How do I install the Solo Swarm skill?

Run npx skillmds@latest add modbender/solo-swarm in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Solo Swarm safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Solo Swarm?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Solo Swarm free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Solo Swarm?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Solo Swarm by modbender — Agent Skill

Name: Solo Swarm
Rating: 4.2 (5 reviews)
Author: modbender

Solo Swarm

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).

modbender Updated Sep 9, 2026 12 repo stars

File contents

/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:

Synthesize findings from all 3 teammates
Write research.md to docs/ in the current project directory
Provide GO / NO-GO / PIVOT recommendation
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.

---name: solo-swarmdescription: 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--- # /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.

Frequently asked questions