- name
- skill-discovery
- description
- >
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
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 manually.
4. Install (with user confirmation)
Always ask the user before installing. Never auto-install.
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:
- Read the newly installed skill's SKILL.md
- 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.