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SKILL verified MIT Self-run

Divergent Ideation

skill-skyf0xx-better-thinking-divergent-ideation · by skyf0xx

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Install

$ agentstack add skill-skyf0xx-better-thinking-divergent-ideation

✓ 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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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

Divergent Ideation

Generate a large quantity of ideas with judgment explicitly deferred, on the principle that quantity produces quality's raw material.

Why

Evaluating each idea as it's generated kills fluency — the mind self-censors toward the safe and obvious. Deferring judgment to a separate pass produces both more ideas and, reliably, better ones deeper in the list.

Use when / Don't use when

  • Use when: starting any generative task before a single approach has been chosen; a group is anchoring on the first idea proposed.
  • Don't use when: evaluation criteria are the actual bottleneck, not idea supply — use idea-convergence or weighted-scoring instead.

Inputs → Outputs

  • Inputs: a prompt or problem open to multiple solutions.
  • Outputs: a large raw list of ideas, unevaluated, ready for a separate convergence pass.

Principles

  • Defer all judgment during generation — no "that won't work" until the separate convergence phase.
  • Quantity correlates with quality — the 50th idea is, on average, more novel than the 5th.
  • Build on others' ideas rather than only originating your own.
  • Write every idea down, including the obvious and the silly — they often trigger better ones downstream.

Procedure

  1. State the prompt precisely; set a target quantity or time-box, not a quality bar.
  2. Generate rapidly; capture everything without commentary or filtering.
  3. When generation slows, apply a push technique — a constraint, a random stimulus, a reversal — to break the plateau.
  4. Continue past the first plateau; the second wave after a push is often where the novel ideas live.
  5. Stop at the time-box or quantity target; hand the full raw list to a separate convergence step without evaluating yet.

Common mistakes

  • Silently evaluating while "generating" — self-censorship disguised as brainstorming.
  • Stopping at the first plateau instead of pushing through it.
  • Mixing generation and evaluation in a group setting, which suppresses quieter contributors' ideas.

Examples

  • Naming a product.
  • Generating candidate root causes before a diagnosis.
  • Listing possible marketing channels, or alternative interpretations of an ambiguous result.

Related

  • [[idea-convergence]] — the required next phase.
  • [[scamper]] — a systematic push technique for plateaus.
  • [[morphological-analysis]] — the combinatorial alternative to unstructured generation.

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.