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creative-thinking-for-research

Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.

67

Quality

81%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A thorough, well-structured instruction skill with concrete workflows, tables, and validation checklists across all eight frameworks, plus a clear combined protocol and agent-usage guide. Its only real weakness is conciseness — the conceptual framing and citations add length that assumes less of the reader than necessary.

Suggestions

Trim the 'Why it works' historical/citation exposition (Koestler, Gestalt, Dunbar, Rothenberg) to one line each, trusting the model's background knowledge.

Consider moving the per-framework detailed matrices and classic-example lists into a reference file to keep SKILL.md a leaner overview.

DimensionReasoningScore

Conciseness

The body is long and contains conceptual exposition (Koestler's bisociation, Gestalt history, Dunbar's findings, Rothenberg) that elaborates background a capable model largely knows, though it is accurate and not padded with filler.

2 / 3

Actionability

Each framework includes a concrete numbered workflow, a cross-product/strategy matrix, and explicit self-check checklists — the agent-usage section gives step-by-step selection and execution guidance that is directly actionable.

3 / 3

Workflow Clarity

The 4-phase Combining Frameworks protocol is clearly sequenced with timing, and per-framework workflows are numbered; the two-sentence test and self-checks act as explicit validation checkpoints, with no destructive batch operations requiring missing loops.

3 / 3

Progressive Disclosure

Content is a single self-contained overview with no nested references; sections are well-organized and navigable by framework, and no bundle files are needed or referenced.

3 / 3

Total

11

/

12

Passed

Description

77%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that explicitly answers both what the skill does and when to use it, with concrete capability enumeration and clear niche distinctiveness. The main weakness is trigger-term naturalness, leaning on technical jargon rather than how a user would phrase the need.

Suggestions

Add natural trigger phrasing a stuck researcher would actually say (e.g., 'Use when you feel stuck generating ideas', 'when brainstorming feels incremental', 'when you want research ideas beyond incremental benchmark gains').

Trim the long 'by leveraging...' clause tail to keep the description concise and let the trigger terms read more naturally.

DimensionReasoningScore

Specificity

Lists multiple concrete strategies ('combinatorial creativity, analogical reasoning, constraint manipulation') and a concrete action ('CS and AI research ideation'), naming domain and specific cognitive operations.

3 / 3

Completeness

Clearly answers 'what' ('Applies cognitive science frameworks... to CS and AI research ideation') and 'when' ('Use when seeking genuinely novel research directions...'), with an explicit trigger clause.

3 / 3

Trigger Term Quality

Includes relevant terms like 'novel research directions' and 'creative strategies', but relies on technical jargon ('combinatorial creativity', 'analogical reasoning') rather than the natural phrasing a user would say when stuck ideating.

2 / 3

Distinctiveness Conflict Risk

The cognitive-science-meets-research-ideation niche is clearly distinct, and the body's 'Do NOT use' section explicitly separates it from brainstorming and literature-review skills, minimizing conflict.

3 / 3

Total

11

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
Orchestra-Research/AI-Research-SKILLs
Reviewed

Table of Contents

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