DevOps & Infra

cargocult-mods Bundle

Shared reusable Tears of the Kingdom modding toolkit for file plumbing: local inspection, actor pack utilities, SARC/BYML/BGYML-oriented helpers, compact validation, BNTX/TXTG texture packaging support, and Switch Toolbox MeshCodec BFRES decompression/resave/compression helpers. Use before writing one-off scripts, and alongside specialized skills such as totk-texture-pipeline, totk-icon-pipeline, totk-bfres-model, totk-actor-cloner, totk-local-operator, and totk-as-xlink.

cargocult-mods Bundle

Work with Tears of the Kingdom BFRES model files and MeshCodec MCPK .bfres.mc containers: inspect sections, edit model/header/resource names, preserve BFRES table counts and pointers, adjust skeleton bones or vertex buffers, and recompress with game/tool-compatible MCPK. Use before or alongside higher-level TOTK model-editing skills. Cross-reference totk-texture-pipeline for BNTX/TXTG or DDS/ASTC texture work and totk-local-operator for compact local inspection/validation.

cargocult-mods Bundle

Build and validate Tears of the Kingdom inventory and UI icon workflows, including in-game icon-cache capture and review, PNG to DDS conversion, BNTX/TXTG texture packaging, Switch Toolbox based .bntx.zs overlays, and actor icon replacement under romfs/UI/Tex/Icon. Use when creating or replacing actor icons, pouch icons, generated hilt or blade icons, or any TOTK inventory icon container. For non-icon texture work, use totk-texture-pipeline.

cargocult-mods Bundle

Work with Tears of the Kingdom texture files and texture containers, including BNTX, TXTG, DDS, ASTC formats, Switch Toolbox texture replacement, ZsDic .zs packaging, UI and inventory icons, actor icon textures, material texture investigation, and texture validation. Use when a user asks about TOTK texture work, replacing textures, converting PNG or DDS files, editing BNTX or TXTG, packaging .bntx.zs files, or debugging texture output in game.

dengyie Skill

MANDATORY documentation router for the user's Obsidian vault and any ops/deploy/infra task, or ANY action involving reading, writing, creating, updating, or refactoring knowledge base notes in Obsidian. BEFORE answering ops questions from memory or grepping the vault, you MUST Read 00.MOC/AI-DOC-ROUTER.md and open only the canonical entry it names. WHENEVER writing/creating/modifying Obsidian docs or notes, you MUST strictly follow the Anti-Orphan Recording SOP (frontmatter, path, summary, and two-way link mounting to AI-DOC-ROUTER and MOC). Triggers when: user mentions ainovel, ai-novel, novel 部署/备份/生产, CPA, tebi, pxed, Bohrium, google-vps, novel.mangoq, ainovel.mangoq, 查文档, 查知识库, Obsidian, 运维文档, 部署手册, 备份仓, 记录文档, 写笔记, 记录到obsidian, 更新文档, 记到知识库, 新建笔记, 整理文档, supervisord, cloudflared token, /personal/pxed.

fengmo11 Bundle

Use when running the complete paper publication pipeline from topic intake to literature search, claim-evidence audit, experiment planning, figure contract, language cleanup, five-reviewer panel, revision, re-review, and submission gate. Coordinates the repository's machine-readable pipeline and stage-specific paper skills.

sasha-deneux Bundle

A CRE acquisitions pipeline scaffold. Drop in your buy box and it runs the pipeline shape start to finish (screen, red-flag, underwrite, score, route), in the tools you already use, ending at a human-approval gate. A generic starter that stops where a firm's real modeling logic begins.

slicervm Skill

Install and use a current Docker Engine release on Ubuntu, Debian, and Slicer VMs with Docker's official installer, non-root group access, systemd, Compose, image builds, and container runs. Use when asked to install Docker, prepare a Docker host or VM, build or run containers, use Docker Compose, or fix Docker daemon and socket access.

slicervm Bundle

Use Slicer to launch, name, tag, prepare, and cold-fork Linux microVMs for sandboxed builds, E2E tests, Docker, headless browser and DOM rendering, CI, and isolated development — works from macOS and Linux hosts

slicervm Skill

Install and run RustFS (S3-compatible object storage in Rust) in a Slicer VM, and talk to it with any S3 client (boto3, aws-cli, mc)

slicervm Skill

Install OpenFaaS Standard (Pro) on a single-node k3s and prove a side-loaded Python function end-to-end via gateway invocations. Minimal known-good steps — no pod watching, no health probing, retries on actions only. Use when asked to install OpenFaaS on Kubernetes/k3s and deploy or iterate a function.

vngcloud Bundle

Deploy and operate AI agents on GreenNode AgentBase — covers runtime deploy & lifecycle (Custom Agent and OpenClaw), and the managed Container Registry. Trigger: deploy my agent, ship it, deploy a chatbot agent for Telegram/Zalo, list/scale/delete runtimes, switch OpenClaw version, docker login, push image. DO NOT use for scaffolding agent code (use /agentbase-wizard), platform LLM API keys (/agentbase-llm), agent memory (/agentbase-memory), agent identity or outbound auth (/agentbase-identity), logs or metrics (/agentbase-monitor), tearing down all resources (/agentbase-teardown), or general platform questions (/agentbase).

vngcloud Bundle

Author authorization policies for GreenNode AgentBase resources. Covers Policy Groups, Policies, and the policy `statement` body — effect (allow/deny), principal (jwt/iam), actions, resources, and the 9 condition operators on context.*, context.input.*, principal.* keys. Today the only protected resource type is the Resource Gateway (MCP). DO NOT use for agent code (use /agentbase-wizard), identities (/agentbase-identity), memory (/agentbase-memory), or runtimes (/agentbase-deploy).

vngcloud Bundle

MANDATORY skill for ANY request to build, create, plan, or develop an AI agent, chatbot, assistant, bot, or conversational AI. ALWAYS invoke this skill first — do NOT write code manually or create standalone plans. Guides the user step by step through the full lifecycle (scaffold, memory, identity, auth, code, environment config, test, deploy, verify). Also handles standalone project scaffolding (init) and local testing/validation (test). DO NOT use for single operations on an existing agent (use the dedicated skill). DO NOT use if user just wants to learn about the platform (use /agentbase).

vngcloud Bundle

Manage GreenNode AgentBase Resource Gateway (MCP) — a managed proxy in front of user MCP servers with inbound auth, per-target outbound auth, and policy enforcement. Trigger: create/list/update/delete a gateway, register an MCP target, configure inbound auth (NONE/IAM/JWT) or per-target outbound auth (APIKEY/OAUTH, each with 2LO or 3LO flow), change VPC routes, bind a Policy Group. DO NOT use for agent runtimes (/agentbase-deploy) or for authoring policy rules (/agentbase-policy).

vngcloud Skill

Monitor, debug, view logs, metrics, and status dashboard for DEPLOYED AI agents. View runtime logs, endpoint logs, and resource metrics (CPU/RAM). Show unified dashboard of all platform resources. Trigger for show logs, check logs, what is wrong with my agent, agent crashed, debug my deployed agent, tail logs, agent is slow, agent status, show dashboard, platform overview, what do I have, list all resources, show my agents, inventory, performance, check metrics, resource usage, or any debugging/monitoring of a deployed agent. DO NOT use for managing runtime lifecycle (create/update/delete) — use /agentbase-deploy runtime. DO NOT use for local testing — use /agentbase-wizard test.

vngcloud Skill

Clean up and remove all platform resources for an agent project. Tears down runtime, identity, auth, memory, registry, and API keys in one go. Use when user wants to tear down, decommission, remove everything, start over, or delete all resources for an agent. DO NOT use for deleting a single resource — use /agentbase-deploy for runtimes, /agentbase-identity for identity/auth, /agentbase-memory for memory. Only use when intent is to remove ALL or MOST resources.

ilonatommy Bundle

Analyze CI build and test status from Azure DevOps and Helix for dotnet repository PRs. Use when checking CI status, investigating failures, determining if a PR is ready to merge, or given URLs containing dev.azure.com or helix.dot.net. Also use when asked "why is CI red", "test failures", "retry CI", "rerun tests", "is CI green", "build failed", "checks failing", or "flaky tests".

m1nga Skill

Close a product iteration the safe-but-ruthless way, in ANY repo — not tied to one product. Distill this iteration's decisions into the repo's own record, DELETE superseded baggage (git history is the archive — no _archive dirs, no .bak, no legacy- renames), verify two SEPARATE readiness channels (a confirmed cloud upload AND a tested zero-context takeover probe), rehearse the one-command new-machine bootstrap, then tag and seed the next iteration. Adapts to each repo's conventions and creates the minimum where one is missing. Run when an iteration or slice is done/approved and the user says any of — 收口 / 迭代收口 / 迭代收尾 / 收尾 / 收工 / 封版 / 发版 / 甩包袱 / 清旧账 / 蜕壳 / 这个迭代做完了 / 收尾上云 / close the iteration / wrap up this iteration / ship this iteration / finalize this iteration / done with this iteration. Also handles a STRUCTURAL overhaul as an in-repo iteration, never a new-repo restart. Product-agnostic; works in Claude Code and Codex.

andersonhjb Bundle

Process one supplied video into a verified five-platform publishing package with the user's approved centered bilingual captions, top-left chapter cards, bottom-segment progress preset, source-fidelity export, content-derived 16:9/3:4/4:3 covers in the fixed warm-paper editorial collage system, and a market-researched Markdown containing high-click-potential titles, native copy, tags, chapters, comments, cover mapping, and cited sources for 微信视频号、哔哩哔哩、小红书、抖音、YouTube. Use for full editing, packaging, final delivery, “same style as before,” or $video-publish-pipeline. Do not use for one isolated subtitle, cover, export, or copywriting task.

nikhil8bph Bundle

Design, scaffold, implement, or audit deployment infrastructure from this repository's approved planning documents and OpenAPI, AsyncAPI, and JSON Schema contracts. Use for Docker Compose, production topology, service dependencies, configuration, observability, backup/recovery, and infrastructure verification; do not use for domain-service or Angular implementation.

colbytimm Bundle

Author software- and cloud-architecture diagrams as code with d2 (d2lang.com), render them to SVG/PNG/PDF, and embed them into markdown. Includes a lookup for the correct AWS/GCP/Azure service icons (whose hosted URLs are impossible to guess) and a renderer that degrades gracefully when raster export or the icon host is unavailable. Use when asked to draw, diagram, or visualize a system, service topology, request flow, or cloud architecture — or to add such a diagram to docs/a README.

colbytimm Bundle

Inspect a live Azure Cosmos DB for NoSQL account (read-only, via the Azure CLI) and emit an "observed model" plus optimization signals. Collects container configuration (partition keys, indexing policies, TTL, provisioned throughput) and Azure Monitor server-side metrics (normalized RU consumption for hot-partition detection, 429 throttling rate, storage, document count), then writes JSON in the same shape the cosmosdb-datamodeling skill consumes. Use to review or optimize an existing account, find hot partitions, spot over-provisioned or over-indexed containers, and feed a real model into the data-modeling workflow. Requires the az CLI and `az login`. NoSQL API only.

colbytimm Bundle

Interactive, requirements-driven workflow for designing an Azure Cosmos DB for NoSQL data model. Captures access patterns, chooses embed-vs- reference and partition keys, and applies scaling patterns (synthetic and hierarchical keys, write sharding, data binning, TTL). Produces two artifacts — cosmosdb_requirements.md (working scratchpad) and cosmosdb_data_model.md (final design) — with sample documents, indexing policies, and RU/cost estimates. Use when modeling a new Cosmos DB NoSQL workload, reviewing an existing model, or migrating a relational schema. Ships helper scripts for RU/cost estimation and model linting against documented service limits.

devonjones Skill

Turn a web article into a faithful-capture literature note in an Obsidian vault. Use when the user wants to ingest a web page (blog post, essay, technical article, documentation page) into their personal source notes corpus. Fetches the page, extracts structured content (TL;DR, takeaways, faithful body prose, references). The article sibling of youtube-synthesizer — same vault conventions, same frontmatter base schema, no frame pipeline.

fast-agent-ai Bundle

Deploy fast-agent MCP Servers to Hugging Face Spaces using Docker. Use when the user wants to deploy an "agent card" as an MCP Server. Includes templates and CLI commands for deploying agent cards with custom tools to HF Spaces.

fast-agent-ai Bundle

Automate fast-agent runs from CLI, Docker, and Hugging Face Jobs. Use when users need repeatable non-interactive execution (`fast-agent go --message` / `--prompt-file`), deterministic artifact handling (`--results`), multi-model fan-out, containerization with uv, or scheduled/cloud execution with hf jobs and secrets management.

idiotleolyj Bundle

Vibe Coding 流水线的实现阶段(流水线终点,顺序 idea → interaction → architecture → design → prototype → implement)。当 interaction.md、architecture.md、design.md、prototypes/ 已就绪,用户说"开始实现""写代码""把设计落地""进入开发""implement / build it""部署 / 上线 / deploy / 发布到 CloudBase"时使用(部署经 CloudBase MCP 属本阶段联调层职责)。薄封装 superpowers 的 writing-plans → subagent-driven-development / executing-plans / test-driven-development(辅以 verification-before-completion、finishing-a-development-branch),在实现前后各加一道对齐门:把每个页面、每个交互元素转成可验收任务,并逐元素核对 interaction.md、逐接口核对 architecture.md、逐页核对 prototypes/ 且符合 design.md(视觉准则)。反触发:交互文档缺页回 vibe-interaction;技术骨架未定稿/接口缺失回 vibe-architecture;视觉准则缺失回 vibe-design;原型缺失/与文档不符回 vibe-prototype;纯调试单个 bug 且无设计变更直接用 systematic-debugging。

jfcrenshaw Bundle

Guide to CCL (pyccl), the DESC Core Cosmology Library for theoretical cosmological calculations. Use this skill whenever the user imports pyccl, works with Cosmology objects, computes angular power spectra (angular_cl), uses tracers (WeakLensingTracer, NumberCountsTracer, CMBLensingTracer), computes 3D power spectra (linear_matter_power, nonlin_matter_power), uses Pk2D, calls scalar functions like sigma8/growth_factor/comoving_radial_distance, configures halo model components, or asks about CCL cosmological calculations, units conventions, or parameter naming in any DESC pipeline context.

jfcrenshaw Bundle

How to write DESC pipeline stages and pipelines with ceci. Covers PipelineStage subclassing, inputs/outputs declarations, config_options, HDFFile/FitsFile/TextFile/YamlFile I/O, open_input/open_output, parallel iteration helpers, MPI patterns, pipeline YAML structure (modules/launcher/site/stages/inputs), stage aliasing, CLI usage, resume mode, nprocess, and NERSC/parsl deployment. Use this skill whenever the user imports ceci; subclasses PipelineStage; defines inputs, outputs, or config_options on a stage; calls open_input or open_output; writes or debugs a pipeline YAML; runs ceci from the CLI; asks about stage aliasing, DuplicateStageName, resume mode, nprocess/MPI, parsl launchers, or ceci file types.

jfcrenshaw Bundle

How to work with RAIL (Redshift Assessment Infrastructure Layers), the DESC photo-z framework built on ceci. Covers RailStage/DataStore/DataHandle patterns, namespace architecture (rail.* entry-points), DataHandle types (QPHandle, PqHandle, Hdf5Handle, ModelHandle), three modules (rail.creation/estimation/evaluation), CatInformer/CatEstimator/PZEstimator base classes, RailPipeline/RailProject, pipeline YAML format, and the catalog simulation workflow (QuantityCut/Reddener/LSSTErrorModel/Dereddener/SpecSelection). Use this skill whenever the user imports rail; works with RailStage, DataStore, or any DataHandle type; does photo-z training, estimation, or evaluation; uses any rail.creation degradation stage (QuantityCut, Reddener, LSSTErrorModel, Dereddener, ObsCondition, SpecSelection_DESI_Phy); works with qp.Ensemble PDFs; sets up a RailPipeline or RailProject; asks about photo-z algorithms (FlexZBoost, BPZ, KNN, GPz, DNF, etc.); or asks about the rail.* namespace and entry-point architecture.

jfcrenshaw Bundle

How to work with TXPipe, the DESC 3x2pt weak-lensing pipeline. Covers all pipeline phases (ingestion → photo-z → selection → calibration → masks → maps → noise maps → 2pt → covariance → theory → diagnostics), key stage names, file tags, pipeline YAML structure, and critical gotchas. Use this skill whenever the user imports txpipe; works with any TXPipe stage (TXTwoPoint, TXTwoPointFourier, TXSourceMaps, TXLensMaps, TXSourceSelector*, TXShearCalibration, TXTracerMetadata, TXSimpleMask, TXCustomMask, TXIngest*, TXBlinding, TXFourierNamasterCovariance, TXRealNamasterCovariance, TXJackknifeCenters, TXPSFDiagnostics, TXRoweStatistics, TXTauStatistics, etc.); writes a TXPipe pipeline YAML; asks about shape or shear catalogs, metacalibration or metadetect, source or lens selection, tomographic binning, 3x2pt two-point functions (shear-shear, galaxy-galaxy lensing, angular clustering), map generation, noise maps, jackknife covariance, PSF diagnostics, or theory predictions.

jfcrenshaw Skill

Guide to photerr, a Python library for photometric error modeling in astronomical imaging surveys (LSST/Rubin, Euclid, Roman). Covers ErrorModel/ErrorParams architecture, survey-specific models (LsstErrorModel, EuclidErrorModel, RomanErrorModel and variants), parameter customization (nYrObs, nVisYr, m5, theta, gamma, scale, sigmaSys), non-detection handling (ndMode, sigLim, ndFlag), extended-source aperture corrections (extendedType="auto"/"gaap"), and getLimitingMags. Use this skill whenever the user imports photerr; works with LsstErrorModel, EuclidErrorModel, RomanErrorModel, or ErrorModel; calls getLimitingMags; simulates photometric errors or survey depth; applies photometric noise to a magnitude catalog; handles non-detections or limiting magnitudes; models extended-source (galaxy) photometry; compares survey depths or error budgets across LSST, Euclid, or Roman; or asks how to add realistic photometric scatter to a simulated catalog. For RAIL pipeline stages that wrap photerr (LSSTErrorModel degradatio

jstanden Skill

The agent terminal -- its commands, absolute paths, how `search` actually matches, the `|` Twig pipeline, and /tmp as a compute surface. Load it before your first search comes back empty.

poudatmorteza Skill

Apply Gang of Four Design Patterns (Gamma, Helm, Johnson, Vlissides) when designing, implementing, or refactoring object-oriented code. Use for pattern selection, creational/structural/behavioral design, flexibility without over-engineering, or when the user mentions design patterns, GoF, Strategy, Factory, Observer, Decorator, or Lexi case study.

aliyun Bundle

Install Alibaba Cloud Agent Toolkit end-to-end: verify and set up prerequisites (uv, Alibaba Cloud CLI, authentication, CLI plugins, MCP Server Core, bearer token exchange), then install the toolkit via openplugin. Use when: alibabacloud agent toolkit install, environment check, prerequisite check, setup alibabacloud, plugin install, toolkit setup, mcp core setup, aliyun CLI setup.