| name | idea-lab |
| description | Automated idea laboratory โ generates multiple diverse ideas from a context, pre-screens them, evaluates the best with multi-agent scoring via /architect, and ranks the winners. Configurable idea count, diversity axes, score thresholds, and dimension filters. Composes with /founder-mode to build the winning idea. Use when: brainstorm ideas, generate ideas, hackathon ideas, idea lab, idea factory, compare ideas, evaluate multiple ideas, which idea should I build, batch evaluation, ideation. |
| license | MIT |
| metadata | {"version":"1.0.0","category":"evaluation","tags":["ideation","brainstorming","evaluation","multi-agent","ranking","hackathon","divergent-thinking"]} |
Idea Lab โ Automated Idea Generation & Evaluation
Generate multiple diverse ideas, evaluate the best ones with 6-evaluator scoring, rank and surface the winners.
How It Works
/idea-lab "FinTech hackathon, 48h, team of 2, must use AI"
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Phase 0: Bootstrap โโโ config.json + context setup
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Phase 1: Generate โโโ N diverse ideas via forced divergence axes
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Phase 2: Pre-screen โโโ quick 1-agent score per idea, filter weak ones
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โโ PRE-SCREEN DASHBOARD โโ see all ideas ranked by estimate
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Phase 3: Deep Eval โโโ top-K ideas โ /architect (6 evaluators each)
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โโ FINAL DASHBOARD โโ comparative matrix, top recommendation
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[expand N] โ full evaluation details
[build N] โ launch /founder-mode with the winner
[refine] โ adjust context, generate more
[stop] โ save and exit
Phases
| Phase | What It Does | Agent |
|---|
| 0 - Bootstrap | Config generation, context capture | bootstrapper.md |
| 1 - Generate | N ideas with forced diversity (SCAMPER, cross-domain, axis rotation) | generator.md |
| 2 - Pre-screen | Quick 1-agent score per idea, filters below threshold | prescreener.md |
| 3 - Deep Eval | Top-K ideas evaluated via /architect (6 parallel evaluators each) | deep-evaluator.md |
| 4 - Ranking | Comparative matrix, scenario recommendations, top pick | ranker.md |
Diversity Engine
Ideas are forced to diverge across configurable axes:
- B2B SaaS, B2C consumer, open-source tool, educational, mobile-first
- SCAMPER method applied per idea
- Cross-domain analogies forced for at least 2 ideas
- Anti-obvious filter removes generic suggestions
Config
Generated at .idea-lab/config.json during bootstrap:
ideaCount: how many to generate (default 5, max 20)
topK: how many advance to deep evaluation (default 3)
minScore: minimum pre-screen score to advance (default 5.0)
diversityAxes: categories for forced divergence
dimensionFilters: e.g., {"Commercial": 7} โ only show ideas with Commercial >= 7
Composition
/idea-lab โ best idea selected โ /founder-mode โ built product with GTM kit
From "I don't have an idea" to "launched product" in one pipeline.
Dependencies
- Required:
architect skill (for Phase 3 deep evaluation)
- Optional:
founder-mode (to build the winning idea)
Usage
/idea-lab "I need an idea for a FinTech hackathon, 48 hours, team of 2"
/idea-lab "SaaS product for remote teams, must be profitable in 6 months"
/idea-lab "Open source developer tool that solves a real pain point"
/idea-lab resume
Crash Recovery
State persisted to .idea-lab/state.json. If your session crashes mid-evaluation, run /idea-lab resume to continue from the next unevaluated idea.