scientific-critical-thinking
A systematic framework for evaluating scientific claims and research quality. It provides structured checklists for methodology critique, bias identification, logical fallacy detection, and evidence grading using established frameworks like GRADE and Cochrane. The skill helps users assess experimental design validity and identify flaws in scientific reasoning.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-scientific-critical-thinking
Repository
Skill path: scientific-skills/scientific-critical-thinking
A systematic framework for evaluating scientific claims and research quality. It provides structured checklists for methodology critique, bias identification, logical fallacy detection, and evidence grading using established frameworks like GRADE and Cochrane. The skill helps users assess experimental design validity and identify flaws in scientific reasoning.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack, Data / AI, Designer.
Target audience: Research teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install scientific-critical-thinking into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding scientific-critical-thinking to shared team environments
- Use scientific-critical-thinking for research workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.