Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Launch 3 parallel research agents (market, users, tech) to investigate an idea from multiple angles simultaneously. Use when user says "swarm research", "par...
Launch 3 parallel research agents (market, users, tech) to investigate an idea from multiple angles simultaneously. Use when user says "swarm research", "par...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Create an agent team to research "$ARGUMENTS" from multiple perspectives in parallel.
Spawn 3 teammates, each with a distinct research focus:
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
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
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
Teammates should use available search tools: WebSearch (built-in) โ broad discovery, market reports, always available WebFetch โ scrape specific URLs for details, always available MCP web_search (if available) โ additional search with engine routing MCP kb_search (if available) โ search local knowledge base for related research Domain filtering: use site:github.com, site:reddit.com etc. for targeted results.
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
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>
Cause: CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS env var not set. Fix: Ensure .claude/settings.json has "env": {"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"}.
Cause: Research areas not clearly separated. Fix: Each teammate has a distinct focus (market/users/tech). The lead synthesizes and deduplicates findings.
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.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.