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Content Summarizer

by @kryzl19

Fetch any URL and produce a structured content summary with extractive summarization, AI enhancement prompts, and structured output templates. Extracts clean...

Versionv1.0.0
Downloads1,632
Installs3
Stars⭐ 1
TERMINAL
clawhub install strd-content-summarizer

πŸ“– About This Skill


name: content-summarizer description: Fetch any URL and produce a structured content summary with extractive summarization, AI enhancement prompts, and structured output templates. Extracts clean text from HTML, identifies key sentences, generates metadata, and provides ready-to-use prompts for AI summarization. Perfect for content repurposing, research pipelines, and newsletter workflows. metadata: { "openclaw": { "requires": { "bins": ["curl", "python3"] }, "install": [], }, }

Content Summarizer

Transform any URL or raw text into structured, actionable content summaries using extractive summarization + AI enhancement prompts.

What This Skill Does

1. Fetches any URL and extracts clean text (removes HTML, nav, scripts, ads) 2. Extracts key sentences algorithmically (extractive summarization β€” no API needed) 3. Generates metadata (title, word count, reading time) 4. Outputs a structured markdown template + AI enhancement prompt ready for any LLM

The AI enhancement prompt makes the extracted content easy to summarize with MiniMax, GPT-4o, or Claude.

Quick Start

# Summarize a URL (outputs to terminal + /tmp/summaries/)
./scripts/url-to-summary.sh https://example.com/article

Summarize text directly (from argument or pipe)

./scripts/summarize.sh "Your article text here..." cat article.txt | ./scripts/summarize.sh

Custom model for AI prompt

./scripts/url-to-summary.sh https://example.com --model openai

Scripts

url-to-summary.sh β€” Full Summary from URL

./scripts/url-to-summary.sh  [--model minimax|openai|anthropic]

Fetches URL, extracts clean text, produces:

  • Extracted key sentences (extractive summarization)
  • Structured markdown template (summary, tweet hook, key takeaways)
  • AI enhancement prompt β€” copy-paste into any LLM for full summarization
  • Metadata (title, word count, reading time)
  • Output saved to /tmp/summaries/summary-TIMESTAMP.md

    summarize.sh β€” Summarize Text Directly

    ./scripts/summarize.sh "Your text..."
    cat file.txt | ./scripts/summarize.sh
    

    Same output as url-to-summary.sh but for raw text input.

    Output Format

    # Content Summary

    Source: [url] Title: [extracted or unknown] Stats: ~1,200 words | ~6 min read

    Key Sentences (Extractive Summary)

    [Top 15-20 most meaningful sentences from the text]

    Structured Summary Template

    [TODO fields for: what, why, key points]

    Tweet Hook

    [TODO: Compelling one-liner]

    Key Takeaways

    1. [TODO] 2. [TODO] 3. [TODO]

    AI Enhancement Prompt

    [Ready-to-use prompt with extracted text embedded]

    Environment Variables

    | Variable | Default | Description | |----------|---------|-------------| | OUTPUT_DIR | /tmp/summaries | Where to save summary files | | MODEL | minimax | AI model for enhancement prompt |

    Use Cases

  • Content repurposing: Fetch articles, extract key points, feed into content pipeline
  • Research pipeline: Batch summarize 20 URLs, collect key points, synthesize insights
  • Newsletter workflow: Fetch sources, generate structured summaries, assemble newsletter
  • Quick reading: Extract key sentences from long articles for rapid triage
  • Notes

  • Uses extractive summarization (algorithmically selects important sentences) β€” no API key needed
  • AI enhancement prompt is the value-add: paste into MiniMax/GPT/Claude for full abstractive summary
  • HTML extraction removes scripts, styles, nav, footer, ads β€” focuses on article body
  • Limited to 15,000 characters of extracted text to keep context manageable
  • Output Format

    ## Summary

    [2-3 paragraph summary of the content]

    Tweet Hook

    > [One compelling, shareable sentence that captures the essence]

    Key Takeaways

    1. [First key point] 2. [Second key point] 3. [Third key point]


    *Source: [URL] | ~X min read | ~Y words*

    Environment Variables

    | Variable | Required | Default | Description | |----------|----------|---------|-------------| | SUMMARIZER_MODEL | No | auto | LLM model for summarization (or let the agent auto-select) | | MAX_TOKENS | No | 500 | Max tokens in summary output |

    Usage Examples

    # Summarize a blog post
    ./scripts/url-to-summary.sh https://yourcompetitor.com/blog/industry-trends

    Process a research paper

    ./scripts/summarize.sh "$(curl -sL https://arxiv.org/pdf/2301.00001.pdf | head -c 10000)"

    Quick key points for a meeting

    ./scripts/key-points.sh https://news.ycombinator.com/item?id=12345678

    Use with OpenClaw: feed the output directly into your workflow

    SUMMARY=$(./scripts/url-to-summary.sh https://example.com/article) echo "$SUMMARY" | ./scripts/key-points.sh

    Tips

  • For better results, provide clean article URLs (avoid paywalls and heavy JS pages)
  • Use MAX_TOKENS=1000 for longer, more detailed summaries
  • Chain with other skills: competitor-tracker alerts β†’ content-summarizer β†’ social posting
  • The tweet hook is designed to be engaging, not just a truncated sentence
  • Key points should be actionable insights, not just topic labels
  • Dependencies

  • curl β€” for fetching URLs
  • OpenClaw agent with web_fetch tool for content extraction (used internally by the agent)
  • ⚑ When to Use

    TriggerAction
    - **Research pipeline**: Batch summarize 20 URLs, collect key points, synthesize insights
    - **Newsletter workflow**: Fetch sources, generate structured summaries, assemble newsletter
    - **Quick reading**: Extract key sentences from long articles for rapid triage

    πŸ’‘ Examples

    # Summarize a URL (outputs to terminal + /tmp/summaries/)
    ./scripts/url-to-summary.sh https://example.com/article

    Summarize text directly (from argument or pipe)

    ./scripts/summarize.sh "Your article text here..." cat article.txt | ./scripts/summarize.sh

    Custom model for AI prompt

    ./scripts/url-to-summary.sh https://example.com --model openai

    πŸ“‹ Tips & Best Practices

  • For better results, provide clean article URLs (avoid paywalls and heavy JS pages)
  • Use MAX_TOKENS=1000 for longer, more detailed summaries
  • Chain with other skills: competitor-tracker alerts β†’ content-summarizer β†’ social posting
  • The tweet hook is designed to be engaging, not just a truncated sentence
  • Key points should be actionable insights, not just topic labels