A professional suite for auditing, generating, and synchronizing high-quality technical documentation for any software project.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docs-improver
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 docs-improver 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 Docs Improver?
Docs Improver is a specialized technical documentation expert designed to streamline the lifecycle of project manuals, API references, and architectural guides. By leveraging the Openclaw Skills ecosystem, it evaluates documentation quality across five key dimensions—completeness, clarity, structure, maintainability, and accuracy—to ensure your project remains professional and accessible.
This skill acts as a bridge between your source code and your documentation, identifying discrepancies and automatically generating missing files like READMEs, API schemas, and architecture diagrams. It is a must-have for developers looking to reduce documentation debt and improve developer experience (DX) through standardized templates and automated audits.
Docs Improver Use Cases
- Audit documentation quality when taking over a new project or preparing for a major software release.
- Automatically generate missing essential documents like README.md, API.md, and CONTRIBUTING.md for new repositories.
- Perform pre-release consistency checks to ensure documentation matches the actual code implementation and API endpoints.
- Rapidly establish professional documentation structures for new open-source projects using standardized templates.
- Conduct regular technical debt sprints to overhaul outdated, fragmented, or confusing documentation.
How Docs Improver Works
- The user points the tool to a local project directory via the command line interface.
- The script analyzes existing markdown files and compares them against the codebase to verify technical accuracy.
- A detailed quality report is generated, providing a score out of 100 based on weighted metrics like completeness and maintainability.
- The tool identifies missing documentation types and generates them using built-in professional templates.
- It provides a prioritized roadmap of improvements, categorized by quick wins, short-term tasks, and long-term architectural updates.
Docs Improver Setup
To begin using this skill within your Openclaw Skills workflow, ensure you have Python 3 installed and follow these CLI steps:
# Full workflow: Analysis + Generation + Check + Improve
python3 scripts/docs-improver.py --path /path/to/project --mode all --report report.md
# Run a specific quality assessment
python3 scripts/analyze.py --path /path/to/project --output quality.md
# Check consistency between code and docs
python3 scripts/consistency-check.py --path /path/to/project --output issues.md
Docs Improver Data Schema & Taxonomy
Docs Improver organizes its analysis into structured reports and uses a weighted scoring system to evaluate documentation health:
| Metric | Weight | Description |
|---|---|---|
| Completeness | 30% | Coverage of key technical content |
| Clarity | 25% | Readability and ease of understanding |
| Structure | 20% | Organizational clarity and hierarchy |
| Maintainability | 15% | Ease of future documentation updates |
| Accuracy | 10% | Alignment with current source code |
It manages a library of 6+ professional templates (README, API, Architecture, ADR) and 10+ Mermaid diagram templates for visual documentation.
Docs Improver Advanced Features
- Multi-mode operation allowing for isolated analysis, generation, or consistency checking.
- Automated Mermaid diagram generation for system architecture, microservices, and sequence flows.
- Link validation and external reference checking to prevent documentation rot.
- Integration with AI assistants to implement suggested improvements and implementation plans automatically.
- Prioritized recommendation engine that distinguishes between immediate 'Quick Wins' and long-term systematic improvements.
SKILL.md
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