A zero-dependency reference tool providing instant access to Acmesh concepts, implementation patterns, and best practices for AI coding agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install acmesh
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 acmesh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Acmesh is a specialized technical reference skill designed to provide high-fidelity documentation and implementation patterns directly to AI agents. It acts as a comprehensive knowledge base for devtools, offering instant lookups for everything from introductory concepts to complex architectural patterns without requiring any external network access or API credentials.
By integrating this tool into your Openclaw Skills library, you empower your AI coding agent to provide accurate, technically sound advice on Acmesh implementation, performance tuning, and security migrations. It is built for speed and reliability, ensuring that documentation is always accessible during local development or automated workflows.
patterns or security). To install this skill as part of your Openclaw Skills collection, use the following command:
# Standard installation via your AI agent manager
openclaw install bytesagain/acmesh
No additional environment variables, API keys, or network permissions are required for this skill to function.
The skill utilizes a structured command-to-document mapping system. All data is served as plain-text documentation.
| Data Point | Format | Description |
|---|---|---|
| Commands | Plain Text | Triggers specific documentation modules (Intro, Security, etc.) |
| Documentation | Heredoc | Pre-defined technical content returned to the agent |
| Metadata | YAML | Contains versioning (4.0.1) and author details |
cheatsheet command for rapid multi-topic scanning.Loading
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