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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...
启动3个并行研究代理(市场、用户、技术),从多角度同时调研创意。当用户提及“swarm research”等关键词时触发。
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概述

/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 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 )
  • 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

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.

版本历史

共 1 个版本

  • v1.6.0 当前
    2026-03-29 08:47 安全 安全

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