Agent skill · Workflow & Productivity

literature_to_hypothesis

Extracts falsifiable scientific hypotheses (if-then form) from multiple PubMed articles, abstracts, or full texts. Synthesizes supporting evidence, contradictions, and experimental validation suggestions into a structured Markdown report for hypothesis-driven research planning.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill literature_to_hypothesis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/labclaw/literature_to_hypothesis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Literature to Hypothesis ## Overview `literature_to_hypothesis` distills the implicit and explicit hypotheses embedded in scientific literature into a structured, actionable format. Given multiple PubMed articles, abstracts, or full-text papers, it identifies testable if-then propositions, catalogs supporting and contradicting evidence across sources, and proposes concrete experimental validation strategies. The output is a Markdown report with hypothesis tables, evidence summaries, contradiction matrices, and validation roadmaps — enabling researchers to move from literature synthesis to hypothesis-driven experiment design in a single step, bridging the gap between "what we know" and "what we should test next." ## When to Use This Skill Use this skill when any of the following conditions are present: - **Literature-driven hypothesis extraction**: A researcher has collected 5–50 papers on a topic and wants to systematically extract the testable hypotheses that emerge from or are implied by the literature. - **Gap analysis and validation planning**: Identify which hypotheses in the literature are well-supported vs. under-tested; generate a prioritized list of experiments to valida

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. 1. Literature Ingestion & Preprocessing
  5. 2. Hypothesis Extraction & Formulation
  6. 3. Evidence Synthesis
  7. 4. Contradiction Analysis
  8. 5. Experimental Validation Suggestions
  9. 6. Structured Markdown Report Output
  10. Usage Examples
  11. Example 1 — PubMed PMID List to Hypothesis Report
  12. Example 2 — Contradiction Synthesis
  13. Example 3 — Full-Text PDFs to Validation Roadmap
  14. Integration Notes
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About this skill
What does the literature_to_hypothesis skill do?

Extracts falsifiable scientific hypotheses (if-then form) from multiple PubMed articles, abstracts, or full texts. Synthesizes supporting evidence, contradictions, and experimental validation suggestions into a structured Markdown report for hypothesis-driven research planning.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill literature_to_hypothesis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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