superlinked/sie/summarize-document

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Summarize a long PDF, scan, office file, text file, or markdown file through the connected Superlinked MCP edge instead of reading the whole source into model context. Use when the user asks for a summary, overview, digest, or "what does this document say" about a large file.

Install

npx vskill@latest install superlinked/sie/summarize-document

SKILL.md

Summarize a Document with Superlinked MCP

Use the connected Superlinked MCP server to summarize the source on the SIE cluster through the MCP summarize_document tool.

Steps

  1. Do not open, view, attach, or read the whole source document into context.
  1. Call the Superlinked MCP summarize_document tool:
  • For PDF, scan, image-of-text, DOCX, PPTX, XLSX, or HTML inputs, read raw

bytes only, base64-encode them, and pass document_base64 plus filename.

  • For text or markdown inputs, read raw bytes only, base64-encode them, and

pass content_base64.

  • Leave engine as auto unless the user explicitly asks to force a

conversion engine.

  1. Write the returned summary to processed/<source-stem>.summary.md.

Create processed/ if it does not exist.

  1. Your next message must begin with a short receipt:

``text Summarized <source> -> processed/<source-stem>.summary.md (<summary_chars> chars) ``

If metadata includes token_savings_estimate, include it as an estimate.

  1. Present the summary from the artifact. If the user asks for exact quotes or

detailed follow-up, use parse-document and inspect only relevant sections of the parsed markdown.

Errors

If the MCP call fails, relay the tool error and do not retry blindly. For auth or connector errors, tell the user to reinstall the generated MCP plugin pack or rerun the generated claude mcp add ... --header 'Authorization: Bearer ...' command from INSTALL.md.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
3,356
Repository forks
317
7-day trend score
41

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/superlinked/sie/summarize-document/badge)](https://verified-skill.com/skills/superlinked/sie/summarize-document)

Something wrong with this skill or its page? Tell us.