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Swarm

Launch 3 parallel research agents (market, users, tech) to investigate an idea from multiple angles simultaneously. Use when user says "swarm research", "par...

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版本1.6.0
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技能说明


name: solo-swarm description: Launch 3 parallel research agents (market, users, tech) to investigate an idea from multiple angles simultaneously. Use when user says "swarm research", "parallel research", "investigate fast", "3 agents", "team research", or wants faster alternative to /research. Produces research.md. Do NOT use for solo research (use /research) or idea scoring (use /validate). license: MIT metadata: author: fortunto2 version: "1.6.0" openclaw: emoji: "🐝" allowed-tools: Read, Grep, Glob, Bash, WebSearch, WebFetch, Write, mcp__solograph__web_search, mcp__solograph__kb_search, mcp__solograph__project_info, mcp__solograph__codegraph_query, mcp__solograph__codegraph_explain, mcp__solograph__project_code_search, mcp__solograph__session_search argument-hint: "[idea name or description]"

/swarm

Create an agent team to research "$ARGUMENTS" from multiple perspectives in parallel.

Team Structure

Spawn 3 teammates, each with a distinct research focus:

1. Market Researcher

Focus: competitors, market size, pricing models, business models.

  • Search for direct and indirect competitors
  • Find market reports with TAM/SAM/SOM figures
  • Analyze pricing strategies and monetization
  • Identify market gaps and opportunities
  • Check Product Hunt, G2, Capterra for existing products

2. User Researcher

Focus: pain points, user sentiment, feature requests.

  • Search Reddit for user discussions (site:reddit.com <query> via WebSearch, or MCP web_search if available)
  • Search Hacker News for tech community opinions (site:news.ycombinator.com)
  • If MCP session_search available: check if this idea was researched before in past sessions
  • Find app reviews and ratings
  • Extract direct user quotes about frustrations
  • Identify unmet needs and feature requests

3. Technical Analyst

Focus: feasibility, tech stack, existing solutions, implementation complexity.

  • Search GitHub for open-source alternatives (site:github.com <query>)
  • Evaluate tech stack options
  • If MCP project_info available: check existing projects for reusable code
  • If MCP codegraph_explain available: get architecture overview of similar existing projects
  • If MCP codegraph_query available: find shared packages across projects
  • If MCP project_code_search available: search for reusable patterns, services, infrastructure across existing projects
  • Assess implementation complexity and timeline

Search Backends

Teammates should use available search tools:

  • WebSearch (built-in) — broad discovery, market reports, always available
  • WebFetch — scrape specific URLs for details, always available
  • MCP web_search (if available) — additional search with engine routing
  • MCP kb_search (if available) — search local knowledge base for related research

Domain filtering: use site:github.com, site:reddit.com etc. for targeted results.

Coordination

  • Each teammate writes findings to a shared task list
  • Require plan approval before teammates start deep research
  • After all complete, synthesize findings into research.md
  • Use the research.md format from /research skill

Output

After team completes, the lead should:

  1. Synthesize findings from all 3 teammates
  2. Write research.md to docs/ in the current project directory
  3. Provide GO / NO-GO / PIVOT recommendation
  4. Suggest next step: /validate <idea>

Common Issues

Agent team not available

Cause: CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS env var not set. Fix: Ensure .claude/settings.json has "env": {"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"}.

Teammates produce overlapping findings

Cause: Research areas not clearly separated. Fix: Each teammate has a distinct focus (market/users/tech). The lead synthesizes and deduplicates findings.

Web search returns limited results

Cause: No additional search backends configured. Fix: Teammates fall back to WebSearch (built-in) which is always available. For richer results with engine routing (Reddit, GitHub, YouTube), set up SearXNG (private, self-hosted, free) and configure solograph MCP.

如何使用「Swarm」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Swarm」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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