技能列表

Watch your agent's identity evolve from its own experience — continuous discovery, genome snapshots, and growth tracking

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Executive function system for AI agents: GTD-style task management, error/learning capture, and periodic self-review using Taskwarrior. Use when: (1) tracking multi-step goals or internal agent tasks, (2) logging command failures, user corrections, or missing capabilities, (3) running a self-improvement or review loop, (4) managing continuity across sessions, (5) triaging a backlog of agent work. Reference implementation uses Taskwarrior; patterns are portable to other task backends.

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Create a new OpenClaw agent with a workspace directory and SOUL.md configuration. Use when you need to create a new agent, set up an agent workspace, configure SOUL.md, or initialize agent memory structure.

Provides debugging assistance for AI-generated code with pattern detection, common issue identification, and fix suggestions across multiple programming languages including C#/.NET Core and Visual Studio integration guidance.

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

Stealth-first browser automation for OpenClaw using agent-browser-stealth. Use when tasks involve bot-protected websites, anti-fingerprint evasion, captcha-prone flows, login persistence, region-sensitive targets (e.g., Shopee/TikTok/e-commerce), or any request to automate web actions with lower detection risk.

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

Agent coordination meeting to brainstorm ideas, review tasks, and plan work. Use for the 4-hour subagent sync meetings.

Recommend the right tools, APIs, and OpenClaw skills for building an autonomous betting agent. Assesses user goals (sports betting, prediction markets, or hybrid), budget, and technical level. Maps to the four-layer Agent Betting Stack. Use when asked about getting started, what tools to use, or how to build a betting agent.

Automatically discover what your AI agent believes by analyzing its real outputs — Pattern-Based Distillation for agent behavior