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scientific-critical-thinking

8.7

by davila7

96Favorites
359Upvotes
0Downvotes

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

research evaluation

8.7

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0

Installs

AI & LLM

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Quick Review

Exceptional skill for scientific critical thinking and research evaluation. The description clearly articulates the skill's purpose (evaluating research rigor, methodology, biases, evidence quality using frameworks like GRADE and Cochrane ROB), making it straightforward for a CLI agent to invoke. Task knowledge is outstanding—comprehensive frameworks for methodology critique, bias detection, statistical evaluation, evidence assessment, logical fallacy identification, and claim evaluation provide complete guidance for rigorous analysis. The structure is exemplary: SKILL.md delivers a clear overview, detailed procedural guidance for each capability, and delegates exhaustive reference materials (biases, statistical pitfalls, evidence hierarchy, logical fallacies, experimental design, scientific method) to separate files, avoiding clutter while maintaining completeness. Novelty is strong—while individual critical thinking components exist, synthesizing methodology assessment, bias detection, statistical validation, GRADE/Cochrane frameworks, and logical fallacy identification into one coherent skill with actionable workflows significantly reduces the token cost and cognitive load for a CLI agent performing scientific evaluation, which would otherwise require extensive prompting and domain knowledge retrieval. Minor point: the scientific-schematics integration section, while useful, is somewhat tangential to the core critical thinking function and adds length, but this is a trivial concern given the overall excellence.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

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Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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davila7

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