summarize

What This Skill Does

The summarize skill is a powerful, versatile command-line utility designed to distill vast amounts of information into actionable insights. Whether you are dealing with complex academic PDFs, lengthy YouTube videos, high-resolution images, or dense web articles, this agent streamlines the content consumption process. It leverages state-of-the-art AI models to parse input, perform intelligent extraction, and generate concise summaries, allowing users to bypass hours of reading or watching.

Installation

To integrate this tool into your OpenClaw environment, use the installation command provided via the ClawHub repository:

clawhub install openclaw/skills/skills/bestrong1608-eng/summarize-backup

Ensure you have your preferred provider's API keys (OpenAI, Anthropic, xAI, or Google) configured in your environment variables to enable the AI engine. You may also optionally configure a local ~/.summarize/config.json file to set a permanent default model, preventing the need to specify one for every execution.

Use Cases

This skill is indispensable for professionals and researchers. Use it to quickly extract key takeaways from long-form technical documentation, gain context from video tutorials without watching the entire duration, or batch-process research materials across multiple file formats. It is perfect for developers staying updated on framework releases, students summarizing literature, and analysts gathering data from web reports.

Example Prompts

1. "Summarize this article: https://example.com/long-read and give me a detailed long-form breakdown using the gpt-4o model."
2. "Please summarize the PDF located at /documents/annual_report_2023.pdf, focus on the financial highlights and output the result as a machine-readable JSON object."
3. "Watch this YouTube video: https://youtu.be/dQw4w9WgXcQ and summarize it into a short bulleted list of 5 key points."

Tips & Limitations

To get the best results, use the --length flag to control the density of the output; setting it to 'xl' or 'xxl' is recommended for deep dives, while 'short' is best for quick scanning. If you encounter blocked websites, ensure your FIRECRAWL_API_KEY is set to allow the agent to bypass standard fetch limitations. Note that the quality of the summary is heavily dependent on the chosen model and the clarity of the source material. Be cautious when processing extremely large files, as token limits and cost-per-request can increase with model complexity.