jc-baseline-v2-1-eval
Execute Joseph Cognitive Baseline v2.1 evaluation protocol.
Execute Joseph Cognitive Baseline v2.1 evaluation protocol.
Run different AI agent CLIs and orchestrate them for complex tasks or alternative approaches or opinions.
Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM applications with MCP servers.
Configure Home Assistant Assist voice control with pipelines, intents, wake words, and speech processing. Use when setting up voice control, creating custom intents, configuring TTS/STT, or building voice satellites. Activates on keywords: Assist, voice control, wake word, intent, sentence, TTS, STT, Piper, Whisper, Wyoming.
Implement ML pipelines, model serving, and feature engineering. Handles TensorFlow/PyTorch deployment, A/B testing, and monitoring. Use PROACTIVELY for ML model integration or production deployment.
Common reasoning protocol shared across all subagents.
Update fx-cc plugin agents, skills, or commands based on conversation learnings. Use when the user says "use /learn to...", "learn to...", "remember to...", "don't do X again", or when an agent/skill misbehaved and needs correction. This skill modifies plugin source files but does NOT commit changes - they require manual review before committing.
AIコーディング支援ツールのコンテキストファイル(CLAUDE.md等)を最適化するスキル。 以下の状況で使用: (1) ユーザーが「CLAUDE.mdを改善して」「コンテキストファイルを最適化して」と依頼した時 (2) ユーザーが明示的に「/ai-context」を実行した時-optimizer (3) AI向けドキュメントの品質改善を求められた時
创建具有自定义系统提示和工具配置的专业化 Claude Code 子代理。当用户要求创建新的子代理、自定义代理、专业助手,或为 Claude Code 配置特定任务的 AI 工作流时使用。
Expert knowledge for Technology Layer modeling in Documentation Robotics
Autonomous homelab operations using OODA loop (Observe, Orient, Decide, Act) - use when reviewing system state, planning autonomous actions, or investigating operational issues
Use when creating new skills or editing existing skills - applies prompt engineering principles to write clear, goal-focused process documentation that trusts LLM intelligence
Expert knowledge for Motivation Layer modeling in Documentation Robotics
This skill should be used when the user asks to "create MCP server", "add MCP tools", "implement FastMCP endpoints", "expose MCP resources", "configure MCP servers", or mentions Model Context Protocol, tool schemas, or MCP integration patterns.
Train task-specific small language models (SLMs) using the Distil Labs CLI. Helps with data preparation, model training, and deployment.
論文のプレーンテキストを読み込み、ユーザーの質問に研究のプロとして分かりやすく回答するスキル。ユーザーが「この論文について質問」「論文の内容を教えて」「この研究の目的は?」などと指示した時に使用。Claude自身が直接回答する。
用于创建有效技能的指南。当用户想要创建新技能(或更新现有技能)以通过专业知识、工作流程或工具集成扩展 Claude 的能力时,应使用此技能。
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
Explain what FAF is, why it matters, and how it works when user asks about FAF, project context, AI-readiness, The Reading Order, or persistent context. Use when user says "what is FAF", "explain project.faf", "why do I need this", "how does AI context work", or shows confusion about persistent context. Teaches foundational concepts before recommending specific actions.