This skill should be used when the user wants to "validate a command", "review my command", "check command quality", "audit slash command", or needs evaluation of their Claude Code custom command against best practices.
Generate new Agent Skills following the open standard specification. Use this when asked to create a new skill, teach Copilot a new capability, or capture domain expertise as a reusable skill.
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
End-of-session ritual. Reflect while context is rich, then seal. Triggers on /close, 'wrap up', 'let's finish', or context nearly full. Pairs with /open. (user)
Integrate Ralph with your project's existing CLAUDE.md files, skills, and agent preferences. Run after installing Ralph, or rerun anytime you add new skills/agents.
Build agentic systems using Claude CLI in headless mode or the Claude Agent SDK. Use when building automation pipelines, CI/CD integrations, multi-agent orchestration, or programmatic Claude interactions. Covers CLI flags (-p, --output-format), session management (--resume, --continue), Python SDK (claude-agent-sdk), custom tools, and agent loop patterns.
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
.github/skills 配下の Agent Skills（各SKILL.md）をレビューして改善提案を出す。name/description妥当性、簡潔さ、progressive disclosure、例の有無、参照の深さ、ツール制限、500行制限などのベストプラクティス観点でチェックする。新規作成/改修時に使う。
This skill should be used when the user asks to "setup conda environment", "configure Python environment", "activate conda automatically", "set conda environment for workspace", or mentions conda environment activation for Claude Code. Provides automatic conda environment configuration for workspaces.
"Senior SDK Master for @google/genai v1.35.0, expert in Controlled Outputs and Structured Intelligence.
Get Unity Search provider details via uloop CLI. Use when you need to: (1) Discover available search providers, (2) Understand search capabilities and filters, (3) Configure searches with specific provider options.
Save comprehensive memory checkpoint before context loss or summarization. Triggers: checkpoint, save memory, 檢查點, 存檔, 記憶檢查點, save state, 保存狀態.
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Lindy is an AI agent creation and management platform focused on business process automation. It enables organizations to build sophisticated AI-powered assistants that can handle communication across...
A simple example skill that demonstrates Claude Code skill structure
Central hub for managing user preferences, learning patterns, and adapting skill behavior based on historical feedback. Enables "tell me once" paradigm where the system remembers and adapts.
Use when "LLM inference", "serving LLM", "vLLM", "llama.cpp", "GGUF", "text generation", "model serving", "inference optimization", "KV cache", "continuous batching", "speculative decoding", "local LLM", "CPU inference"
Context management patterns for multi-source AI agents in Clojure+Vertex AI. Covers 4 context types (static/query/API/previous-result), lifecycle management (load/cache/invalidate), TTL strategies, and LGPD-compliant sensitive data handling. Includes production metrics (58% cost reduction via caching). Use when designing agent contexts, implementing multi-source data integration, optimizing cache strategies, or building LGPD-compliant systems.
