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Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

Error handling patterns across languages and layers — operational vs programmer errors, retry strategies, circuit breakers, error boundaries, HTTP responses, graceful degradation, and structured logging. Use when designing error strategies, building resilient APIs, or reviewing error management.

Generate benchmark tasks from git history of the current or specified repository. Use this skill when the user wants to: - Create benchmark tasks based on real problems their team already solved (closed PRs, past commits, resolved issues) - Mine git history for good evaluation candidates - Turn a commit range or set of PRs into a NASDE benchmark - Build a regression test suite from their team's ac

Create coding agent benchmarks for evaluation with nasde. Use this skill when the user wants to: - Create a new benchmark project (set of tasks for evaluating coding agents) - Add tasks to an existing benchmark - Create or modify agent variants (configurations that control agent behavior) - Set up assessment dimensions and scoring criteria - Verify that a new benchmark's Docker environment and tes

Use when managing the pynchy service on the server — deploying changes, observing logs, checking service status, restarting the service, setting up GitHub auth, rebuilding the agent container, or running any commands on pynchy-server via SSH. Also use when interacting with the LiteLLM proxy — investigating failed requests, model routing errors, spend tracking, health checks, API gateway diagnostic

Guide for llama.cpp, the C/C++ LLM inference framework by ggml-org. Covers the C API (llama.h), GGUF format, quantization (Q4_K_M, Q8_0, IQ4_XS), CMake builds, GPU backends (CUDA, Vulkan, Metal, ROCm), HTTP server with OpenAI-compatible API, embeddings, grammar constraints, function calling, LoRA, speculative decoding, multimodal, and UE5 integration. Use when: llama.cpp, GGUF models, local LLM in

Use Context Hub (chub) for curated, versioned API/SDK docs and agent skills. Keep OpenAI tasks on official docs first.

Gerencia especificações persistentes para fluxos de trabalho de codificação de IA. Ative esta skill quando o usuário mencionar explicitamente especificações, forjamento, planejamento estruturado ou comandos relacionados à criação, implementação ou listagem de especificações.

Source royalty-free images and videos from Pexels API for design, placeholders, or content. Supports search, curated/popular content, collections, multiple resolutions, and ALWAYS creates detailed sidecar metadata files.

CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.

CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.