A high-performance, pure-bash document analysis toolkit for extracting summaries, outlines, and metrics without external dependencies.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install doc-summarize-pro
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 doc-summarize-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Doc Summarize Pro is a sophisticated document analysis engine designed to streamline how developers and researchers interact with large volumes of text. Built as a lightweight yet powerful utility within the Openclaw Skills ecosystem, it leverages intelligent sentence extraction and frequency analysis to provide instant insights into Markdown, text, and log files.
By utilizing native shell capabilities, this skill ensures maximum privacy and speed, making it an essential tool for those who need to process sensitive information locally. Whether you are generating executive summaries or performing multi-document comparisons, it offers a robust framework for textual intelligence.
To integrate this into your environment as part of your Openclaw Skills collection, follow these steps:
# Clone the repository or download the script
git clone https://github.com/bytesagain/ai-skills
# Navigate to the directory
cd ai-skills
# Initialize the configuration
bash scripts/script.sh config
# Optional: Set your preferred summary density
bash scripts/script.sh config summary_sentences 3
Doc Summarize Pro maintains a minimalist and efficient data footprint located in the home directory.
| File | Purpose | Format |
|---|---|---|
config |
Stores user-defined parameters for summary length and keyword limits | Key-Value Pairs |
history.log |
Records a persistent audit trail of all processing actions | Timestamped Text |
output |
Generated when using the export command | JSON, MD, or TXT |
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