← Markdown by mdedit.aiCONTENT HISTORY

Update to Markdown by mdedit.ai

Snapshot Sep 30, 2026 · 22:55 UTC · version 0.1.1

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{
  "name": "find-mdedit-document",
  "description": "Find and read an existing Markdown Document stored in mdedit. Use when the user asks to locate, open, retrieve, quote, summarize, or inspect a saved mdedit document. Do not use for local files, web pages, or generic Markdown questions unrelated to mdedit storage.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 405
    }
  ],
  "skill_md_contents": "---\nname: find-mdedit-document\ndescription: Find and read an existing Markdown Document stored in mdedit. Use when the user asks to locate, open, retrieve, quote, summarize, or inspect a saved mdedit document. Do not use for local files, web pages, or generic Markdown questions unrelated to mdedit storage.\ncompatibility: Requires the mdedit MCP server with workspace and article read tools.\n---\n\n# Find and read a document in mdedit\n\nResolve a real saved document before describing its content.\n\n1. Resolve the workspace with `list_workspaces` unless a `workspaceId` from an earlier mdedit tool result is already established.\n   - If several workspaces could match, ask the user to choose by returned name.\n   - If no workspace matches, stop without guessing.\n2. Call `list_articles` for the resolved workspace.\n3. Match the user's title or description against returned document metadata.\n   - If there is one clear match, continue.\n   - If several documents plausibly match, present only their returned titles and ask the user to choose.\n   - If there is no match, say so and stop.\n4. Call `read_article` with the returned `workspaceId` and `articleId`.\n5. Answer from the returned saved `content`, `contentRevision`, and `contentHash`. Distinguish exact saved content from any summary or interpretation.\n\nThis workflow is read-only. Do not call create, edit, publish, or unpublish tools. Never infer document content, identifiers, revisions, publication status, or URLs from titles or conversation memory.\n"
}

SHA-256: ef045b9b88f8ba1b18a3babac97c67261dfd3321b3919511cc4a1e0b5bde0907