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name: Summarizer version: 1.0.0 description: Summarizes large text content into concise summaries category: analysis tools:

• text_analysis
• nlp input_schema: content: type: string description: Text content to summarize style: type: string enum: [bullet-points, paragraphs, executive-summary] default: bullet-points max_length: type: number description: Maximum length in words default: 500 output_format: markdown estimated_tokens: 1000 author: SkillsFlow tags:
• summarization
• analysis
• content-processing

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Summarizer Skill

Purpose

Convert large blocks of text into concise, well-organized summaries while preserving key information.

How It Works

1. Analyze the input text for key themes
2. Identify main points and supporting details
3. Remove redundancy and unnecessary information
4. Organize summary in requested format
5. Return formatted summary

Supported Styles

Bullet Points

Quick overview with key facts as bullets

Paragraphs

Narrative summary in paragraph form

Executive Summary

Professional summary with key takeaways

Example Usage

Input: "Long research paper about climate change..."
Style: executive-summary
Max Length: 300 words
Output: Professional summary of findings

Constraints

• Maximum 30,000 character input
• Output respects max_length parameter
• Preserves factual accuracy
• 15-second timeout

Quality Metrics

✓ Captures 80%+ of original meaning ✓ Reduces length by 60-80% ✓ Well-structured output ✓ No information loss on key points

Use Cases

• Research paper summarization
• Meeting notes compression
• Document review
• Content curation