superlinked/sie/parse-document

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

Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.

Install

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

SKILL.md

Parse a Document with Superlinked MCP

Use the connected Superlinked MCP server to convert the source file to markdown through the MCP docs_to_markdown tool, then work from the markdown artifact.

Steps

  1. Do not open, view, attach, or read the source document into context. Read its

raw bytes only and base64-encode those bytes.

  1. Call the Superlinked MCP docs_to_markdown tool with:
  • document_base64: the base64-encoded source bytes
  • filename: the original filename
  • engine: auto unless the user explicitly asks to force docling or

vl-ocr

  • ocr: leave false unless forcing the docling OCR path
  1. Write the returned markdown to processed/<source-stem>.md. Create

processed/ if it does not exist.

  1. Your next message must begin with a short receipt, then answer from the

artifact selectively:

``text Parsed <source> -> processed/<source-stem>.md (<chars> chars) ``

If the MCP metadata includes token-saving figures, include those figures directly under the receipt. Keep estimates marked as estimates.

  1. Answer the user's question from the artifact. Grep or read specific sections;

do not read the whole markdown file unless it is small.

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, 95 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.

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