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title SuperDocs Skill
description Skill file for AI agents (Claude Code, Cursor, Claude Desktop, Windsurf, VS Code) — when to use SuperDocs, install patterns, common workflows, pitfalls. Auto-loads when document work is requested.

SuperDocs Skill

A skill for AI agents (Claude Code, Cursor, Claude Desktop, Windsurf, VS Code Copilot, etc.) connecting to the SuperDocs MCP server at https://api.superdocs.app/mcp/.

This skill encodes the workflows that work well with SuperDocs and the pitfalls to avoid. Read the section that matches what the user is asking for; you don't need the whole file.

Setup check — run this ONCE at session start

Before reading the rest of this skill, check whether SuperDocs MCP tools are accessible. Look for tools prefixed with mcp__superdocs__, mcp__plugin_superdocs_superdocs__, or just superdocs__ (depending on your client).

If yes → MCP server is connected. Skip to "When to use" below.

If no → MCP server isn't connected yet. Add it now using the command appropriate for your tool. You only need to do this ONCE — after the first add, the server stays connected for the session and future sessions. Do NOT re-run this check on every tool call; if you've already verified MCP is accessible OR have already added it this session, skip directly to using the tools.

Tool Command
Claude Code claude mcp add -s user --transport http superdocs https://api.superdocs.app/mcp/ --header "Authorization: Bearer sk_YOUR_KEY" (or just install the plugin which bundles MCP + skill + 4 prompts: claude plugin marketplace add superdocsapp/superdocs-plugin && claude plugin install superdocs@superdocs-plugin)
Cursor Add to .cursor/mcp.json: {"mcpServers":{"superdocs":{"url":"https://api.superdocs.app/mcp/","headers":{"Authorization":"Bearer sk_YOUR_KEY"}}}}
VS Code Add to workspace .vscode/mcp.json (or the user-level mcp.json via MCP: Open User Configuration): {"servers":{"superdocs":{"type":"http","url":"https://api.superdocs.app/mcp/","headers":{"Authorization":"Bearer sk_YOUR_KEY"}}}}
Cline / Continue / Goose / Gemini CLI / others See client-specific docs at https://docs.superdocs.app/mcp/setup — config file format varies.

Get a free API key at https://use.superdocs.app → Settings → API Keys → Create. Free plan = 500 ops/month.

After adding, restart your session if your client requires it (Claude Code does), then continue with the rest of this skill.

When to use

Reach for SuperDocs when any of these are true:

  • Styled document editing — the user has a .docx, PDF, HTML, or styled file and wants to modify specific sections without breaking the surrounding format. Plain LLM rewrites lose tables, borders, alternating row shading, fonts.
  • Multi-format export — the user wants the same document as .docx, .pdf, .html, Markdown, or plain text with consistent visual fidelity.
  • Long documents (>5 pages) — chunk-ID-based structural editing scales to 100-page documents where naïve "rewrite the whole thing" approaches blow context windows or lose precision.
  • Tables, borders, shading — these survive edits in SuperDocs. Most general-purpose tools strip or mangle them.
  • From-scratch drafting that needs format from day one — e.g., NDAs, contracts, SOPs, letterheaded memos, formal reports. Initialize an empty session, then call chat with the full draft request — SuperDocs writes the document with proper formatting in one turn. Don't generate the document HTML in your context first; that wastes thousands of tokens AND skips SuperDocs' formatting layer.
  • Multi-step workflows with HITL approval — when changes are sensitive enough that a human should approve each one before it lands.
  • Image/diagram references — attach screenshots, diagrams, scanned forms; SuperDocs reads them visually and edits the document accordingly.
  • Visual content inside the document — ask the AI to generate an image (photorealistic shots, logos, infographics), edit any existing image in plain English ("brighten this", "remove the background", "recolor with warm sepia"), insert auto-rendered diagrams (flowchart / sequence / mindmap / ER), drop in math equations, or add a self-updating table of contents. All by chatting; everything exports cleanly to .docx and PDF.

When NOT to use

Skip SuperDocs (use plain text generation or a different tool) when:

  • The user just wants a chunk of plain text returned in chat — no file output, no styling.
  • The document has no formatting and will never need any (a README.md or a plain .txt log).
  • The user wants real-time collaborative editing with multiple people typing at once (SuperDocs is single-user-per-session).
  • The user wants you to render or display an existing document's contents inline in chat — call the relevant export tool and link to the file rather than dumping HTML into the conversation.

Quick start (4 install patterns)

The user installs the SuperDocs MCP server in their AI tool's config. They need an API key from https://use.superdocs.app (Settings → API Keys → Create). Keys look like sk_a1b2c3d4....

Claude Code

~/.config/claude-code/mcp.json:

{
  "mcpServers": {
    "superdocs": {
      "type": "http",
      "url": "https://api.superdocs.app/mcp/",
      "headers": { "Authorization": "Bearer sk_YOUR_API_KEY" }
    }
  }
}

Restart Claude Code. The 38 SuperDocs tools become available; this skill auto-loads when document work is requested.

Cursor

.cursor/mcp.json in the project root (or global Cursor config):

{
  "mcpServers": {
    "superdocs": {
      "url": "https://api.superdocs.app/mcp/",
      "headers": { "Authorization": "Bearer sk_YOUR_API_KEY" }
    }
  }
}

VS Code

Workspace .vscode/mcp.json (or the user-level mcp.json, opened with the MCP: Open User Configuration command). Note VS Code uses a servers key and a type field:

{
  "servers": {
    "superdocs": {
      "type": "http",
      "url": "https://api.superdocs.app/mcp/",
      "headers": { "Authorization": "Bearer sk_YOUR_API_KEY" }
    }
  }
}

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or equivalent on Windows/Linux:

{
  "mcpServers": {
    "superdocs": {
      "command": "npx",
      "args": ["mcp-remote", "https://api.superdocs.app/mcp/", "--header", "Authorization: Bearer sk_YOUR_API_KEY"]
    }
  }
}

Pattern 1 — Upload an existing file the user wants to edit

Files smaller than 100KB (small contracts, single-page memos, brief outlines): inline base64 is fine.

TOOL: upload_document_base64
ARGS:
  filename: "contract.docx"
  file_base64: <base64-of-file-bytes>
  session_id: "user-session-1"

Files >100KB (multi-page styled docx, full PDFs): use the pre-signed URL flow so bytes never pass through your context window.

STEP 1 — TOOL: request_upload_url
ARGS:
  filename: "long-contract.docx"
  content_type: "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
  size_bytes: 245000
  purpose: "document"
RETURNS: { upload_id, upload_url, curl_example }

STEP 2 — Execute the `curl_example` yourself via your Bash tool. Do
not paste the curl command back to the user expecting them to run it
— uploading the file is your job, not theirs. The bytes go straight
from disk to cloud storage; nothing flows through your context. Only
return the curl text to the user as a fallback if you genuinely have
no shell access.

STEP 3 — TOOL: process_uploaded_document
ARGS:
  upload_id: <from step 1>
  filename: "long-contract.docx"
  session_id: "user-session-1"
  parse_mode: "document"   # or "attachment" for read-only reference
RETURNS: { document_html with chunk IDs }

Why this matters: A 100KB docx becomes ~140K base64 chars in your context — for Claude Sonnet 4.6 that's ~70% of your window gone before the user has even asked a question. The pre-signed URL flow keeps bytes out of context entirely.

Pattern 2 — Draft a new document from scratch

The default path: let SuperDocs write the document. Don't draft the full HTML in your context and upload it — that wastes thousands of tokens AND yields plain HTML instead of a properly-formatted SuperDocs document. SuperDocs creates the entire document natively in one turn when you ask it to.

STEP 1 — Initialize an empty session:
TOOL: upload_document_base64
ARGS:
  filename: "draft.html"
  file_base64: <base64 of "<html><body></body></html>">
  session_id: "user-session-1"

STEP 2 — Call chat with the full draft request:
TOOL: chat
ARGS:
  message: "Draft a 1-page mutual NDA between Acme Corp and Beta Ltd, governed by Delaware law, with a 3-year term. Include standard sections: definitions, obligations, exclusions, term, return/destruction, no license, governing law, signatures."
  session_id: "user-session-1"

STEP 3 — Iterate via additional chat calls as needed:
TOOL: chat
ARGS:
  message: "Add an injunctive relief clause after section 6"
  session_id: "user-session-1"

STEP 4 — Export when done:
TOOL: export_document
ARGS:
  session_id: "user-session-1"
  format: "docx"
  filename: "final.docx"

Optional: scaffold structure first for long multi-section docs. If the document is large enough that you want the user to react to the structure before content is generated (e.g., a 20-section employee handbook), draft a brief outline in your reply for the user to confirm, then call chat with that outline embedded in the message: "Draft this document. Use this structure: 1) Introduction; 2) Scope; 3) Pricing; 4) Termination; 5) Signatures." Same one-call pattern; SuperDocs still writes the actual content.

Pattern 3 — Editing large documents efficiently

For documents >20 pages, the chat response will normally include the entire updated HTML on every turn (~130K tokens for a 100-page styled doc). After 5 turns that's ~650K tokens — well past most context windows.

Always set response_mode='compact' for large-doc editing:

TOOL: chat
ARGS:
  message: "Make the second paragraph in section 3 bold"
  session_id: "user-session-1"
  response_mode: "compact"

In compact mode the response includes only chunk_diffs (per-section before/after) for the chunks that actually changed — typically 1-3 chunks, ~500-2,000 tokens total. The same 5-turn editing session above drops from ~650K tokens to ~3K tokens.

To read a section in compact mode, just ask for it in natural language — "show me the force majeure clause" or "what does section 4.2 currently say?". The AI returns the content in the chat reply text. You don't need to know about chunk IDs and shouldn't try to query for them.

Pattern 4 — Human-in-the-loop approval

When changes are sensitive (legal contracts, financial filings, anything that goes to an external party), ask SuperDocs to surface each change for the user to approve before applying.

STEP 1 — TOOL: chat_async
ARGS:
  message: "Update all party names from 'Acme' to 'NewAcme' across the document"
  session_id: "user-session-1"
  approval_mode: "ask_every_time"
  response_mode: "compact"
RETURNS: { job_id }

STEP 2 — Poll TOOL: get_job until status='awaiting_approval'.
The result contains `pending_changes: [{change_id, chunk_id, old_html, new_html, ai_explanation}, …]`

STEP 3 — Show the diff to the user, get their decision per change.

STEP 4 — TOOL: approve_change for each:
ARGS:
  session_id: "user-session-1"
  job_id: <from step 1>
  change_id: <from pending_changes>
  approved: true   # or false with feedback for revision
  feedback: "Looks good"   # optional

Once all decisions are recorded, the job auto-resumes and applies the approved changes.

A large edit can pause to ask whether to keep going — that's a different signal from an approval. On very large edits the job may stop partway through with a continue prompt rather than pending changes: get_job shows status='awaiting_approval' with metadata.awaiting_kind='continue_prompt' (over SSE you'd see a continue_prompt event). Resume it with continue_chat, not approve_change:

TOOL: continue_chat
ARGS:
  job_id: <from chat_async>
  continue: true    # finish the rest; false = stop and keep what's already applied

Calling approve_change on a continue-prompt pause won't work — it's the wrong tool for that pause kind. Check metadata.awaiting_kind: pending_changes present → use approve_change; awaiting_kind='continue_prompt' → use continue_chat.

Pattern 5 — Export & deliver

After the user is happy with the document:

TOOL: export_document
ARGS:
  session_id: "user-session-1"
  format: "docx"   # or "pdf", "html", "markdown", "txt"
  options:
    filename: "delivery"
    paper_size: "Letter"    # or "A4", "A3", "Legal"

For files the user needs to download (rather than viewing inline), use the pre-signed download URL flow. request_download_url re-exports the session's current document and hands back a short-lived GET URL — you do not call export_document first, and there is no blob path to pass:

STEP 1 — TOOL: request_download_url
ARGS:
  session_id: "user-session-1"   # required
  format: "docx"                 # or "pdf" (native PDF), "html", "markdown", "txt"
  filename: "delivery"           # optional
  options:                       # optional, same shape as export_document
    paper_size: "Letter"
RETURNS: { download_url, curl_example }

STEP 2 — Execute the returned curl command yourself via your Bash
         tool to save the file to the user's working directory. Do
         not paste the curl command back to the user expecting them
         to run it manually — downloading is your job, not theirs.
         Only return the URL+command as text if you genuinely have
         no shell access, OR if the user explicitly asked for "just
         the URL" / "the curl command".

Pattern 6 — Reference attachments without editing them

If the user wants the AI to consult a file (compliance manual, brand guide, prior contract) while editing a different document, upload it as an attachment — SuperDocs processes it for AI-searchable retrieval (text content is indexed for meaning-aware search; images are interpreted visually) so chat can search and cite it.

STEP 1 — TOOL: upload_attachment_base64 (small) or request_upload_url + process_uploaded_document with parse_mode='attachment' (large)

STEP 2 — TOOL: get_attachment_status — wait until status='ready'

STEP 3 — Continue with chat. The AI now has the attachment available for retrieval.

Common workflows

"Draft an NDA between X and Y"

  1. Ask the user any missing details (jurisdiction, term length, mutual vs one-way, special carve-outs).
  2. Initialize an empty session via upload_document_base64 with <html><body></body></html>.
  3. Call chat with the full request: "Draft a 1-page mutual NDA between {X} and {Y}, governed by {jurisdiction} law, with a {N}-year term. Include standard sections: definitions, obligations, exclusions, term, return/destruction, no license, governing law, signatures."
  4. SuperDocs writes the complete document in one turn.
  5. Iterate via additional chat calls if needed (e.g., "Add an injunctive relief clause"). Each chat turn is one billable operation (very large edits: one operation per 25 sections edited).
  6. export_document as .docx.
  7. Add a brief disclaimer when delivering: "This is a starting draft. Have qualified counsel review before signing — this is not legal advice."

"Review this contract for red flags"

  1. Upload the contract via request_upload_url + process_uploaded_document.
  2. Use chat (compact mode) with "Identify clauses that are unfavorable to {party}, and explain each in 1-2 sentences." — the AI returns a list in its reply, no edits needed.
  3. If user wants markup, chat again with "Add inline annotations highlighting each red-flag clause".

"Convert this HTML to a styled .docx"

  1. Upload the HTML via upload_document_base64 (it's almost certainly under 100KB).
  2. export_document with format='docx'.

"Update all references to our product name across this 80-page manual"

  1. Upload the manual via request_upload_url + process_uploaded_document.
  2. chat_async with approval_mode='ask_every_time' and response_mode='compact' so the user can review each replacement before it lands.

Pitfalls

  1. Don't dump the document HTML back into chat. Once SuperDocs has the document loaded in a session, refer to sections by description ("the second paragraph of section 3"), not by pasting HTML back. The AI already has chunk-aware access.

  2. Don't try to compute or invent chunk IDs. Chunk IDs are SuperDocs identifiers. You receive them in some responses (HITL pending_changes, compact-mode chunk_diffs) and can pass them back when explicitly relaying IDs SuperDocs already issued (e.g., change_id in approve_change). You should never try to construct or guess one.

  3. session_id is sticky. Use the same session_id across all calls for one document. Generate a new one (e.g., user-${timestamp}) per logical document. State persists across restarts via the SuperDocs backend.

  4. Default response_mode='full' is fine for documents under 20 pages. Switch to compact only when context cost matters.

  5. parse_mode matters for process_uploaded_document — 'document' loads as the active editable doc, 'attachment' loads as a read-only AI-searchable reference. Don't mix them up.

  6. Pre-signed URLs are short-lived — 5 min for upload, 15 min for download. If the user pauses, the URL may need re-issuing.

  7. Format fidelity is best for .docx ↔ .docx. PDF round-trip preserves layout but is harder to edit (text reflows). HTML is the most editable but loses some Office-specific features.

  8. HITL doesn't work in compact mode the way you might think. Pending changes still come back fully populated in pending_changes — compact mode only affects the post-edit confirmation response shape, not the pre-approval review shape. Both work together.

  9. File size cap is 100 MB. If the user has something larger, suggest splitting it.

  10. Don't try to authenticate per-tool. Authentication happens once at MCP server connect via the Authorization: Bearer sk_… header. Individual tool calls don't need extra auth.

  11. Don't generate full document HTML locally for upload — let SuperDocs draft. For from-scratch drafting, the right pattern is: initialize an empty session via upload_document_base64 with <html><body></body></html>, then call chat with the full draft request. SuperDocs writes the document natively in one turn. Generating the full HTML in your own context and then uploading it wastes thousands of tokens AND yields plain HTML instead of a properly-formatted SuperDocs document with chunk IDs ready for further editing.

  12. Chunk boundaries don't always equal paragraph boundaries. A single chunk may contain multiple paragraphs, headings, or list items (e.g., a chunk for an entire page section). When asking for narrow edits like "bold the first paragraph", be explicit about which exact text to target — "bold only the paragraph beginning 'Curabitur', leave the following paragraphs unchanged" — to avoid sibling-element collateral edits inside the same chunk.

Tool reference (38 tools — full descriptions in available-tools.mdx)

Chat & editing: chat, chat_async, approve_change, continue_chat, revert_session_to_message, redo_revert Document upload/parse: upload_document_base64, request_upload_url, process_uploaded_document Document export/download: export_document, request_download_url Sessions: list_sessions, get_session_history, get_session_jobs Session documents (multi-document): list_session_documents, focus_session_document, close_session_document — a session can hold several open documents; pass document_id on chat/chat_async to target one, or let turns hit the focused document Files (durable documents): list_documents, get_document_detail, rename_document, archive_document (soft delete, recoverable ~30 days), unarchive_document (restore an archived document), open_documents, init_session — documents persist across sessions; reopen, rename, archive, or restore them Cross-session memory: clear_cross_session_memory (wipes the opt-in memory note) Attachments (reference files): upload_attachment_base64, delete_attachment, get_attachment_status Images: upload_image_base64 (upload an image as base64, get back a hosted URL to reference in chat: "insert my logo at the top") Async jobs: list_jobs, get_job, cancel_job Templates: upload_template_base64, list_user_templates, delete_user_template Account: get_account_status (tier, operations used/remaining this month, reset date; non-billable) Health: health

For full schemas and parameter descriptions, see the SuperDocs MCP tools reference.