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document-summary

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Document summarization and interpretation — long document distillation, multi-level summaries (one-line/paragraph/detailed), key information extraction.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/openyak/openyak/blob/HEAD/backend/app/data/skills/document-summary/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/document-summary/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Document Summarization and Interpretation

When the user provides a document (PDF, article, report, contract, etc.) and asks for a summary or interpretation, follow this workflow:

1. Read and understand

For local files, use read to access them directly. For large or complex files (e.g., parsing Excel, extracting PDF tables), use write + bash to write a Python script for processing.

First pass: Skim

  • Title, table of contents, section headings
  • Charts and tables
  • Abstract/conclusion sections (if present)
  • Build a mental model of the document's structure

Second pass: Deep read

  • Core arguments and key data
  • Topic sentence of each section
  • Author's position and recommendations
  • Technical terms and key concepts

2. Summary levels

Provide different depths based on what the user needs:

One-line summary

  • Capture the document's core message in a single sentence
  • Format: [document topic] + [core finding/conclusion]

Paragraph summary (100-300 words)

  • 3-5 sentences covering:
    • Document topic and purpose
    • Core findings (2-3)
    • Main conclusion or recommendation

Detailed summary (500-1000 words)

  • Organized following the original document's structure
  • Key points from each major section
  • Preserve critical data and citations
  • Include the author's analysis and recommendations

Structured summary

  • Use headings, bullet points, and tables to organize information
  • Best for documents that need to be quickly searchable

3. Key information extraction

Focus on different elements depending on document type:

Research reports / White papers

  • Core findings and data
  • Market size / growth rates
  • Key trends
  • Recommendations and forecasts

News articles

  • 5W1H (Who/What/When/Where/Why/How)
  • Core event and impact
  • Reactions and commentary from stakeholders

Business contracts / Legal documents

  • Parties involved
  • Core terms and obligations
  • Amounts and timelines
  • Special clauses and risk points

Technical documentation

  • Core features/capabilities
  • Prerequisites and limitations
  • Key parameters and metrics
  • Important caveats

Academic papers

  • Research question and hypotheses
  • Methodology
  • Core findings
  • Limitations and future directions

4. Interpretation and analysis

Beyond summarization, the user may want:

  • Simplification: Explain technical content in plain language
  • Critical analysis: Identify logical gaps, data issues, or bias
  • Comparative analysis: Compare with other related documents/viewpoints
  • Practical advice: Suggest actions based on the document's content
  • Q&A: Answer specific questions about the document

5. Output format

  • Use Markdown formatting
  • Bold key data and conclusions
  • Use > blockquote format for direct citations from the original
  • Use tables for large amounts of data
  • Start the summary with document metadata:
    • Document title
    • Author / source
    • Date
    • Page count / word count

6. Quality checklist

  • Does the summary cover the document's core information?
  • Does it accurately reflect the original's stance and viewpoint?
  • Are personal judgments clearly labeled as such?
  • Are key data citations accurate?
  • Does the summary length match the user's request?
  • Could someone understand the document's gist from the summary alone?