Idea Os
Description
Operating system for turning raw ideas into build-ready plans — a Claude Code skill
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
idea-os
An **operating system for turning raw ideas into build-ready plans** — as a Claude Code / Claude-compatible skill.
You drop in a rough problem statement or idea. It runs a five-phase pipeline (clarify → research → PRD → plan) and writes four files you can take straight to building:
questions.md— sharp, tier-adapted clarifying questionsresearch.md— market, competitors, SWOT, JTBD, distribution, trends, insightsPRD.md— problem, users, scope, non-goals, metricsplan.md— user journey (mermaid), platform/stack recommendations, phased build with kill criteria
Why this exists
Coding is having a moment. Non-developers are opening terminals. Experienced PMs are shipping side projects. The hard part isn't the code anymore — it's the gap between "I have an idea" and "I know exactly what to build, for whom, how, and how I'll know it's working."
Most PRD tools stop at the document. `idea-os` goes further — it ties research to PRD to phased plan, with opinionated platform/stack recommendations, a mermaid user-journey diagram, kill criteria per phase, and first-100-users distribution. It adapts depth to the idea's complexity and the builder's experience so a first-time builder isn't buried in jargon and a founder gets full rigor.
What you get
- Clarifying questions (4–18, complexity-adjusted) that actually change the answer
- Deep research — TAM/SAM/SOM (top-down + bottom-up), segmentation, competitor matrix with positioning map, SWOT, JTBD, distribution strategy, why-now, 3–7 non-obvious insights
- PRD — falsifiable problem statement, named personas, ranked JTBD, leading/lagging metrics, explicit non-goals
- Execution plan with:
- User journey (text walkthrough + mermaid diagram that renders on GitHub)
- Platform recommendation (web / mobile / desktop / CLI / extension / hybrid) tied to research findings
- Stack recommendation (conservative / modern / cutting-edge matrix)
- Phased build (MVP → v1 → target s
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