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ai-response-refiner
AI応答を洗練・改善するスキル。粗い出力を流暢で専門的な文章に変換。構造化、明確化、詳細化、トーン調整、専門性向上、読みやすさ改善を実施。
context-pack-format
รูปแบบการจัดเตรียม context ให้กระชับ มีโครงสร้าง และใช้ token อย่างมีประสิทธิภาพ
motion-planning
Generate production-quality Python code for robot motion planning algorithms that run in Pyodide (browser). Creates educational code for teaching path planning (A*, RRT), trajectory optimization, PID control, model predictive control (MPC), and whole-body control. Focuses on algorithm implementation, visualization, and educational clarity.
context-initializer
Automatically invokes init-explorer agent when project context is empty or unknown.
stagehand-expert
Master Architect in Stagehand V3. Expert in proactive code research, resilient automation, and high-precision AI agent orchestration.
mcp-server
Model Context Protocol server exposing AI Factory tools to Claude Desktop
langchain-agents
Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.
whisper-lolo-transcription-jobs
Implement or adjust background transcription jobs for whisper-lolo. Use when wiring Inngest events, handling long-running jobs, chunking before transcription, persisting transcripts, or maintaining the TranscriptionProvider abstraction.
weather-agent
Expert guidance for deploying and managing containerized AI agents on Microsoft Foundry Agent Service. Use this skill when building production-ready, scalable AI agents using code-based frameworks (Microsoft Agent Framework, LangGraph, or custom implementations) that need enterprise-grade hosting, scaling, observability, and integration with Azure services.
reviewing-skills
Review skill files for best practices compliance (naming, description, structure, size). Use when checking SKILL.md quality or getting feedback before publishing. Static analysis only - does NOT execute the skill.
ai-auditability
Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.
codex-advisor
Get a second opinion from OpenAI Codex CLI for plan reviews, code reviews, architecture decisions, and hard problems. Use when you need external validation, want to compare approaches, or are stuck on a difficult problem.
ai-code-review-collaboration
Framework for bouncing code reviews between multiple AI models (Claude, Gemini, DeepSeek, GPT, etc.) to get comprehensive analysis. Use when user wants multiple AI perspectives on code, architecture decisions, or technical reviews. Triggers on "get other AI opinions", "review with multiple AIs", "bounce ideas off other AI", "multi-AI review", or "collaborative AI review".
embedding-pipeline
Implement reusable embedding functions using Gemini embedding models via LangChain with proper error handling and batching for sitemap-crawled content.
rag-chatbot-enhancement
Improves the RAG (Retrieval-Augmented Generation) chatbot for the Physical AI & Humanoid Robotics textbook with strict grounding, citation requirements, and performance optimization.
moai-foundation-core
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
strands-agent-architect
Design, build, deploy, and troubleshoot AI agents using AWS Strands Agents Framework (PRIMARY), Google ADK v1.0, A2A (Agent-to-Agent) protocols, and AWS Bedrock AgentCore. Use when creating new agents, implementing agent communication patterns, configuring AgentCore runtime, setting up RAG pipelines, integrating with Gemini 3.0, debugging deployment issues, or optimizing agent performance.
