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solo-swarm

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Original

English
🇨🇳

Translation

Chinese

/swarm

/swarm

Create an agent team to research "$ARGUMENTS" from multiple perspectives in parallel.
创建一个Agent团队，从多个角度并行研究「$ARGUMENTS」。

Team Structure

团队结构

Spawn 3 teammates, each with a distinct research focus:
生成3个协作Agent，每个都有明确的研究方向：

1. Market Researcher

1. 市场调研Agent

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
研究方向：竞争对手、市场规模、定价模型、商业模式。
  • 搜索直接和间接竞争对手
  • 查找包含TAM/SAM/SOM数据的市场报告
  • 分析定价策略和盈利模式
  • 识别市场空白与机会
  • 在Product Hunt、G2、Capterra上查找现有产品

2. User Researcher

2. 用户调研Agent

Focus: pain points, user sentiment, feature requests.
  • Search Reddit (via SearXNG 
    engines: reddit
    , MCP 
    web_search
    , or WebSearch 
    site:reddit.com
    )
  • Search Hacker News for tech community opinions (
    site:news.ycombinator.com
    )
  • Find app reviews and ratings
  • Extract direct user quotes about frustrations
  • Identify unmet needs and feature requests
研究方向：痛点、用户情绪、功能需求。
  • 通过SearXNG（
    engines: reddit
    ）、MCP 
    web_search
    或WebSearch（
    site:reddit.com
    ）搜索Reddit
  • 搜索Hacker News获取技术社区观点（
    site:news.ycombinator.com
    ）
  • 查找应用评论和评分
  • 提取用户关于不满的直接引用
  • 识别未被满足的需求和功能请求

3. Technical Analyst

3. 技术分析Agent

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_query
    available: find shared packages across projects
  • Assess implementation complexity and timeline
研究方向：可行性、技术栈、现有解决方案、实现复杂度。
  • 在GitHub上搜索开源替代方案（
    site:github.com <query>
    ）
  • 评估技术栈选项
  • 如果MCP 
    project_info
    可用：检查现有项目以复用代码
  • 如果MCP 
    codegraph_query
    可用：查找跨项目的共享包
  • 评估实现复杂度和时间线

Search Backends

搜索后端

Teammates should use both:
  • MCP 
    web_search
     (if available) — wraps SearXNG with engine routing
  • WebSearch (built-in) — broad discovery, market reports
  • WebFetch — scrape specific URLs for details
Domain filtering: use 
site:github.com
, 
site:reddit.com
etc. for strict filtering.
Check SearXNG availability if not using MCP:
bash
curl -sf http://localhost:8013/health && echo "searxng_ok" || echo "searxng_down"
协作Agent应同时使用：
  • MCP 
    web_search
    （若可用）——封装SearXNG并支持引擎路由
  • WebSearch（内置）——广泛发现、市场报告
  • WebFetch——抓取特定URL获取详细信息
域名过滤： 使用
site:github.com
、
site:reddit.com
等进行严格过滤。
若未使用MCP，检查SearXNG可用性：
bash
curl -sf http://localhost:8013/health && echo "searxng_ok" || echo "searxng_down"

Coordination

协作机制

  • 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
  • 每个协作Agent将研究结果写入共享任务列表
  • 在协作Agent开展深度研究前，需获得计划批准
  • 全部完成后，将研究结果整合到
    research.md
    中
  • 使用
    /research
    技能中的research.md格式

Output

输出结果

After team completes, the lead should:
  1. Synthesize findings from all 3 teammates
  2. Write 
    research.md
    to 
    4-opportunities/<project-name>/
    (solopreneur KB) or 
    docs/
    (any project)
  3. Provide GO / NO-GO / PIVOT recommendation
  4. Suggest next step: 
    /validate <idea>
团队完成后，主导Agent应：
  1. 整合所有3个协作Agent的研究结果
  2. 将
    research.md
    写入
    4-opportunities/<project-name>/
    （个体创业者知识库）或
    docs/
    （任意项目）
  3. 提供GO / NO-GO / PIVOT（推进/放弃/转向）建议
  4. 建议下一步：
    /validate <idea>