analyze-attachments
Deep attachment analysis with extraction, importance classification, and content analysis for emails and threads.
Deep attachment analysis with extraction, importance classification, and content analysis for emails and threads.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Use when the user asks to investigate, explore, understand, explain, or analyze how an existing feature or logic works. Triggers on keywords like "how does", "explain", "what is the logic", "investigate", "understand", "where is", "trace", "walk through", "show me how".
Generate high-quality images from text prompts using fal.ai's text-to-image models. Supports intelligent model selection, style transfer, and professional-grade outputs.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Artifacts are automatically saved to ~/Desktop/Artifacts directory. Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Create, fix, and validate skills for AI agents. Use when user says 'create a skill', 'write a skill', 'build a skill', 'fix my skill', 'skill not working', 'analyze my skill', 'run skill analysis', 'validate skill', 'audit my skills', 'check character budget', 'create a skill from this session', 'turn this into a skill', 'make this reusable', 'can this become a skill', 'could we create a skill', 'should this be a skill', 'check if this could be a skill', or 'any reusable patterns in this session'.
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality.
Search the web using Kagi. Use for web searches with Quick Answer AI summaries.
Select appropriate Claude model (Opus 4.5, Sonnet, Haiku) for agents, commands, or Task tool invocations based on task complexity, reasoning depth, and cost/speed requirements.
Use to maintain context across sessions - integrates episodic-memory for conversation recall and mcp__memory knowledge graph for persistent facts
This skill is for writing integrations to the Ruby SDK. Claude acts as the engineer implementing LLM provider or agentic framework integrations. Use when adding support for OpenAI-like providers, Anthropic-like providers, or agent frameworks. Covers TDD workflow, comprehensive testing (streaming/non-streaming/tokens/multimodal), defensive coding, MCP validation, and StandardRB compliance.
MCP server integration for programmatic task and skill management. Use when managing tasks via MCP protocol, enabling/disabling skills programmatically, or integrating Rulebook with AI assistants through Model Context Protocol.
エージェント、メモリ、ツール統合パターンを備えたLangChainフレームワークを使用してLLMアプリケーションを設計します。LangChainアプリケーションの構築、AIエージェントの実装、または複雑なLLMワークフローの作成時に使用します。
Orchestrate multiple AI models (GLM, MiniMax, etc.) as workers using Pi Coding Agent with Claude as coordinator.
Design code for testability and AI/LLM ergonomics with explicit contracts and observable patterns. Use when optimizing code for AI tools, improving testability, or making codebases LLM-friendly.
Claude Code AI-assisted development workflow. Activate when discussing Claude Code usage, AI-assisted coding, prompting strategies, or Claude Code-specific patterns.