Convert vague feature requests into validated implementation plans via research, interviews, and multi-LLM review.
npx skills add https://github.com/piercelamb/deep-plan --skill deep-plan
Please help me install this Agent Skill. Skill: deep-plan Source: https://github.com/piercelamb/deep-plan/tree/main/skills/deep-plan Command: npx skills add https://github.com/piercelamb/deep-plan --skill deep-plan
Converts vague feature requests into concrete, validated implementation plans by orchestrating research, stakeholder interviews, and multi-LLM review.
Run /deep-plan @path/to/your-spec.md to begin an AI-assisted planning workflow.
High-intent search queries and answers about installing and using this skill.
End-to-end AI-assisted planning converts vague feature requests into concrete implementation plans by orchestrating research, stakeholder interviews, and multi-LLM external review into production-ready guidance.
Run /deep-plan @path/to/your-spec.md to start the AI-assisted planning workflow, which synthesizes your initial spec, research findings, and interview insights into a cohesive TDD plan.
Yes, multi-LLM external review requires Python 3.11+ with uv installed, plus access to Gemini or OpenAI APIs to validate your plans and generate planning artifacts like claude-plan.md.
Spec-driven workflows structure stakeholder interviews and research by synthesizing findings into cohesive plans, using environment validation and session management to maintain clear audit trails and guardrails.
Automated end-to-end feature planning should be avoided for simple tasks that lack complex research requirements or do not benefit from structured stakeholder interviews and multi-LLM external review.
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