Skill: lpb123/auto-skill-discovery (version 1.0.0)

--- name: skill-discovery description: > Automatically discover, search, and install skills from ClawHub — the public skill registry for OpenClaw — when no locally installed skill can fulfill the user's request. Acts as a "skill gap filler": when the agent encounters a task it cannot handle with existing skills or built-in tools, it searches ClawHub for a matching skill, presents options to the user, and installs their choice with one command. Use when: (1) the user asks for a capability that no installed skill can fulfill, (2) the user explicitly says "find a skill", "search for a skill", "is there a skill for X", "install a skill from ClawHub", or "search ClawHub", (3) the agent determines that a specialized ClawHub skill would handle the task better than general-purpose reasoning or existing tools, (4) the user asks "what skills are available for X" or "can OpenClaw do X". Triggers on phrases like: "find a skill", "search skills", "install a skill", "search ClawHub", "is there a plugin for", "can you do X", "I need a tool for", "有没有能做X的技能", "帮我找个技能", "搜一下技能", "装个技能". Also activates when no available_skills entry matches the user's intent and the task is clearly skill-shaped (domain-specific workflow, specialized integration, or multi-step procedure). --- # Skill Discovery Automatically search ClawHub for skills that match the user's needs and offer to install them. ## When to Activate - No local skill matches the user's request - User explicitly asks to find or install a skill - Agent determines a specialized skill would handle the task better than general-purpose reasoning ## Workflow ### 1. Identify the Need Extract 1-3 concise search keywords from the user's request. Focus on the core capability, not the full sentence. Examples: - "帮我管理 Docker 容器" → `docker` - "I need to process CSV files" → `csv` - "能不能帮我发邮件" → `email` ### 2. Search ClawHub ```bash openclaw skills search "<keywords>" ``` If no results, try alternative keywords or broader terms. ### 3. Present Results Show the user what was found in a concise list: - Skill name / slug - Brief description - Relevance to their request If nothing relevant is found, tell the user honestly and suggest they could create one or check [clawhub.ai](https://clawhub.ai) manually. ### 4. Install (with user confirmation) **Always ask the user before installing.** Never auto-install. ```bash openclaw skills install <slug> ``` After install, inform the user: - The skill is installed - They need to **start a new session** (or the agent needs a restart) for the skill to take effect - Alternatively, they can read the new SKILL.md immediately to use it in the current session ### 5. Immediate Use (optional) If the user wants to use the skill right away in the current session: 1. Read the newly installed skill's SKILL.md 2. Follow its instructions to handle the original request ## Guidelines - **Don't over-search**: Only trigger when there's a genuine gap. If the task can be done with existing tools (exec, read, web_fetch, etc.), just do it. - **Be specific**: Use precise keywords. "weather" not "get the current weather forecast for my city". - **Respect the user**: Always confirm before installing. Show what you found, let them decide. - **One at a time**: Search and install one skill per request. Don't bulk-install.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)