research-driven-planning
Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitigated plans to parallel-swarm-implementation. Use when starting new features or projects requiring comprehensive planning with <3% failure confidence and evidence-based technology selection.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install DNYoussef/ai-chrome-extension/research-driven-planningskilz install DNYoussef/ai-chrome-extension/research-driven-planning --agent opencodeskilz install DNYoussef/ai-chrome-extension/research-driven-planning --agent codexskilz install DNYoussef/ai-chrome-extension/research-driven-planning --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/DNYoussef/ai-chrome-extensioncp -r ai-chrome-extension/.claude/skills/research-driven-planning ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- ai-chrome-extension
- Type
- Non-Technical
- Meta-Domain
- data ai
- Primary Domain
- data analysis
- Market Score
- 12
Browse Category
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