summarize

What This Skill Does

The summarize skill is a high-performance command-line utility integrated into the OpenClaw ecosystem designed to distill vast amounts of information from diverse sources into concise, digestible formats. Whether you are dealing with live web pages, local documents (PDFs, images, audio), or streaming video content like YouTube, this tool acts as an intelligent abstraction layer. By leveraging state-of-the-art Large Language Models (LLMs) such as those from OpenAI, Anthropic, xAI, and Google, it parses source content and generates accurate summaries based on your specific length and format requirements. It is built to minimize information overload by providing a streamlined interface for extraction and synthesis.

Installation

To integrate this utility into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/anbring/summary

Ensure you have configured your environment variables for your preferred AI provider (e.g., OPENAI_API_KEY or GEMINI_API_KEY) to enable the LLM backend. Optionally, you can create a configuration file at ~/.summarize/config.json to set a global default model, such as {"model": "openai/gpt-5.2"}.

Use Cases

• Research Synthesis: Quickly extract key takeaways from lengthy technical PDFs or research papers without manual scanning.
• Media Consumption: Process YouTube video transcripts to capture main points from lectures or tutorials without watching the full runtime.
• Content Curation: Use the --json flag to pipeline web page summaries directly into other data processing scripts for automated reporting.
• Data Extraction: Utilize the --extract-only flag on complex URLs to retrieve clean text content for archival or offline reading.

Example Prompts

1. "Summarize the following PDF document at /reports/annual_2023.pdf and give me a long-form breakdown of the financial projections."
2. "Watch this YouTube video at https://youtu.be/dQw4w9WgXcQ and summarize the core argument in a short, punchy paragraph."
3. "Please summarize the article at https://example.com/tech-trend-analysis using the model openai/gpt-4o and output the result in JSON format."

Tips & Limitations

• Pro Tip: Use the --length flag with specific character counts (e.g., --length 500) if you need to strictly adhere to platform limits for social media posting or chat notifications.
• Firecrawl Integration: If you encounter "Access Denied" or anti-bot screens on web pages, ensure your FIRECRAWL_API_KEY is set to enable robust fallback crawling.
• YouTube Fallback: If you frequently process video, setting the APIFY_API_TOKEN is recommended to ensure reliable transcript extraction when standard parsers fail.
• Limitations: The tool relies heavily on the capabilities of the selected LLM; very long documents may need to be processed in segments if they exceed the context window of the chosen model.