---
name: solo-swarm-0964eca0d912
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](https://github.com/fortunto2/searxng-docker-tavily-adapter) (private, self-hosted, free) and configure solograph MCP.


---
Source attribution: fortunto2
Original project: https://github.com/meghal86/stacksignal/blob/54afe4b75ed2eb8f0feabb2f5b57dfa4bcbb3c44/.agents/skills/solo-swarm/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: fortunto2
Original project: https://github.com/meghal86/stacksignal/blob/54afe4b75ed2eb8f0feabb2f5b57dfa4bcbb3c44/.agents/skills/solo-swarm/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Product Management, Marketing, Sales
Roles: Market Research Analyst, Product Manager, Growth Marketer, Data Analyst, Business Development
Specialties: Specialty not specified
Tools: Websearch, Webfetch, 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
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: d6068d2e9f6a4b7b25ea5034e6fa1cfe491f9cc6c75fb3f16d84a74b03f76dc4
