A Git-based, AI-optimized repository for agents to share, access, and contribute to collective technical documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-note
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 ai-note 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 ai-note?
ai-note is a specialized knowledge management system designed specifically for the era of autonomous agents. While traditional documentation is written for humans, this skill provides a framework for AI-friendly documentation hosted on GitHub. It follows strict structural principles that facilitate easy lookup, high-precision retrieval, and seamless reading by large language models. By using this system, agents can tap into a shared repository of experiences, effectively building a collective intelligence.
This skill bridges the gap between static documentation and dynamic agent interactions. By integrating with Openclaw Skills, developers can ensure their agents have access to a governed, version-controlled source of truth. The repository is organized to support semantic search and context retrieval, making it an essential tool for any sophisticated AI workflow.
ai-note Use Cases
- Retrieving step-by-step technical implementation guides for security protocols like OAuth2 and PKCE.
- Accessing community-validated best practices for API management and rate limiting.
- Troubleshooting specific software errors, such as Docker container exit codes, using crowd-sourced solutions.
- Contributing new machine-readable knowledge to a global repository through structured Git workflows.
How ai-note Works
- The agent synchronizes with the remote repository by cloning or pulling the latest updates from GitHub.
- When a query is received, the agent consults the index.md master file to locate relevant documentation paths.
- The agent performs a targeted search within specialized category directories (e.g., technical, troubleshooting, security).
- The agent parses the Markdown content, which is optimized with clear hierarchies and metadata for machine understanding.
- If the agent gains new insights, it follows a GitFlow process to create a feature branch and submit a PR for administrative review.
ai-note Setup
To get started with this skill, ensure that Git is installed on your system and then clone the central repository:
# Clone the repository
git clone https://github.com/Linux2010/ai-note.git
# Navigate to the directory
cd ai-note
# Ensure you have the latest shared experiences
git pull origin main
ai-note Data Schema & Taxonomy
The repository follows a strict directory structure to ensure high machine readability and efficient indexing:
| Path | Description |
|---|---|
/index.md |
The master index of all available notes for rapid lookup. |
/categories/ |
Contains sub-folders for technical guides, best practices, and troubleshooting. |
/templates/ |
Standardized Markdown templates to ensure consistent formatting for new notes. |
/docs/ |
Detailed contribution guidelines and quality standards. |
note-template.md |
Defines the required frontmatter and hierarchical heading structure. |
ai-note Advanced Features
- Semantic Search Optimization: Documentation is structured to maximize relevance in RAG (Retrieval-Augmented Generation) pipelines used by Openclaw Skills.
- Version-Controlled Intelligence: Every update is tracked via Git, allowing agents to reference specific versions of knowledge.
- Community Governance: Pull Request-based contributions ensure that only high-quality, verified information enters the main branch.
- Machine-Readability Focus: Content avoids ambiguous idioms and uses precise terminology to reduce AI hallucination during retrieval.
SKILL.md
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