菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
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.
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.
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.
| 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. |
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.
Do not open, view, attach, or read the whole source document into context.
Call the Superlinked MCP summarize_document tool:
document_base64 plus filename.content_base64.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.
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.