원클릭으로 Manus에서 모든 스킬 실행

summarize-document

스타2,143

포크195

업데이트2026년 6월 25일 17:19

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.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

superlinked

superlinked/sie

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

Summarize a Document with Superlinked MCP

Use the connected Superlinked MCP server to summarize the source on the SIE cluster. This mirrors the summarize-document flow from the sie_tools plugin in PR #1336, but uses the MCP summarize_document tool instead of the gateway-backed ~/.sie/bin/sie wrapper.

Steps

Do not open, view, attach, or read the whole source document into context.
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.
Write the returned summary to processed/<source-stem>.summary.md. Create processed/ if it does not exist.
Your next message must begin with a short receipt:
```
Summarized <source> -> processed/<source-stem>.summary.md (<summary_chars> chars)
```
If metadata includes token_savings_estimate, include it as an estimate.
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.

이 저장소의 다른 Skills

같은 저장소

extract-entities

superlinked/sie

Extract people, organizations, dates, amounts, or custom labels from a document through the connected Superlinked MCP edge, returning a compact table instead of reading the full document into context. Use when the user asks to list, extract, or tabulate entities from a file.

2026-06-252.1k

parse-document

superlinked/sie

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.

2026-06-252.1k

redact-pii

superlinked/sie

Redact personal data from a document through the connected Superlinked MCP edge before working with the content. Use when the user asks to redact, anonymize, scrub, de-identify, or remove PII/sensitive data from a document.

2026-06-252.1k

superlinked-docs

superlinked/sie

Offload document, image, and structured-output work to the Superlinked inference cluster: convert PDF/DOCX/PPTX/XLSX/HTML/scans to clean markdown, describe an image (caption + tags), or produce schema/grammar-constrained JSON off the cluster — instead of ingesting the file directly, which can reduce the tokens billed in many cases for document- and image-heavy work. Use whenever the user drops or references a document or image file to read, summarize, extract from, describe, or answer questions over, or when they need reliable structured (schema-valid) output.

2026-06-252.1k

name	summarize-document
description	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.

Summarize a Document with Superlinked MCP

Steps

Do not open, view, attach, or read the whole source document into context.
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.
Write the returned summary to processed/<source-stem>.summary.md. Create processed/ if it does not exist.
Your next message must begin with a short receipt:
```
Summarized <source> -> processed/<source-stem>.summary.md (<summary_chars> chars)
```
If metadata includes token_savings_estimate, include it as an estimate.
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.