A sophisticated AI skill that transforms source code into comprehensive learning resources by injecting tailored educational commentary.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install add-educational-comments
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 add-educational-comments 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 Add Educational Comments?
Add Educational Comments is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between functional code and conceptual understanding. It functions as an automated technical writer and educator, analyzing your codebase to insert meaningful, context-aware comments that explain the "why" behind syntax and architectural decisions.
By adapting its tone and technical depth to the user's specific knowledge level, it ensures that code remains approachable for beginners while providing deep architectural insights for experts. The skill is engineered to respect strict formatting rules, ensuring that the added educational value never compromises the file's build integrity or original encoding.
Add Educational Comments Use Cases
- Onboarding junior developers by explaining complex legacy logic through automated code walkthroughs.
- Creating educational repositories or tutorials where the code itself serves as the primary teaching medium.
- Deepening your own understanding of unfamiliar frameworks or languages during the learning process.
- Documenting internal tools with high-level architectural context for cross-team collaboration.
- Generating study-ready code samples for Computer Science students or coding bootcamps.
How Add Educational Comments Works
- Input Verification: The skill checks for a target file; if missing, it prompts the user to provide one or select from a list of close matches.
- Configuration Synthesis: It combines default settings with user-specified parameters like Comment Detail, Repetitiveness, and User Knowledge level.
- Pedagogical Planning: The AI identifies key code blocks—such as loops, class definitions, or complex algorithms—that offer the highest educational value.
- Comment Injection: It adds comments following the 125% line-count rule, ensuring they match the file's original indentation and encoding style.
- Validation: The skill performs a final check to ensure the code remains executable and that the commenting rules, such as line number referencing, are strictly followed.
Add Educational Comments Setup
To use this feature within the Openclaw Skills framework, ensure your environment is configured and call the skill directly via your AI agent.
/add-educational-comments #file:your_code.py
You can also provide custom parameters to tune the output:
/add-educational-comments #file:app.js Comment Detail = 3, User Knowledge = 1
Add Educational Comments Data Schema & Taxonomy
The skill manages data by modifying existing files while maintaining strict metadata integrity:
| Feature | Specification |
|---|---|
| Encoding | Preserves original (e.g., UTF-8, ASCII) |
| Line Endings | Maintains LF or CRLF consistency |
| Line Limit | Maximum 400 new educational lines |
| Referencing | Optional prefixing with Note <number> for cross-referencing |
| Syntax | Language-aware indentation (Python, YAML, etc.) |
Add Educational Comments Advanced Features
- Knowledge Level Adaptation: Tailors technical depth across a 1-3 scale for beginners to advanced engineers.
- Line Number Referencing: Automatically links related concepts using indexed note numbers.
- State Awareness: Recognizes previously processed files to refine existing comments rather than bloating the file further.
- External Authority Integration: Can fetch and reference authoritative sources like PEPs or official documentation URLs.
- Indentation Nesting: Support for intelligent comment placement inside nested logic blocks.
SKILL.md
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