JuanMarchettoJuanMarchetto/agent-skills/skills/idea-lab/SKILL.md

idea-lab

Skill5 starsChanged 8 months agoMITView on GitHub

Automated idea laboratory — 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.

In this repository29 other files it gives its agents.
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SKILL.md

Idea Lab — 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"
        │
        ▼
  Phase 0: Bootstrap ─── config.json + context setup
        │
        ▼
  Phase 1: Generate ─── N diverse ideas via forced divergence axes
        │
        ▼
  Phase 2: Pre-screen ─── quick 1-agent score per idea, filter weak ones
        │
        ▼
  ══ PRE-SCREEN DASHBOARD ══ see all ideas ranked by estimate
        │
        ▼
  Phase 3: Deep Eval ─── top-K ideas → /architect (6 evaluators each)
        │
        ▼
  ══ FINAL DASHBOARD ══ comparative matrix, top recommendation
        │
        ▼
  [expand N] — full evaluation details
  [build N]  — launch /founder-mode with the winner
  [refine]   — adjust context, generate more
  [stop]     — 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} — only show ideas with Commercial >= 7

Composition

/idea-lab → best idea selected → /founder-mode → 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.

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