An AI agent skill that scans multiple local Git repositories and wikis to generate unified, system-wide technical documentation and architecture maps.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install document-multiple-repository
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 document-multiple-repository 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 Multi-Repository Documentation Agent?
The document-multiple-repository skill is designed for complex software environments where code, infrastructure manifests, and documentation are distributed across various repositories. By utilizing Openclaw Skills, developers can automate the discovery of local Git projects, identify logical system boundaries, and synthesize fragmented information into a single, cohesive documentation suite. It bridges the gap between disparate codebases and their associated wikis, ensuring that the system architecture and business rules remain synchronized.
This skill is particularly valuable for architects and lead developers who need to maintain a 'bird's eye view' of a microservices ecosystem or a multi-tiered application. It intelligently detects frameworks like Spring, Django, and Node.js to provide context-aware insights without ever modifying the original source code, making it a safe and efficient choice for documentation audits.
Multi-Repository Documentation Agent Use Cases
- Creating a consolidated ARCHITECTURE.md for microservices architectures.
- Mapping relationships between frontend, backend, and infrastructure repositories.
- Extracting business processes (DoR/DoD) from git-based wikis into technical guides.
- Generating standardized READMEs and API documentation across an entire local workspace.
- Onboarding new developers by providing a logical REPOSITORY_MAP.md of the system.
How Multi-Repository Documentation Agent Works
- The agent scans a specified root path to identify all .git repositories and .wiki folders.
- It groups repositories into logical systems based on their directory proximity and naming patterns.
- For each repository, it analyzes the stack (Java, Python, JS) and service type (Frontend, Backend, etc.).
- It extracts critical metadata including API routes, build manifests, and existing documentation.
- The skill synthesizes this data into a structured output folder containing both system-level and repository-level Markdown files.
Multi-Repository Documentation Agent Setup
To utilize this skill, ensure your AI agent has read access to your local project directories. Use the following command structure to trigger the process:
# Standard execution within an AI agent environment
Run skill document-multiple-repository on /path/to/source/projects
You can optionally configure a custom output directory and templates path to match your organization's documentation standards.
Multi-Repository Documentation Agent Data Schema & Taxonomy
The skill organizes its output into a hierarchical structure for easy navigation:
| Level | File | Description |
|---|---|---|
| System | SYSTEM_OVERVIEW.md | High-level business and technical summary |
| System | REPOSITORY_MAP.md | Index of all repositories and their roles |
| System | DEPLOYMENT.md | Merged manifest and infra setup guides |
| Repo | README.generated.md | Individual project technical summary |
| Repo | API.generated.md | Extracted API endpoints and interface definitions |
Multi-Repository Documentation Agent Advanced Features
- Intelligent clustering of related repositories into single logical systems.
- Automated detection and extraction of wiki-based guidelines and tutorials.
- Support for multiple languages including Java, Python, and JavaScript.
- Framework-specific analysis for Spring, Django, and Node.js environments.
- Zero-footprint operation: generates documentation without altering source files.
SKILL.md
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