel bundle
Core Power BI data modeling, source connectivity, and platform fundamentals. PROACTIVELY activate for: (1) Power BI data modeling and star-schema design, (2) relationships (active/inactive, bidirectional, USERELATIONSHIP), (3) data-source selection (DirectQuery vs Import vs Direct Lake vs composite), (4) incremental refresh setup, (5) gateway configuration (on-prem and VNet gateways), (6) streaming datasets and push-data scenarios, (7) Dataflow Gen2 basics, (8) Power BI common gotchas and pitfalls (bidirectional filtering, AutoExist, blank-row), (9) workspace identity and OAuth2 / service-principal auth, (10) semantic model architecture review. Provides: star-schema templates, mode-selection matrix, incremental refresh recipe, gateway setup steps, and a common-gotchas reference.

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Tmdl Mastery · josiahsiegel bundle
TMDL (Tabular Model Definition Language) mastery for Power BI semantic models. PROACTIVELY activate for: (1) writing or editing TMDL files, (2) TMDL syntax (model.tmdl, database.tmdl, relationships.tmdl, table folders), (3) TMDL serialization (TmdlSerializer, folder-based vs single-file), (4) TMDL view in Power BI Desktop, (5) TMDL vs TMSL vs BIM format selection, (6) TMDL expressions, calculation groups, perspectives, cultures, translations, annotations, (7) TMDL roles and security, (8) TMDL ref keyword and createOrReplace scripts, (9) TMDL CI/CD integration (Git, deployment), (10) TMDL hierarchies and partitions. Provides: TMDL syntax reference, folder-layout templates, serialization patterns, ref/createOrReplace recipes, and Git integration setup.

1 install
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Python Ffmpeg · josiahsiegel bundle
Expert guide to FFmpeg from Python for video/audio processing, encoding, streaming, and media manipulation. PROACTIVELY activate for: (1) Python+FFmpeg via ffmpeg-python, PyAV, subprocess, moviepy; (2) encoding (H.264, H.265/HEVC, VP9/WebM, AV1); (3) hardware acceleration (NVIDIA NVENC, Intel QSV, AMD AMF, VAAPI); (4) audio extraction, conversion, filter chains; (5) video filters (scale, crop, rotate, text/image overlays, color); (6) trim/concat workflows; (7) HLS, DASH, RTMP streaming; (8) metadata probing (ffprobe, ffmpeg.probe); (9) thumbnails (single + sprite sheets); (10) frame-accurate PyAV; (11) bug debugging (audio loss after filters, subprocess deadlocks, Windows paths, -y prompts); (12) GIF, speed change, picture-in-picture, blur/quality detection. Provides: library selection, install steps, copy-pasteable encoding recipes, hardware-accel flag reference, error handling, subprocess best practices, performance tuning for production Python+FFmpeg pipelines.

1 install
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Python Opencv · josiahsiegel bundle
Complete OpenCV computer vision system for Python. PROACTIVELY activate for: (1) Image loading with cv2.imread (BGR format gotcha), (2) Video capture with cv2.VideoCapture, (3) Color space conversion (BGR to RGB, HSV, grayscale), (4) Image filtering (GaussianBlur, medianBlur, bilateralFilter), (5) Edge detection (Canny), (6) Contour detection with cv2.findContours, (7) Image resizing with interpolation methods, (8) Template matching, (9) Feature detection (SIFT, ORB, AKAZE), (10) Drawing functions (rectangle, circle, text), (11) Video writing with cv2.VideoWriter, (12) Morphological operations, (13) Deep learning with cv2.dnn module, (14) GPU acceleration with cv2.cuda, (15) Coordinate system (x,y vs row,col) gotchas. Provides: Image processing patterns, video capture/writing, memory management, performance optimization, Jupyter notebook workarounds. Ensures correct BGR handling and memory-safe OpenCV usage.

1 install
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React Patterns · josiahsiegel bundle
Complete React component patterns system. PROACTIVELY activate for: (1) Compound components with context, (2) Render props pattern, (3) Higher-Order Components (HOC), (4) Custom hooks as patterns, (5) Provider pattern with reducer, (6) Controlled vs uncontrolled components, (7) Prop getter pattern, (8) State reducer pattern. Provides: Pattern implementations, composition strategies, reusable component APIs, flexible state control. Ensures clean, maintainable component architecture.

1 install
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SQL Server 2025 · josiahsiegel bundle
SQL Server 2025 and SqlPackage 170.2.70 (October 2025) — vector databases, AI integration, and modern features. PROACTIVELY activate for: (1) SQL Server 2025 features, (2) vector type and vector indexes for AI, (3) Vector functions (VECTOR_DISTANCE, etc.), (4) AI integration (Azure OpenAI, embeddings, RAG), (5) JSON type and JSON_ARRAYAGG, (6) parameter sensitivity plan optimization, (7) SqlPackage 170.2.70 new features and switches, (8) Always Encrypted with secure enclaves on 2025, (9) ledger tables, (10) Azure Arc-enabled SQL Server. Provides: SQL 2025 changelog, vector type usage, AI integration patterns, SqlPackage 170.2.70 reference, and migration guidance.

1 install
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Tui Fundamentals · josiahsiegel bundle
This skill should be used when the user asks to design, create, choose, modernize, or review a terminal UI, text user interface, curses app, dashboard, wizard, REPL shell, prompt flow, or CLI with interactive screens. PROACTIVELY activate for: TUI architecture, terminal-ui design, framework selection, curses vs modern framework, full-screen vs inline UI, app state modeling, widget composition, command palette, keyboard-first workflow, terminal dashboard, interactive CLI UX, and cross-platform terminal product planning. Provides: architecture patterns, framework decision rules, UX guardrails, scope boundaries, and production readiness checklists.

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Bash 53 Features · josiahsiegel
Bash 5.3 new features and modern patterns (2025). PROACTIVELY activate for: (1) Bash 5.3 specific features (BASH_TRAPSIG, in-shell command substitution, ${|} REPLY syntax), (2) checking bash version compatibility, (3) migrating scripts to take advantage of 5.3 additions, (4) C23 conformance changes in bash 5.3, (5) new shopt and bind options, (6) trap handling improvements, (7) wait -p enhancements, (8) READLINE_ARGUMENT and history expansion changes. Provides: complete 5.3 feature reference, version-detection snippets, compatibility shims for older bash, migration recipes, and POSIX.1-2024 alignment notes.

1 install
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Git 2 49 Features · josiahsiegel
Git 2.49 specific features and performance improvements. PROACTIVELY activate for: (1) git-backfill command (new in 2.49) for partial clones, (2) path-walk API improvements, (3) zlib-ng integration for faster compression, (4) reftables backend stabilization, (5) revision-walk performance, (6) bundle URI improvements, (7) sparse-checkout enhancements in 2.49, (8) git maintenance defaults in 2.49, (9) credential helper updates. Provides: 2.49 changelog summary, git-backfill recipes, performance comparison vs 2.48, and migration notes for users upgrading from 2.40+.

1 install
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Git 2025 Features · josiahsiegel
Git 2.49+ features and modern Git workflows (2025-2026). PROACTIVELY activate for: (1) Git 2.49+ features (reftables, sparse-checkout, partial clone, worktrees), (2) git-backfill for partial clones, (3) reftables migration (file backend to reftable backend), (4) sparse-checkout for monorepos, (5) git worktrees for parallel development, (6) partial clone (--filter=blob:none), (7) commit graph and bitmap optimizations, (8) trunk-based development workflows, (9) Git LFS, (10) modern alternatives to legacy commands. Provides: feature reference, version-detection snippets, sparse-checkout configuration, worktree workflow patterns, and migration guidance from older Git versions.

1 install
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Git Security 2025 · josiahsiegel bundle
Git security best practices for 2025-2026 (signed commits, zero-trust, secret scanning). PROACTIVELY activate for: (1) configuring signed commits (GPG, SSH, S/MIME), (2) verifying commit signatures, (3) zero-trust Git workflows, (4) secret scanning (GitHub Advanced Security, gitleaks, trufflehog), (5) preventing secret leaks via pre-commit hooks, (6) protected branches and required reviewers, (7) CODEOWNERS for sensitive paths, (8) Sigstore-style attestations, (9) detecting and remediating leaked credentials, (10) supply-chain security (provenance, SBOM, SLSA). Provides: signed commit setup, secret-scanning integration, pre-commit hook templates, branch protection patterns, and incident-response checklist for credential exposure.

1 install
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Nextjs Caching · josiahsiegel
Complete Next.js caching system with 'use cache' directive (Next.js 16). PROACTIVELY activate for: (1) Understanding 4 caching layers (Request Memoization, Data Cache, Full Route Cache, Router Cache), (2) Cache Components with 'use cache' directive, (3) fetch() caching options, (4) cacheLife() and cacheTag() functions, (5) Time-based revalidation, (6) On-demand revalidation with revalidatePath/revalidateTag, (7) Static generation with generateStaticParams, (8) Cache debugging. Provides: 'use cache' patterns, Cache Components, caching strategies, revalidation patterns, ISR setup, cache headers. Ensures optimal performance with correct cache invalidation.

1 install
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Power Query M · josiahsiegel bundle
Power Query M language for ETL, transformations, and connector authoring. PROACTIVELY activate for: (1) writing Power Query M code, (2) query folding and Native Query verification, (3) data transformations (merge, append, pivot, unpivot, split column), (4) custom connector development, (5) Power Query parameters and dynamic source patterns, (6) performance optimization (folding, query reduction, partition strategy), (7) Table.TransformColumns, List.Generate, Record.Field functions, (8) error handling in M (try/otherwise, error records), (9) mashup engine internals, (10) ETL pipelines from folder/SharePoint/database sources. Provides: M language reference, query-folding diagnosis, transformation recipes, dynamic source patterns, error-handling templates, and performance tuning techniques.

1 install
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Index Strategies · josiahsiegel bundle
This skill should be used when the user asks to design, review, add, drop, consolidate, or tune SQL Server indexes. PROACTIVELY activate for clustered vs nonclustered design, covering indexes and INCLUDE columns, filtered indexes, columnstore indexes, missing-index DMV interpretation, duplicate or unused indexes, index maintenance, fragmentation, fill factor, compression, partition-aligned indexes, partition elimination proof, huge-table index constraints, online/resumable rebuilds, and index changes for slow T-SQL queries. Provides: index-design decision tree, workload-aware tradeoff checklist, DMV interpretation guidance, and maintenance/rebuild patterns.

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Framework Recipes · josiahsiegel bundle
This skill should be used when the user asks for implementation recipes, examples, migration guidance, troubleshooting, or best practices for specific TUI frameworks and libraries: Rust Ratatui/Crossterm/Termion/Cursive, Python Textual/Rich/prompt_toolkit/curses/Urwid/asciimatics, Go Bubble Tea/Lip Gloss/Bubbles/tview/tcell/termui/gocui, Node Ink/Blessed/Inquirer/Prompts, .NET Terminal.Gui/Spectre.Console, C/C++ ncurses/notcurses/FTXUI, Zig vaxis, and SwiftTUI. PROACTIVELY activate for: framework-specific app structure, cleanup, testing, widgets, migration, library comparison, framework troubleshooting, API gotchas, and porting between TUI frameworks. Provides: framework defaults, gotchas, testing hooks, and selection recipes.

1 install
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Tui Visual Design · josiahsiegel bundle
This skill should be used when the user asks to make a terminal UI beautiful, polished, readable, premium, modern, branded, or visually distinctive; improve visual hierarchy, spacing, typography, borders, color palettes, charts, progress displays, icons, prompts, forms, dashboards, or framework styling. PROACTIVELY activate for: TUI visual design, aesthetic polish, layout composition, terminal typography, color systems, box drawing, chart styling, animation, glyph/icon usage, prompt styling, design critique, visual anti-patterns, and framework-specific styling guidance. Provides: terminal design principles, polish checklists, visual recipes, and accessibility-aware aesthetics.

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Context Master · josiahsiegel bundle
Universal context management and planning system. PROACTIVELY activate for: (1) ANY complex task requiring planning, (2) Multi-file projects/websites/apps, (3) Architecture decisions, (4) Research tasks, (5) Refactoring, (6) Long coding sessions, (7) Tasks with 3+ sequential steps. Provides: optimal file creation order, context-efficient workflows, extended-thinking delegation (~23x context efficiency), passive deep-analysis architecture, progressive task decomposition. Environment-agnostic — works for Web, API, and Claude Code CLI.

1 install
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Kernel Metadata · josiahsiegel
Kaggle `kernel-metadata.json` setup and repair. PROACTIVELY activate for: (1) creating kernel-metadata.json, (2) fixing metadata validation errors, (3) setting `id`, `title`, `code_file`, language, or kernel type, (4) configuring private/public, internet, GPU, or accelerator behavior, (5) attaching dataset_sources, competition_sources, kernel_sources, or model_sources, (6) preparing metadata before `kaggle kernels push`, (7) converting script/notebook metadata. Provides: schema checklist, valid fields, source arrays, defaults, and push-readiness review.

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Ml Cloud Deployment · josiahsiegel
This skill should be used when the user asks to deploy, scale, or cost-optimize ML workloads on cloud platforms. PROACTIVELY activate for: (1) AWS SageMaker Studio, Training, Processing, Pipelines, Endpoints, Model Monitor, Feature Store, Clarify, Ground Truth, EC2 GPUs, EKS, Lambda, Inferentia, Trainium, (2) GCP Vertex AI Training, Pipelines, Endpoints, Feature Store, Model Monitoring, AutoML, Matching Engine, TPU, GKE, Cloud Run, (3) Azure ML workspaces, pipelines, managed endpoints, AutoML, Responsible ML, AKS/ACI, (4) Databricks, Modal, Replicate, RunPod, Lambda Labs, Anyscale. Provides: cloud ML architecture, autoscaling, hardware, security, and cost guidance.

1 install
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Vitest 3 Features · josiahsiegel
Vitest 3 features and migration from Vitest 2 (2025). PROACTIVELY activate for: (1) Vitest 3 stable features, (2) workspace mode for monorepos, (3) test annotations and reporter API, (4) projects configuration, (5) browser mode in Vitest 3, (6) inline snapshots and toMatchInlineSnapshot, (7) typecheck mode (vitest typecheck), (8) watch mode UI improvements, (9) custom reporters, (10) migration from Jest and from Vitest 2.x. Provides: Vitest 3 changelog, workspace setup, projects config templates, browser-mode setup, and migration patterns from Jest and Vitest 2.

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Advanced Patterns · josiahsiegel
Advanced T-SQL patterns and techniques for SQL Server and Azure SQL. PROACTIVELY activate for: (1) writing CTEs and recursive queries, (2) APPLY operator (CROSS APPLY, OUTER APPLY), (3) MERGE statement and OUTPUT clause, (4) temporal tables (system-versioned), (5) In-Memory OLTP / memory-optimized tables, (6) advanced grouping (ROLLUP, CUBE, GROUPING SETS), (7) PIVOT and UNPIVOT, (8) ROW_NUMBER/RANK/DENSE_RANK with PARTITION BY, (9) hierarchies via recursive CTE or HierarchyId, (10) JSON_ARRAYAGG and STRING_AGG patterns. Provides: pattern catalog with examples for each technique, performance tradeoffs, and copy-pasteable templates for common advanced query shapes.

1 install
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Terminal Standards · josiahsiegel bundle
This skill should be used when the user asks about ANSI, VT100, VT220, ECMA-48, ISO 6429, xterm control sequences, terminal capability detection, terminfo, environment variables, alternate screen protocols, SGR colors, OSC, CSI, DCS, terminal graphics, Windows virtual terminal processing, ConPTY, tmux/screen, SSH, or escape-sequence compatibility. PROACTIVELY activate for: escape sequences, terminal standards, capability negotiation, raw ANSI output, xterm protocols, alternate screen, color support, OSC 8 links, OSC 52 clipboard, Kitty/iTerm2 protocols, sixel, and cross-terminal fallback design. Provides: safe protocol rules, negotiation checklists, compatibility warnings, and reference tables.

1 install
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Unity Networking · josiahsiegel
Unity multiplayer networking with NGO, Mirror, Photon, and Fish-Net. PROACTIVELY activate for: (1) building Unity multiplayer games, (2) Netcode for GameObjects (NGO) setup and patterns, (3) Mirror networking, (4) Photon PUN and Photon Fusion, (5) Fish-Net networking, (6) RPCs (ClientRpc, ServerRpc), (7) NetworkVariable and network synchronization, (8) lobby and matchmaking systems, (9) dedicated server hosting and Relay, (10) server-authoritative architecture, (11) lag compensation and prediction. Provides: networking-stack comparison, NGO templates, RPC patterns, NetworkVariable usage, lobby/matchmaking setup, and authoritative-server design.

0 installs
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Fabric Onelake 2025 · josiahsiegel bundle
ADF + Microsoft Fabric / OneLake 2025 integration. PROACTIVELY activate for: (1) Fabric Lakehouse connector in ADF, (2) Fabric Warehouse connector in ADF, (3) OneLake shortcuts and cross-workspace data, (4) Invoke Pipeline activity for cross-platform orchestration (ADF -> Fabric, Fabric -> ADF), (5) copying data between ADF and Microsoft Fabric workspaces, (6) authenticating with Fabric workspace identity, (7) cross-platform parameter passing, (8) hybrid ADF + Fabric pipeline patterns. Provides: Fabric connector setup, Invoke Pipeline templates, OneLake shortcut patterns, and ADF-to-Fabric migration guidance.

1 install
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Defender For Devops · josiahsiegel
Microsoft Defender for DevOps integration with Azure Pipelines. PROACTIVELY activate for: (1) adding security scanning to a pipeline, (2) Microsoft Security DevOps task (MSDO), (3) SAST tools (CredScan, ESLint, BinSkim, Bandit, Semgrep), (4) dependency scanning (Dependency-Check, Snyk), (5) container image scanning (Trivy, Defender for Containers), (6) IaC scanning (Checkov, Terrascan), (7) secret scanning, (8) SARIF results upload, (9) Defender for Cloud connector setup, (10) compliance reporting and policy gates. Provides: MSDO task YAML, scanner enable/disable matrix, SARIF integration, Defender connector setup steps, and a quality-gate template.

1 install
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Sprint 254 Features · josiahsiegel
Azure DevOps Sprint 254-262 new features and enhancements (2025). PROACTIVELY activate for: (1) checking what is new in recent Azure DevOps sprints, (2) using new pipeline tasks introduced in Sprint 254+, (3) Azure Boards updates (delivery plans, query enhancements), (4) Azure Repos updates (branch policies, advanced security), (5) Azure Pipelines updates (1ES hosted pools, agent retirement), (6) Azure Artifacts updates (upstream sources, retention), (7) deprecation notices (TFVC, classic pipelines), (8) GitHub Advanced Security for ADO. Provides: sprint-by-sprint changelog, new feature reference, deprecation timeline, and migration notes.

1 install
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Azure Openai 2025 · josiahsiegel bundle
Azure OpenAI Service and Azure AI Foundry models (2025-2026). PROACTIVELY activate for: (1) deploying Azure OpenAI models (GPT-5, GPT-4.1, GPT-4o), (2) Azure reasoning models (o3, o4-mini), (3) Azure AI Foundry model catalog selection, (4) Azure OpenAI SDK usage (Python, .NET, JavaScript), (5) Sora on Azure for video generation, (6) deployment SKUs (Standard, Provisioned Throughput Units, Global Standard, DataZone), (7) regional availability and quota management, (8) content filters and safety policies, (9) on-your-data scenarios with retrieval, (10) embedding models and vector search. Provides: model selection matrix, SKU/quota guidance, SDK setup recipes, content-filter configuration, and on-your-data patterns.

1 install
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Github Actions 2025 · josiahsiegel
GitHub Actions 2025-2026 features and modernization. PROACTIVELY activate for: (1) 1 vCPU Linux runners (October 2025 public preview), (2) immutable releases for hardened distribution, (3) Node24 migration from Node20, (4) reusable workflows and composite actions, (5) workflow_dispatch with rich inputs, (6) artifact attestations and provenance, (7) ARC (Actions Runner Controller) for self-hosted Kubernetes, (8) larger runners and macOS Apple Silicon runners, (9) deployment environments and protection rules, (10) OIDC federation to AWS/Azure/GCP. Provides: workflow templates, runner-selection matrix, OIDC setup recipes, attestation patterns, and Node24 migration steps.

1 install
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Hook Development · josiahsiegel
Canonical guide to authoring Claude Code hooks, both prompt-based and command-based. PROACTIVELY activate for: (1) creating a hook, (2) adding PreToolUse or PostToolUse hooks, (3) validating tool use, (4) implementing prompt-based hooks, (5) blocking dangerous commands, (6) event-driven automation, (7) configuring hooks.json, (8) using ${CLAUDE_PLUGIN_ROOT}, (9) hook matchers and filtering, (10) debugging hooks that do not fire. Provides: hooks.json schema, event reference, security guidance, and examples.

0 installs
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React Performance · josiahsiegel bundle
Complete React performance optimization system. PROACTIVELY activate for: (1) React.memo and memoization, (2) useMemo and useCallback usage, (3) Code splitting with React.lazy, (4) List virtualization (react-window, react-virtuoso), (5) Avoiding unnecessary re-renders, (6) useTransition and useDeferredValue, (7) Bundle optimization, (8) Web Vitals and profiling. Provides: Profiler setup, memoization patterns, lazy loading, virtualization config, state colocation. Ensures optimal React performance with measurable improvements.

1 install
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Query Optimization · josiahsiegel bundle
This skill should be used when the user asks to optimize slow T-SQL queries, fix SQL Server performance regressions, improve SARGability, rewrite joins, prove whether joins can be removed, compare temp-table data types, select rewrite templates, diagnose parameter sniffing, evaluate query hints, inspect statistics/cardinality estimates, reduce spills or memory grants, use Query Store, or interpret plan evidence. PROACTIVELY activate for slow queries, scans vs seeks, implicit conversions, bad joins, tempdb spills, query rewrites, partition predicate safety, and before recommending indexes or hints. Provides: evidence-first workflow, rewrite templates, parameter-sniffing playbook, and gating rules before recommending indexes or hints.

1 install
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Tui Troubleshooting · josiahsiegel bundle
Use this skill when a terminal UI freezes, hangs, shows a blank screen, corrupts terminal state, leaves raw mode stuck, stops responding to input, garbles output, breaks colors/cursor state, fails over SSH/tmux/screen, behaves differently on Windows/ConPTY, or needs deep root-cause analysis for subtle terminal failure modes. PROACTIVELY activate for: TUI freeze, terminal hang, blank TUI, raw mode stuck, stdin paused, no input events, alternate screen stuck, mouse mode stuck, bracketed paste markers, garbled terminal output, corrupted cursor/colors, partial renders, resize races, terminal state cleanup bugs, npm run tui froze, and debugging terminal gotchas. Provides: freeze/hang diagnosis, terminal recovery, startup and cleanup lifecycle checks, platform triage, and fix patterns.

0 installs
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Unity Performance · josiahsiegel
Unity performance optimization for slow games, stutters, and FPS drops. PROACTIVELY activate for: (1) game is slow, stuttering, or has FPS drops, (2) Unity Profiler analysis, (3) Frame Debugger and draw-call investigation, (4) batching (static, dynamic, GPU instancing, SRP Batcher), (5) object pooling to reduce GC pressure, (6) garbage collection spikes and allocation hot paths, (7) memory leaks and Memory Profiler usage, (8) LOD and occlusion culling, (9) texture compression and mipmap settings, (10) build size reduction. Provides: profiling workflow, batching patterns, object-pool implementations, GC reduction techniques, LOD/culling setup, and texture-compression matrix.

0 installs
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Adf Validation Rules · josiahsiegel bundle
ADF activity nesting rules, limits, and validation gotchas. PROACTIVELY activate for: (1) ADF activity nesting rules (ForEach inside If, Switch, Until), (2) ForEach limitations (no nested ForEach, item limits), (3) pipeline validation errors and ARM-template build failures, (4) linked service authentication issues, (5) Set Variable restrictions in ForEach, (6) Data Flow constraints (transformation limits, source/sink rules), (7) parameter and variable scope, (8) max activities per pipeline, (9) pipeline concurrency limits. Provides: nesting rule matrix, activity limit reference, validation error catalog, and refactoring patterns for unsupported nesting.

1 install
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Aks Automatic 2025 · josiahsiegel
Azure Kubernetes Service (AKS) Automatic mode and 2025 platform features. PROACTIVELY activate for: (1) AKS Automatic (managed Kubernetes, zero operational overhead), (2) Karpenter-based autoscaling on AKS, (3) NodePool CRD usage, (4) HPA, VPA, KEDA on AKS, (5) workload identity and Microsoft Entra integration, (6) AKS billing model (Automatic vs Standard), (7) AKS 2025 cluster defaults (RBAC, Azure CNI overlay, Cilium), (8) AKS upgrade and version management, (9) GitOps on AKS (Flux, ArgoCD), (10) AKS observability (Azure Monitor for containers, Managed Prometheus). Provides: AKS Automatic vs Standard comparison, Karpenter setup, workload-identity recipes, KEDA scaler patterns, and an end-to-end AKS Automatic deployment guide.

1 install
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Security First 2025 · josiahsiegel
Security-first bash scripting patterns for 2025 (mandatory validation, zero-trust). PROACTIVELY activate for: (1) reviewing or writing security-sensitive bash scripts, (2) preventing command injection via input validation, (3) safely handling untrusted input (URLs, filenames, env vars), (4) protecting HISTFILE and avoiding secret leakage, (5) safe temporary file creation (mktemp), (6) absolute paths and PATH hardening, (7) avoiding eval and dynamic command construction, (8) signal handling for cleanup, (9) ShellCheck SC2068 / SC2086 compliance. Provides: mandatory-validation patterns, secret-handling rules, mktemp recipes, signal-safe cleanup, and a security review checklist.

1 install
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Nextjs App Router · josiahsiegel
Complete Next.js App Router fundamentals system (Next.js 15.5/16). PROACTIVELY activate for: (1) App directory structure and conventions, (2) Layouts and templates, (3) Loading and error boundaries, (4) Route groups and organization, (5) Parallel routes setup, (6) Metadata and SEO, (7) Server vs Client Components, (8) Navigation and View Transitions, (9) Async params pattern (Next.js 16 breaking change). Provides: File conventions, layout nesting, streaming UI, error handling, metadata templates, View Transitions API. Ensures correct App Router architecture with proper component boundaries.

1 install
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Nextjs Deployment · josiahsiegel
Complete Next.js deployment system (Next.js 15.5/16). PROACTIVELY activate for: (1) Vercel deployment and configuration, (2) Self-hosted Node.js deployment, (3) Docker containerization, (4) Static export with output:'export', (5) Edge Runtime configuration, (6) Environment variables, (7) CI/CD with GitHub Actions, (8) Health checks and monitoring, (9) Production optimization, (10) Turbopack production builds (Next.js 16). Provides: Dockerfile, docker-compose, PM2 config, vercel.json, GitHub Actions workflows, Turbopack config. Ensures production-ready deployment with proper configuration.

1 install
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Nextjs Middleware · josiahsiegel
Complete Next.js Middleware system (Next.js 15.5/16). PROACTIVELY activate for: (1) Creating middleware.ts (Edge) or proxy.ts (Node.js), (2) Matcher configuration, (3) Authentication protection, (4) Role-based access control, (5) Redirects and rewrites, (6) Internationalization (i18n), (7) Security headers (CSP, CORS), (8) Geolocation routing, (9) Bot detection, (10) Rate limiting patterns, (11) Node.js Middleware with proxy.ts (Next.js 16). Provides: Edge middleware patterns, Node.js proxy patterns, matcher syntax, auth guards, header manipulation, cookie handling, database access in proxy.ts. Ensures optimized request handling with proper security.

1 install
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Agent Development · josiahsiegel bundle
Canonical guide to authoring Claude Code agent frontmatter and system prompts. PROACTIVELY activate for: (1) creating a new agent, (2) adding an agent to a plugin, (3) writing agent frontmatter, (4) designing a system prompt, (5) configuring <example> trigger blocks, (6) restricting tools, (7) setting model inherit, (8) migrating deprecated agent true flag, (9) fixing "agent never triggers", (10) ensuring skills have agent trigger coverage. Provides: agent templates, lean-orchestrator pattern, and validation checklist.

1 install
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Skill Development · josiahsiegel bundle
Canonical guide to authoring SKILL.md files for Claude Code plugin skills. PROACTIVELY activate for: (1) creating a new skill, (2) adding a skill to a plugin, (3) writing SKILL.md frontmatter, (4) fixing skills that never trigger, (5) organizing core vs references vs examples, (6) improving weak skill descriptions, (7) progressive disclosure design, (8) splitting oversized SKILL.md files, (9) imperative body style, (10) zero-frontmatter SKILL.md files, (11) removing boilerplate from YAML descriptions. Provides: skill template, trigger checklist, size rules, and validation process.

1 install
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Deployment Admin · josiahsiegel bundle
Power BI deployment, CI/CD, governance, and administration. PROACTIVELY activate for: (1) Power BI deployment pipelines (Service deployment pipelines, fabric-cicd, custom workflows), (2) CI/CD for Power BI via GitHub Actions or Azure DevOps, (3) workspace management and roles, (4) row-level security (RLS) and object-level security (OLS), (5) capacity management (Premium, PPU, Fabric SKUs F2-F2048), (6) tenant settings and governance, (7) Power BI Report Server deployments, (8) service principal setup for automation, (9) data-gateway management. Provides: deployment-pipeline templates, GitHub Actions and Azure DevOps YAML, RLS/OLS implementation patterns, capacity sizing guidance, and service-principal auth recipes.

1 install
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Python Cloudflare · josiahsiegel
Complete Python Cloudflare deployment system. PROACTIVELY activate for: (1) Python Workers with Pyodide, (2) FastAPI on Workers, (3) Cloudflare Containers for heavy compute, (4) Service bindings (RPC), (5) Environment variables in Workers, (6) Cold start optimization, (7) Workflows for durable execution, (8) GPU containers for AI. Provides: Worker code patterns, wrangler config, Dockerfile templates, FastAPI integration. Ensures edge deployment with proper architecture choices.

1 install
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Opentofu Guide · josiahsiegel bundle
OpenTofu (Terraform open-source fork) guide and migration. PROACTIVELY activate for: (1) OpenTofu installation and tofu CLI usage, (2) migrating from Terraform CLI to OpenTofu, (3) provider compatibility between Terraform and OpenTofu, (4) state file compatibility, (5) OpenTofu-specific features (encrypted state, dynamic provider config), (6) Terraform Registry vs OpenTofu Registry, (7) CI/CD with OpenTofu (GitHub Actions, Azure DevOps), (8) HashiCorp BSL license vs OpenTofu MPL, (9) using OpenTofu with Terragrunt. Provides: migration checklist, CLI command mapping, encrypted state setup, registry comparison, and CI YAML templates.

1 install
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Shellcheck Cicd 2025 · josiahsiegel
ShellCheck validation as a non-negotiable 2025 workflow practice. PROACTIVELY activate for: (1) running ShellCheck on bash scripts, (2) interpreting and fixing ShellCheck warnings (SC2086, SC2068, SC2155, SC2295, SC2327, SC2328, SC2294), (3) integrating ShellCheck into CI (GitHub Actions, Azure DevOps, pre-commit), (4) per-line and per-file disable directives (when justified), (5) shellcheck-rc and project configuration, (6) ShellCheck v0.11.0 new checks, (7) suppressing false positives correctly. Provides: ShellCheck install/CI setup, common warning catalog with fixes, CI workflow templates, and a quality gate pattern that fails builds on regressions.

1 install
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Kaggle Environment · josiahsiegel
Kaggle runtime environment, paths, accelerators, and reproducibility. PROACTIVELY activate for: (1) `/kaggle/input` path errors, (2) `/kaggle/working` output placement, (3) local vs Kaggle notebook behavior, (4) GPU/TPU/accelerator selection, (5) internet enablement, (6) package/version pinning, (7) memory cleanup and timeout issues, (8) DEBUG flags for fast runs, (9) Kaggle Secrets usage guidance, (10) quota-consuming runtime settings. Provides: path conventions, runtime checklist, accelerator IDs, reproducibility patterns, and resource safeguards.

0 installs
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Notebook Lifecycle · josiahsiegel
Kaggle notebook/kernel lifecycle operations. PROACTIVELY activate for: (1) creating Kaggle notebooks or kernels, (2) `kaggle kernels init`, (3) pushing or running notebooks with `kaggle kernels push`, (4) pulling notebooks with metadata, (5) checking kernel status, files, logs, or outputs, (6) downloading output artifacts with file patterns, (7) deleting kernels, (8) Python API kernel operations, (9) auth for notebook CLI workflows. Provides: safe CLI/Python lifecycle commands, run monitoring, output retrieval, destructive-action guardrails.

1 install
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Terraform Tasks · josiahsiegel bundle
Terraform task patterns — common workflows and pipeline steps. PROACTIVELY activate for: (1) terraform init/plan/apply/destroy workflows, (2) terraform fmt and validate in CI, (3) workspace management (terraform workspace), (4) remote state backends (Azure Storage, S3, Terraform Cloud), (5) state locking and DynamoDB locks, (6) terraform import for existing resources, (7) terraform refresh and drift detection, (8) -target and -replace use cases, (9) version pinning (required_version, required_providers), (10) tfvars file conventions for environments. Provides: workflow templates, backend configuration examples, state-locking setup, import recipes, and CI pipeline patterns.

1 install
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Tui Testing Debugging · josiahsiegel bundle
This skill should be used when the user asks to test, debug, snapshot, validate, reproduce, or automate terminal UIs, curses apps, raw ANSI output, PTY-driven interactions, virtual terminal emulators, ConPTY behavior, resize tests, keyboard/mouse/paste tests, or flaky terminal snapshots. PROACTIVELY activate for: TUI testing, snapshot tests, golden files, pty integration tests, pseudo-terminal automation, ConPTY, Pexpect, node-pty, vt emulators, Textual Pilot, Ratatui snapshots, Bubble Tea tests, terminal debug logs, and CI failures. Provides: layered test strategy, deterministic snapshot rules, PTY/ConPTY patterns, debugging playbooks, and flake prevention.

0 installs
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Ffmpeg Command Syntax · josiahsiegel bundle
Complete FFmpeg command syntax reference covering option ordering, input vs output options, stream specifiers, and position-sensitive options. PROACTIVELY activate for: (1) Command syntax questions, (2) Option placement issues, (3) Input vs output option confusion, (4) Stream specifier syntax, (5) -ss/-t/-to position questions, (6) Global vs per-file options, (7) Multiple input/output handling, (8) Option order errors. Provides: Correct option placement rules, input-only vs output-only options, position-sensitive option behavior, stream specifier syntax, common mistakes and fixes.

1 install
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Ffmpeg Video Analysis · josiahsiegel bundle
Complete FFmpeg video analysis and quality control filters for automation and broadcast workflows. PROACTIVELY activate for: (1) Detecting black frames (blackdetect, blackframe), (2) Finding blurry/frozen frames (blurdetect, freezedetect), (3) Auto crop detection (cropdetect), (4) Scene change detection (scdet), (5) Interlace detection (idet), (6) Quality metrics (PSNR, SSIM, VMAF), (7) Signal analysis (signalstats), (8) Frame information logging (showinfo), (9) QC automation scripts, (10) Broadcast compliance checking. Provides: Detection filters, quality metrics, analysis commands, automation patterns.

1 install

195 published skills · page 2 of 2