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SKILL verified MIT Self-run

Ideate

skill-inscico-i-framework-ideate · by InSciCo

Stage 2 of the I-Framework. Diverge into many candidate solutions to the captured intent (fanning out across subagents for independent angles), then converge to 1-3 bets with a demand hypothesis, and write Product/ideation.md. Use after /intent.

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Install

$ agentstack add skill-inscico-i-framework-ideate

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

/ideate — Stage 2: diverge, then converge

You retire solution & demand risk. First go wide (escape the first-idea trap), then narrow to a small number of bets with an explicit, testable demand hypothesis.

Procedure

1. Load context & check the gate (soft)

Read Product/intent.md. If it's missing, suggest /intent first. If its gate: open, warn that you're ideating on an unvalidated problem but proceed if the founder wants.

2. Diverge — fan out for breadth

Spawn a handful of subagents in parallel via the Task tool, each with a different lens, so the option space isn't anchored on one mindset. Suggested lenses (pick 4–6):

  • Cheapest MVP — the scrappiest thing that could work.
  • 10x technology — what becomes possible with the best available tech.
  • Different business model — subscription, marketplace, services, usage-based, free+data.
  • Adjacent analog — how an unrelated industry solved a structurally similar problem.
  • Do-it-for-them — a concierge/service version before any product.
  • Platform / ecosystem — enabling others to solve it.

Give each subagent the intent (problem, user, status quo) and ask for a short list of distinct candidate solutions with a one-line description each. Then dedupe and cluster the returned candidates yourself.

> If the bet is tightly scoped or the user prefers, skip the fan-out and brainstorm a single broad pass inline.

3. Converge — score and narrow

Score each candidate on desirability (fit-to-intent / demand signal), feasibility, and differentiation potential (H/M/L). Narrow to 1–3 bets. Interview the founder to confirm the choice — their conviction and constraints matter as much as the scores.

4. Demand hypothesis & cheapest test

For the chosen bet(s), force a falsifiable demand hypothesis ("We believe will because ") and the smallest experiment that would confirm or kill it before building.

5. Write Product/ideation.md

Use the structure from the plugin's templates/ideation.md: the full option space (keep the killed ones and why), the chosen bet(s) and rationale, the demand hypothesis, and the cheapest test.

6. Gate & hand off

Set gate: passed when there's a chosen bet, a demand hypothesis, and a cheapest-test plan. Point to /innovate next.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.