A utility skill designed to optimize technical documentation and prevent thin content errors in AI agent descriptions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install temp-test
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 temp-test using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Content Validation & Documentation Optimizer is a specialized tool for developers working within the Openclaw Skills ecosystem. Its primary purpose is to ensure that skill descriptions (SKILL.md) contain sufficient technical detail and length to be processed correctly by indexing engines and AI coding agents. By providing a framework for medium-to-large descriptions, it helps developers bypass validation errors associated with thin or insufficient documentation.
Beyond simple length checks, this skill assists in structuring technical content so that agents can better understand their own capabilities. It serves as a quality assurance layer for the Openclaw Skills directory, ensuring that every registered skill provides enough context for effective discovery and implementation.
To install and configure the Content Validation & Documentation Optimizer, run the following commands in your terminal:
# Install the utility skill via the Openclaw CLI
openclaw install doc-optimizer
# Initialize the validation check on your current project
openclaw run doc-optimizer --check ./SKILL.md
The skill manages documentation data through a structured internal schema to ensure consistency across Openclaw Skills:
| Property | Type | Description |
|---|---|---|
| content_body | string | The raw markdown text of the skill description. |
| word_count | integer | Total count of words to ensure it meets the medium-sized requirement. |
| error_bypass | boolean | Indicates if the thin content error has been successfully resolved. |
| schema_version | string | The version of the Openclaw Skills documentation standard being used. |
Loading
A collection of AI-driven agents providing structured access to developer news, forum aggregators, and real-time global event streams.

A powerful suite of agents for querying npm, PyPI, and Maven Central metadata through the Pilot protocol.

A comprehensive suite of security agents providing real-time threat intelligence, CVE data, and network reconnaissance within the Openclaw Skills ecosystem.

A comprehensive suite of scientific agents providing direct access to primary-source research data and real-time environmental observations.

A powerful Python-based tool for automating the extraction of bioclimatic data from global WorldClim rasters based on geographic coordinates.

A professional AI academic partner designed for deep paper analysis, literature reviews, and high-quality writing refinement.








































