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Alterlab Hypothesis Gen

Skill Aktiv

Part of the AlterLab Academic Skills suite. Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

Zweck

To enable researchers to systematically develop robust, testable scientific hypotheses from observations and data, grounded in existing literature and designed for rigorous experimental validation.

Funktionen

  • Structured hypothesis formulation from observations
  • Integration with literature search strategies
  • Design of experiments to test hypotheses
  • Generation of testable predictions
  • Mandatory inclusion of AI-generated schematics

Anwendungsfälle

  • When developing hypotheses from experimental observations or preliminary data
  • When designing experiments to test specific scientific questions
  • When exploring competing explanations for phenomena
  • When formulating quantitative predictions for research

Nicht-Ziele

  • Open-ended ideation or brainstorming without structure
  • Automated LLM-driven hypothesis testing on datasets (use Hypogenic skill instead)
  • Generating raw scientific data or performing experiments directly

Trust

  • warning:Issues AttentionThere were 2 issues opened in the last 90 days and 0 closed, indicating slow or no maintainer response to open issues.

Practical Utility

  • info:Usage examplesThe README provides usage examples for the overall suite and implies how individual skills would be invoked, but specific end-to-end examples for this skill are not detailed.

Installation

npx skills add AlterLab-IEU/AlterLab-Academic-Skills

Führt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.

Qualitätspunktzahl

95 /100
Analysiert 1 day ago

Vertrauenssignale

Letzter Commit17 days ago
Sterne15
LizenzMIT
Status
Quellcode ansehen

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