hf-summarize
by Kevin Cline
Fast, reliable text summarization using the specialized BART-large-CNN model via Hugging Face.
- 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
$12
One-time purchase · Own forever
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
See it in action
--- 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
hf-summarize
by Kevin Cline
Fast, reliable text summarization using the specialized BART-large-CNN model via Hugging Face.
$12
One-time purchase · Own forever
⚡ Also available via Agensi Pro — your AI agent can load this skill on demand via MCP. Learn more →
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
--- 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granular control over output length via flags and automatically archives every summary into a local JSON store for historical reference and auditability.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
How to Install
unzip hf-summarize.zip -d ~/.claude/skills/Reviews
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Permissions
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Creator
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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