Results for “dep”

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Use this skill when the user asks about truck purchase financing, leasing options, factoring, fuel surcharge math, lease-purchase agreements, the total-cost-of-ownership (TCO) comparison between buying + leasing, and how owner-operators finance their first truck. Cover Section 179 + Bonus Depreciation tax treatment.

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Hardens GitHub Actions workflows against supply chain attacks, credential theft, and privilege escalation by pinning actions to SHA digests, minimizing GITHUB_TOKEN permissions, preventing script injection, and implementing workflow change controls.

Scaffolds or audits Zod-validated environment variables for a Next.js service, including src/lib/env.ts, .env.example, scripts/check-env.ts, and pnpm check:env. Use when adding env vars, auditing process.env usage, or aligning with deployment secrets.

Use when tasks involve Xget URL rewriting, registry/package/container/API acceleration, integrating Xget into Git, download tools, package managers, container builds, AI SDKs, CI/CD, deployment, self-hosting, or adapting commands and config from the live README `Use Cases` section into files, environments, shells, or base URLs.

CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.

Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.

Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.

Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.

Generate unique entity IDs following the project's configured format. The write-side foundation that every entity-creating skill depends on. Use whenever a new entity is being created and needs an ID, or when validating an ID format, or to inspect the project's ID configuration.

Organize messy laptop folders like Desktop, Downloads, and Documents into smart categories. Scans your folders, groups files by purpose and content, and creates a clean structure with dynamic depth based on how many files you have. Works on macOS, Windows, and Linux. Always asks before moving anything.

Create a real 3D WebGL object with geometric mesh depth, physically based material, directional and ambient lighting, perspective camera, subtle rotation, and floating motion. Use when a page needs a faceted 3D hero object or product-like visual with real lighting instead of CSS transform tricks.

Use when tasks involve Xget URL rewriting, registry/package/container/API acceleration, integrating Xget into Git, download tools, package managers, container builds, AI SDKs, CI/CD, deployment, self-hosting, or adapting commands and config from the live README `Use Cases` section into files, environments, shells, or base URLs.

Build type-safe AI agents and graph-based workflows with PydanticAI and PydanticGraph. Agent creation, function tools, capabilities, dependency injection, structured output, streaming, multi-agent patterns, testing, evals, and graph state machines. Use whenever you are building agents, tool-using LLM workflows, or graph-based state machines in Python.

Instrument browser/web apps with the Application Insights JavaScript SDK for Real User Monitoring (RUM), including page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and GenAI agent traces correlated to backend OpenTelemetry traces.

Guides vertical scaling decisions for Qdrant vector databases, covering when to scale up, how to resize nodes in Qdrant Cloud or self-hosted deployments, RAM sizing formulas, and when to switch to horizontal scaling.

Build a comprehensive catalog of API endpoints including documented, undocumented, shadow, zombie, and deprecated APIs using passive traffic analysis, active scanning, DNS enumeration, JavaScript analysis, and cloud resource inventory.

Identify and remediate Amazon S3 bucket misconfigurations that expose sensitive data, including enabling Block Public Access, auditing policies and ACLs, enforcing encryption, configuring access logging, and deploying automated remediation with AWS Config and Lambda.

Deploys and manages Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Parses Falco alerts for incident response.

Write, review, or refactor C# unit tests using XUnit v3, NSubstitute, FluentAssertions, and Atc.Test. Use this skill whenever the user asks to create tests, add test coverage, fix failing tests, mock dependencies with NSubstitute, or follow the ClassName_MethodUnderTest_ExpectedBehavior naming convention in a .NET/C# project.

Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.

Release npm packages end-to-end: Changesets version bump, CHANGELOG update, GitHub Actions OIDC publish, and post-release verification. Use when the user says "release to npm", "publish this package", "ship a new version", "cut a release", "update the changelog", or combines a package name with a release verb.

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.

Design and implement clear, modular, resilient software and create executor-grade implementation plans with explicit scope, drift checks, verification gates, tests, STOP conditions, dependencies, and delegated-work review. Use for development, refactoring, architecture, implementation planning, safe migrations, handoffs to another engineer or agent, or verifying delegated code changes.

Analista do Time Reversa Docs. Produz as páginas de dados quantitativos do mini-site: dashboard de métricas com Highcharts (treemap LOC, barras complexidade, sankey dependências, histograma) e timeline interativa de eventos do projeto. Ative com /reversa-docs-analyst, reversa-docs-analyst, regenerar métricas, refazer timeline, dashboard do projeto.

All-in-one fullstack dev engine. /aura: 46 modes (build/fix/clean/deploy/review/spec/lore/ax/experiment/payment/debug/qa/orchestrate/escalate+), 6-layer security with 32 hooks, tiered models (ZERO/ECO/PRO/MAX), 8 languages, 16 specialized agents, SPEC/EARS/TRUST5/XLOOP/RALF/Autopus absorbed. ~55% token savings.

Use when building a scroll-driven cinematic 3D landing experience for any brand: AI-generated photoreal frames displaced into real 3D by depth maps, a scroll-scrubbed camera fly-through with weighted-leg pacing and per-leg camera moves, mouse parallax, explode-on-scroll shatter transitions, an ember particle field, warp streaks, a live in-scene terminal that runs a REAL product demo, a branded preloader, an exit handoff into the page below, a self-hosted display typeface, phone gyro parallax, and opt-in synthesized ambient sound. Covers 2K image generation via OpenRouter, depth maps, the WebGL engine, chrome (nav/consent) integration, the observe-first verify loop, and the flag-off ship posture.

CloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.

Automates static analysis of Android APK/AAB files using MobSF to identify hardcoded secrets, insecure permissions, vulnerable components, and weak cryptography for pre-deployment security assessments or CI/CD integration.

Deploy Caddy on a remote Linux host to expose a local HTTP backend as trusted HTTPS, prioritizing a user-owned domain with Let's Encrypt HTTP-01 and falling back to DuckDNS DNS-01 when needed.

Use when planning an IPSN-lineage project timeline from track/venue selection through the CPS-IoT Week deadline, double-blind submission, deployment and hardware logistics, rebuttal, the Best Research Artifact Award, and the dual ACM/IEEE camera-ready — with honest handling of the fact that IPSN merged into SenSys.

Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns. Handles complex module design, multi-cloud deployments, GitOps workflows, policy as code, and CI/CD integration. Covers migration strategies, security best practices, and modern IaC ecosystems. Use PROACTIVELY for advanced IaC, state management, or infrastructure automation.

Initiates a 6‑month trial of DHEA replacement in women with primary adrenal insufficiency (PAI) who have persistent low libido, depressive symptoms, or low energy despite otherwise optimized glucocorticoid and mineralocorticoid therapy. If the patient does not report a sustained beneficial effect after 6 months, discontinue DHEA.

Design and operate bounded multi-agent workflows with task decomposition, dependency graphs, ownership, handoff contracts, shared-state controls, approvals, recovery, and synthesis. Use when a task contains genuinely independent workstreams, specialized roles, parallel research or implementation, reviewer-worker loops, or coordination problems that one agent should not execute sequentially.