project-init
Generate a project-specific CLAUDE.md file by auto-detecting tech stack and asking clarifying questions. Use when starting work on a new project or when a project lacks a CLAUDE.md.
Generate a project-specific CLAUDE.md file by auto-detecting tech stack and asking clarifying questions. Use when starting work on a new project or when a project lacks a CLAUDE.md.
Best practices for writing AGENTS.md, agent configs, and skill files based on industry research
Guides creation of 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). Covers tool design, authentication, Docker deployment, and evaluation creation. NOT when consuming existing MCP servers (use the server directly).
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Guide for distinguishing Claude Code features (Commands, Skills, Agents, Hooks, Rules) and selection criteria. Use when decomposing context files, deciding where to add new features, or customizing Claude Code.
Process learning resources from markdown files, extract content, identify clusters, and create Ship-Learn-Next learning paths
Add MCP servers to Claude Code configuration at user level (~/.claude). Supports stdio, HTTP, and SSE transports with environment variable prompting. Use when "add mcp server", "install mcp", "configure mcp server", "new mcp", or "setup mcp server".
Sync Azure Codex fork with OpenAI Codex upstream while preserving Azure features
Handle vision/image tasks (read, describe, analyze images) by calling Gemini CLI or Qwen Code CLI from the shell. Use for requests to interpret or describe images, extract visible text, or summarize visual content; prefer Gemini and fall back to Qwen if Gemini fails or is too generic.
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
Core rules for Alfred SuperAgent - 3-Layer Architecture, 4-Step Workflow, Agent-First
Set up AI inference servers on cloud GPUs. Create private LLM APIs (vLLM, TGI), image generation endpoints, embedding services, and more. All with OpenAI-compatible interfaces that work with existing tools.
Amazon Bedrock Model Customization with fine-tuning, continued pre-training, reinforcement fine-tuning (NEW 2025 - 66% accuracy gains), and distillation. Create customization jobs, monitor training, deploy custom models, and evaluate performance. Use when customizing Claude, Titan, or other Bedrock models for domain-specific tasks, adapting to proprietary data, improving accuracy on specialized workflows, or distilling large models to smaller ones.
Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.
Patterns for building AI-powered chatbot backends using OpenAI Agents SDK with MCP (Model Context Protocol) server integration in FastAPI applications. Supports both standalone MCP servers and function tools.
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
Claude Code自動相談システム。行き詰まった時にSonnet/Opus APIに相談する。2回失敗で自動提案、ハイブリッドエスカレーション。
Loads (copies) a skill from a local source directory into the current project's skill library (.claude/skills). Use this when the user wants to import or copy a skill from another location on the filesystem.
Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.
Route tasks to small model by default, escalate to large model only on low confidence detection, achieving 87% faster learning and 10-30x cost reduction while maintaining accuracy. Use for cost optimization, confidence-based delegation, routine vs complex task routing, and resource efficiency. Triggers on "optimize cost", "model routing", "confidence threshold", "small model first", "escalate on uncertainty".