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Found 10 Skills
Extract a validated learning from the current session, store it in the central agent learnings file, and sync the resulting Learnings section into the agent definitions used by the supported CLIs. User-only maintenance workflow for durable agent guidance.
AI Agent learning roadmap and curated resources for building production-ready agents with modern patterns like Claude Code, OpenClaw, skills, MCP, and evaluation
Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hooks_transfer enables
Saves conversation history to session log files. Use when user says "保存对话", "保存对话信息", "记录会话", "save session", or "save conversation". Automatically creates timestamped session log in sessions/ directory.
Use learned patterns and current state to predict the optimal next action
Pattern extraction and skill generation for mobile development sessions. Automatically learns from your coding patterns.
(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessions.
Create and adapt Dynamic Agentic Architecture agents that learn and evolve
Analyze the user's manual rewrite or repeated correction of Codex-generated work and propose durable, carefully scoped lessons. Use when the user asks to improve future behavior from their corrections. Do not use for ordinary task requirements or one-off implementation feedback without a request for lasting guidance.
Self-evolving skills. Record user feedback, update methodologies and rules. Trigger words: update rules, record feedback, improve skill