An automated quality control skill for academic manuscripts that ensures flawless mathematical formulas, tables, figures, and DOCX/PDF rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install manuscript-math-docx-qc
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install manuscript-math-docx-qc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Manuscript Math, DOCX, and Visual QC Playbook?
The manuscript-math-docx-qc skill is a highly specialized playbook designed to solve one of the most frustrating aspects of academic publishing: formatting degradation during file conversion. When scientific manuscripts move from markdown or LaTeX sources to DOCX and PDF formats, mathematical formulas, subscripted variables, and complex figures often break or render incorrectly. This playbook bridges the gap between raw research source files and polished, publication-ready submission packages.
By leveraging this blueprint within your agent ecosystem, you can automate visual quality control. This ensures that variables, equations, tables, and images remain perfectly synchronized and visually flawless in the final artifacts that editors and reviewers inspect. It is one of the most powerful Openclaw Skills for researchers, technical writers, and document developers looking to de-risk their journal submissions.
Manuscript Math, DOCX, and Visual QC Playbook Use Cases
- Converting Markdown to Word (DOCX): Automatically formatting variables and equations to prevent Pandoc or LibreOffice rendering glitches.
- Validating PDF Layouts: Running headless LibreOffice checks to verify page dimensions, page count, and visual integrity.
- Figure and Table Syncing: Rebuilding and synchronizing multi-panel figures and data tables to ensure no clipping or text overlap occurs in the final PDF.
- Academic Journal Submissions: Assembling, verifying, and packaging final zip archives for submission portals to avoid stale file issues.
- Automated Document QA: Instantly rendering pages to PNG contact sheets for rapid visual inspection of layout errors.
How Manuscript Math, DOCX, and Visual QC Playbook Works
- Source Identification: The agent scans the workspace to identify the authoritative raw manuscript source files (Markdown, LaTeX) and figure generation scripts.
- Math Syntax Analysis: The system parses mathematical expressions for high-risk patterns (like raw subscripted variables in code spans or spaced fonts in PDF rendering) and converts them into Word-safe LaTeX.
- Asset Regeneration: Source scripts run to regenerate the exact images, figures, and tables embedded in the document.
- Multi-Format Export & ZIP Validation: The skill runs Pandoc to generate the DOCX, uses headless LibreOffice to export to PDF, and tests ZIP archive integrity.
- Visual Quality Control: It converts the generated PDF pages into PNGs to programmatically or visually verify bounds, overlapping labels, and margins.
- Deployment Synchronization: Corrected DOCX, PDF, and figure files are synced to the final upload directory and compiled into a validated ZIP package.
Manuscript Math, DOCX, and Visual QC Playbook Setup
Ensure your environment has the required conversion and rendering tools installed:
# Install CLI dependencies (Pandoc, LibreOffice, and Poppler utilities)
sudo apt-get update && sudo apt-get install -y pandoc libreoffice poppler-utils ripgrep unzip zip
Once the CLI tools are available, integrate this skill into your agent. For agents using Openclaw Skills, place this file under your workspace's skill directory (e.g., skills/manuscript-math-docx-qc.md). The agent will parse this checklist to govern its document compilation and visual inspection tasks automatically.
Manuscript Math, DOCX, and Visual QC Playbook Data Schema & Taxonomy
The skill structures outputs and intermediate artifacts within a defined project directory to separate source files from validation outputs:
| Path | Description |
|---|---|
manuscript/manuscript.md |
The authoritative source manuscript file |
build/manuscript.docx |
Rebuilt Microsoft Word document |
build/pdf_check/ |
Output folder for PDF conversion checks |
build/pdf_check/manuscript.pdf |
Generated PDF for layout inspection |
build/pdf_check/pages/ |
Extracted PNG pages (e.g., page-1.png) for visual QA |
upload_package_dir/ |
Staging area for the final submission assets |
upload_package_qc.zip |
Final, validated submission package zip archive |
Manuscript Math, DOCX, and Visual QC Playbook Advanced Features
- Automated PNG Contact Sheets: Converts PDF pages to high-resolution PNGs to check for overlapping figure labels and clipped margins programmatically or visually.
- Post-Processing DOCX XML: Advanced capabilities to inject custom table properties directly into the DOCX XML to enforce top-alignment and narrow boundaries for wide tables.
- Strict Terminology Separations: Automatically enforces a distinction between literal software outputs (code blocks) and mathematical quantities (LaTeX math mode).
- Multi-Agent Playbook Compatibility: Agnostic architecture allowing deployment across OpenClaw, Hermes, Claude, and Codex environments without tight binding to a specific runtime.
SKILL.md
Loading
Related Openclaw Skills
Bioinformatics Plot Generator
An intelligent router skill that delegates bioinformatic data visualization requests to highly customizable, publication-ready sub-skills including volcano, heatmap, violin, and scatter plots.
editor-story-architect
An AI-driven narrative blueprint agent that validates story premises and architects emotional arcs and narrative tension curves for screenplay development.
editor-dialogue-craft
An advanced script refinement and dialogue polishing skill that replaces hardcoded rules with a robust strategic audit, dynamic subtext engineering, and target-audience title optimization.
Editor Adversarial Reviewer
An adversarial script auditing skill that acts as a nitpicky HBO/Netflix-style reviewer to expose narrative flaws, cliché tropes, and weak character motivations before production.
FineBI Skill Router
The FineBI Skill Router acts as an intelligent entry point for business intelligence tasks, dynamically directing user intents to specialized reporting, alerting, and data synchronization sub-skills.
Test Coverage Report
Analyze test coverage gaps by comparing test files against source modules to identify untested code paths and critical functions.
Featured*
