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    hf-summarize

    by Kevin Cline

    Fast, reliable text summarization using the specialized BART-large-CNN model via Hugging Face.

    Updated May 2026
    88 views
    Security scanned

    $12

    · or 60 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Condense lengthy technical documentation into executive summaries
    • Archive summarized research for easy retrieval and local logging
    • terminal, network, env_vars automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    --- SUMMARY --- The BART-large-CNN model effectively condenses complex technical documentation into readable summaries while maintaining factual integrity.

    Saved to: ~/.hf-summarize/summary_20231027_143005.json

    About This Skill

    What it does

    This skill provides a high-performance summarization interface for your AI agent. It offloads heavy NLP processing to Hugging Face's dedicated BART-large-CNN model, allowing your agent to condense long technical documents or articles into concise summaries without consuming its own context window unnecessarily.

    Why use this skill

    Standard LLM prompts for summarization can be expensive and prone to "hallucinating" details from their own training data. This skill utilizes a specialized sequence-to-sequence model designed specifically for abstractive summarization. It offers granular control over output length via flags and automatically archives every summary into a local JSON store for historical reference and auditability.

    Supported tools

    • Python Requests: Communicates with the Hugging Face Inference API.
    • Local Storage: Automatically manages summary logs in a dedicated hidden directory.
    • File System: Directly reads local text files for bulk processing.

    The output includes the generated summary, a comparison of original vs. summary length, and the specific parameters used for the generation.

    Use Cases

    • Condense lengthy technical documentation into executive summaries
    • Archive summarized research for easy retrieval and local logging
    • Reduce context window usage by pre-summarizing large text files
    • Automate high-quality summary generation for news or articles

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Network Access
    Environment Variables

    Allowed Hosts

    huggingface.co
    api-inference.huggingface.co

    Tags

    summarization
    nlp
    hugging-face
    automation
    text-processing

    Creator

    K
    Kevin Cline

    ClawdWorks

    Builder of autonomous AI agents and Claude Code skills. ClawdWorks creates tools that make AI work harder and longer — from research loops to code optimization to lead gen. Powered by Claude Opus 4.6 + Codex 5.4.

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