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Ideate

athola/ideate

Generate diverse solution candidates with category-spanning ideation methods and rotation. Use when stuck on a design or fighting repetitive LLM output.

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the whole folder, loaded on every use
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on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/athola/claude-night-market --skill ideate

The instruction itself

9 sections, as written by the author

Ideation: Diverse Methods With Rotation

Diversity is a selection problem, not a volume problem.

Generating ten ideas from one mental frame yields ten variations

of the same idea. The fix is to ideate from different categories of

method, then rotate methods across passes so the next round does not

repeat the last. This is the documented lever against LLM mode

collapse, not a brainstorming ritual.

When NOT To Use

  • Surveying what already exists (use tome:research)
  • Cross-domain analogies specifically (use tome:triz)

The one design rule

Structure the reasoning, not the output.

"The Price of Format" (arXiv 2505.18949) found that rigid output

templates collapse output diversity, while reasoning scaffolds raise

it. So each method hands you a reasoning prompt. Do not force the

ideas into a fixed schema while generating; impose structure only when

reporting the final set.

Catalog

Seven methods that port to technical problem-solving, each tagged with

an honest evidence grade (see Sources below):

| Method | Category | Evidence |

|--------|----------|----------|

| SCAMPER | transformation | weak |

| SIT task unification | transformation | mixed |

| Morphological analysis | decomposition | mixed |

| SIT subtraction | decomposition | mixed |

| Cross-domain analogy (TRIZ) | analogical | mixed |

| Inversion (pre-mortem) | inversion | anecdotal |

| Constraint provocation | perturbation | anecdotal |

The grades are deliberately conservative. Individual-method evidence

is thin; the value is the diverse-selection-plus-rotation pattern, not

any single method. For the structured analogical form, use

Skill(tome:triz). For finding an implied-but-empty cell in a

concept space, map the field and its hidden optimization axis first,

then apply generation methods to fill the gap.

Workflow

  • Pick how many approaches you want (3 to 5 is the useful range).
  • Select methods spanning distinct categories:

select_methods(n) from tome.channels.ideation returns methods

from different categories by construction.

  • Apply each method's reasoning prompt to the problem. Generate ideas

freely; do not normalize them into a schema yet.

  • On a second pass, rotate: select_methods(n, exclude=used_ids) or

rotation_plan(passes, n_per_pass) so no method repeats until the

catalog is exhausted.

  • Score the candidates with score_idea (weighted criteria per

Skill(leyline:evaluation-framework)). Novelty claimed without

evidence is capped, so "novel" must be earned, not asserted.

  • Report the final set with rationale and scores.

Scoring

score_idea(scores, novelty_evidence=False) applies weighted criteria

(novelty 0.25, fit 0.20, feasibility 0.20, simplicity 0.15,

reversibility 0.10, impact 0.10) and an anti-inflation rule: a novelty

score of 8 or higher without supporting evidence is capped to 7. Pass

novelty_evidence=True only when you have checked for prior art and

found the idea genuinely new.

Anti-goals

  • Do not generate many ideas from one method and call it diverse.
  • Do not impose a rigid output schema during generation; it collapses

diversity.

  • Do not present anecdotal-evidence methods as proven; cite the grade.
  • Do not import the full 20-method bundle; the catalog is curated on

purpose.

Sources

The diversity rationale and method evidence grades draw on:

  • Verbalized Sampling (arXiv 2510.01171): distributional prompting for

1.6 to 2.1x diversity gains, training-free.

  • The Price of Format (arXiv 2505.18949): rigid output schemas collapse

generation diversity. This is the basis for the

reasoning-prompt-not-schema rule above.

  • Barriers to Diversity in LLM-Generated Ideas (arXiv 2602.20408):

chain-of-thought reduces fixation; diverse personas restore collective

diversity.

  • The originality and SCAMPER / morphological-analysis education

literature underpins the per-method evidence grades.

  • Innovation Paradox (Shi et al., Design Science 2024): patent

analysis of 4M+ concepts found originality declined 31% from

1981-2016 as concept space expanded. Cognitive burden drives

clustering near familiar terrain rather than the edge.

Exit Criteria

  • [ ] At least 3 candidate approaches were generated, each from a

method in a distinct category (verifiable: the methods used span

>= 3 categories from list_categories()).

  • [ ] A second pass, if run, used exclude or rotation_plan so no

method repeated before the catalog was exhausted.

  • [ ] Each candidate carries a weighted score from score_idea, with

any uncapped novelty backed by an explicit prior-art check.

  • [ ] The final report structures the output; generation did not.

How to use it

Copy the folder

Take athola/ideate from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.