A professional tool that identifies and highlights core conclusions, key data, and technical terms in Markdown or plain text using semantic color-coding.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install md-highlight
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install md-highlight using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Markdown Highlight is a sophisticated utility designed to transform dense documents into easily scannable content. By analyzing the context of your text—whether it is technical documentation, a narrative story, or a scientific guide—it applies specific CSS-based background highlights to emphasize essential information. This Openclaw Skills extension ensures that key takeaways and critical warnings stand out visually without cluttering the original document structure.
The skill is particularly effective for developers and researchers who need to quickly parse large volumes of information. It intelligently handles both existing .md files and raw .txt files, automatically converting the latter into structured Markdown before applying the highlighting logic. This ensures your documentation is not only informative but also visually optimized for rapid consumption.
To use this skill within your environment, ensure you have python3 installed. This tool is part of the Openclaw Skills ecosystem.
# Example of how an agent might invoke the highlighting logic
# Ensure python3 is available in your path
python3 --version
No additional complex configuration is required as the CSS is self-contained within the generated output files.
The skill organizes data by applying a specific CSS schema to the Markdown metadata. It uses a semantic mapping system to ensure consistency across different document types.
| Class | Color | Purpose |
|---|---|---|
| hl-concept | Light Blue (#d1ecf1) | Definitions, terms, names, and core concepts. |
| hl-conclusion | Light Yellow (#fff3cd) | Main ideas, final results, and core conclusions. |
| hl-data | Light Green (#d4edda) | Numbers, percentages, dates, and key metrics. |
| hl-warning | Light Orange (#fff2e6) | Critical alerts, requirements, and safety warnings. |
For files exceeding 500 lines, the skill implements a chunking strategy (200-400 lines per block) to maintain processing efficiency and accuracy.
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