What is the difference between findings and synthesis in this skill?

To maintain scientific rigor, 'Findings' are restricted to factual observations and measurements, while 'Synthesis' is reserved for AI-guided interpretation and connecting those facts to the research hypothesis.

Can I customize the report structure?

While it follows a standardized scientific structure for consistency, you can use the /research-refine command to tailor sections and focus on specific research objectives.

How does the skill ensure data integrity in reports?

The skill utilizes a mandatory pre-generation checklist that verifies notebook completeness, figure paths, and statistical evidence before synthesizing any data into the final report.

Does it support Jupyter notebooks?

Yes, the skill can extract content from both Jupyter (.ipynb) and Markdown (.md) lab notebooks to create an integrated analysis.

Can I export reports to PDF format?

Yes, the skill includes a shell script that leverages Pandoc and Typst to convert Markdown reports into professionally formatted PDF documents.

Scientific Experiment Reporter

Name: Scientific Experiment Reporter
Author: dakesan

bydakesan

0•

Data Science & ML

Generates and refines structured scientific reports from bioinformatics lab notebooks with integrated figure support and professional PDF export.

The Experiment Report skill automates the synthesis of multiple experimental notebooks into cohesive, publication-ready reports. Designed specifically for bioinformatics workflows, it handles the mechanical extraction of results from Jupyter and Markdown notebooks while enforcing scientific rigor by separating factual observations from analytical interpretations. The skill provides AI-guided refinement for clarity, manages figure integration with proper referencing, and includes a specialized export pipeline using Pandoc and Typst to produce professional-grade PDF documentation.

Key Features

01Automated synthesis of integrated reports from multiple lab notebooks

02Professional PDF export capabilities using Pandoc and Typst templates

03AI-guided refinement focusing on scientific rigor, logical flow, and clarity

04Structured figure management with automated path verification and captions

050 GitHub stars

06Fact-interpretation separation mapping to ensure evidence-based reporting

Use Cases

01Consolidating multiple sequencing experiment logs into a cohesive milestone report

02Converting Markdown-based bioinformatics workflows into formatted PDF reports for archiving

03Polishing draft research summaries for scientific accuracy before stakeholder review

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dakesan/bioinformatics-research-plugins experiment-report

For use in Claude.ai and ChatGPT

Download Skill