writing-labarchive-entries

Generate LabArchive notebook entries with PubMed-verified references.

5|1|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/wolf5996/agentic-skills --skill writing-labarchive-entries
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: writing-labarchive-entries
Source: https://github.com/wolf5996/agentic-skills/tree/main/writing-labarchive-entries
Command: npx skills add https://github.com/wolf5996/agentic-skills --skill writing-labarchive-entries

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LabArchive entries often fail to capture enough methodological detail, citations, and structured context for others to reproduce and evaluate a workflow.

Core Features & Use Cases

  • Verbose, reproducible documentation: Produces structured, complete entries for reference datasets, full analysis pipelines, tool/package evaluations, and educational or literature notes.
  • Template-driven scientific rigor: Enforces required sections, structured tables, and consistent entry headers with fully filled metadata (no placeholders).
  • PubMed-backed biological claims: Integrates PubMed MCP lookups to validate biological and methodological claims and to format accurate numbered references.
  • Consistent writing standards: Requires academic tone, numbered sections, tables for structured data, and reference formatting suitable for readers unfamiliar with the project.

Quick Start

Use the writing-labarchive-entries skill to draft a complete LabArchive entry for your dataset or pipeline in Markdown with PubMed-verified references.

Frequently Asked Questions about writing-labarchive-entries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write reproducible scRNA-seq dataset documentation with verified citations?

To write publication-grade LabArchive notebook entries for scRNA-seq datasets, you must enforce strict YAML frontmatter, fill all entry header fields completely, cover mandated sections by type, and use PubMed MCP integration to verify references.

What is needed for publication-grade scientific writing in a lab notebook?

Publication-grade scientific writing requires template-driven rigor, enforcing mandated sections, structured tables, consistent headers, academic tone, and formatted references suitable for readers unfamiliar with the project to reproduce and evaluate the workflow.

How do I format references and verify biological claims using PubMed MCP?

Verify biological and methodological claims by integrating PubMed MCP lookups to validate references and format accurate numbered citations directly within your LabArchive entries.

Does this approach to dataset documentation work for both analysis pipelines and literature notes?

Dataset documentation applies to four entry types: reference datasets, full analysis pipelines, tool/package evaluations, and educational or literature notes, each with complete mandated section coverage and structured tables.

What are the limitations of using template-driven entries for reproducibility?

Template-driven reproducibility requires strict YAML-frontmatter metadata compliance and full field filling with no placeholders; entries fail to capture enough detail if mandated sections are incomplete or biological claims lack PubMed verification.