Agent skill · Data & Analytics

generate_double_column_pdf_report

Assembles experimental data, figures, methods, and results into a journal-style double-column PDF report. Uses reportlab or PyMuPDF for programmatic generation with title page, embedded figures/tables, section headings, body text flow, and reference placeholders — suitable for internal lab reports, preprint drafts, or journal submission-ready layouts.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 16 KB
Bundled scripts: none
Path: skills/labclaw/generate_double_column_pdf_report/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

# Generate Double-Column PDF Report ## Overview `generate_double_column_pdf_report` consolidates the full output of a LabOS research pipeline — structured data, pre-rendered figures, Methods text, Results summaries, and metadata — into a single, publication-style double-column PDF document. The skill uses reportlab or PyMuPDF to programmatically construct the layout: title block, abstract, IMRAD sections with proper typography, embedded figures and tables with captions, in-text citations as placeholders, and a reference list stub. The result is a self-contained report suitable for internal lab review, preprint submission, or as a draft shell for journal formatting, completing the LabOS "from video to paper" workflow in one export step. ## When to Use This Skill Use this skill when any of the following conditions are present: - **End-to-end pipeline export**: A LabOS workflow (`extract_experiment_data_from_video` → `analyze_lab_video_cell_behavior` → `generate_cell_analysis_charts` → `generate_scientific_method_section`) has finished and the agent must produce a single PDF combining all outputs for human review or archival. - **Internal lab report**: A weekly or monthly lab meeting

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. 1. Layout Engine & Column Management
  5. 2. Title Block & Metadata
  6. 3. Abstract & Structured Sections
  7. 4. Figure & Table Embedding
  8. 5. Reference Placeholder & Citation Formatting
  9. 6. Journal Presets & Styling
  10. 7. Data & Chart Integration
  11. Usage Examples
  12. Example 1 — Full LabOS Pipeline Report Export
  13. Example 2 — Automated Weekly QC Report
  14. Example 3 — Preprint Draft with Reference Placeholders
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About this skill
What does the generate_double_column_pdf_report skill do?

Assembles experimental data, figures, methods, and results into a journal-style double-column PDF report. Uses reportlab or PyMuPDF for programmatic generation with title page, embedded figures/tables, section headings, body text flow, and reference placeholders — suitable for internal lab reports, preprint drafts, or journal submission-ready layouts.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill generate_double_column_pdf_report --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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