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Solo Swarm

ASecurity

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).

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  • Added November 11, 2026
researchrustgobashdockergitbackend

Works with

  • mcp

Security analysis

A100/100

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Scanned November 11, 2026

npx -y skills add johnalbertini14-glitch/openclaw-skills --skill solo-swarm --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
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) β€” broad discovery, market reports, always available
- **WebFetch** β€” scrape specific URLs for details, always available
- **MCP `web_search`** (if available) β€” additional search with engine routing
- **MCP `kb_search`** (if available) β€” 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](https://github.com/fortunto2/searxng-docker-tavily-adapter) (private, self-hosted, free) and configure solograph MCP.

Files in this skill

  • SKILL.md4.1 KB
  • _meta.json448 B

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