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Gdoc To Markdown

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iurykrieger
gdoc-to-markdown

Internal fetcher module for Google Docs and Sheets. Fetches content via MCP (preferred, when available), Google API with bearer token or public URL export (fallback), or browser DOM extraction via Claude in Chrome (last resort) and returns Markdown. Used by /bedrock:learn and /bedrock:sync — not intended for direct user invocation.

Overview

Publisheriurykrieger
Repositoryclaude-bedrock
Skill namegdoc-to-markdown
Stars
109
Forks
9
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by iurykrieger on GitHub. Read the source before you install it.

Installation

Install the Gdoc To Markdown AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/iurykrieger/claude-bedrock/tree/main/skills/gdoc-to-markdown
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/iurykrieger/claude-bedrock.git /tmp/claude-bedrock
mkdir -p .claude/skills
cp -r /tmp/claude-bedrock/skills/gdoc-to-markdown .claude/skills/gdoc-to-markdown
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdoc To Markdown in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gdoc To Markdown on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gdoc To Markdown is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Google Docs & Sheets Fetcher

Internal module — invoked by /bedrock:learn Phase 1 and /bedrock:sync Phase 2, not user-invocable.

Fetches a Google Docs document or Google Sheets spreadsheet and converts it to a local Markdown file. Supports both document types with automatic detection. Three layers in fallback order: MCP (preferred) → API / Public Export → Browser DOM extraction.

Dependency: Browser fallback (Layer 3) requires scripts/extract.js (relative to this skill directory).


Step 1 — Parse URL and Detect Type

Parse the URL. Accept these formats:

Google Docs:

  • https://docs.google.com/document/d/{docId}/edit
  • https://docs.google.com/document/d/{docId}/edit#heading=...
  • https://docs.google.com/document/d/{docId}/edit?tab=t.0
  • https://docs.google.com/document/d/{docId}
  • Raw document ID (no URL) — treat as Doc by default

Google Sheets:

  • https://docs.google.com/spreadsheets/d/{docId}/edit
  • https://docs.google.com/spreadsheets/d/{docId}/edit#gid=0
  • https://docs.google.com/spreadsheets/d/{docId}
  • Raw spreadsheet ID — only if the user explicitly mentions "sheet" or "spreadsheet"

Detect type:

  • URL contains /spreadsheets/d/ → Sheet
  • URL contains /document/d/ → Doc
  • Raw ID with no URL → default to Doc unless user context indicates Sheet

Extract the {docId} — the string between /d/ and the next / or end of path.


Step 2 — Layer 1: MCP (Google Docs)

The preferred layer. Checks if a Google Docs/Drive MCP server is installed and authenticated.

2.1 Check MCP availability

Use ToolSearch to check if any Google Docs or Google Drive MCP tools are available:

ToolSearch(query: "google docs drive document", max_results: 5)

Evaluate the result:

  • Google Docs/Drive MCP tools found and functional → proceed to 2.2 Fetch via MCP
  • MCP tools found but not authenticated → proceed to 2.3 Guide authentication
  • No Google Docs MCP tools found (this is the expected case today) → log and fall through:

MCP not available: No Google Docs/Drive MCP server installed. When a Google Docs MCP becomes available, install it for direct document access. Falling back to API (Layer 2).

2.2 Fetch via MCP

Use the Google Docs MCP tools to fetch the document content. The specific tool depends on what the MCP exposes.

  • Success → convert content to Markdown if not already, proceed to Output Contract
  • Error → log the error and fall through to Layer 2:

MCP fetch failed: {error message}. Falling back to API (Layer 2).

2.3 Guide authentication

If an MCP is installed but not authenticated, guide the user:

MCP not authenticated: A Google Docs MCP server is installed but requires authentication. Complete the authentication flow as prompted by the MCP server. After authentication, Google documents can be fetched directly via MCP.

Ask the user: "Would you like to authenticate the Google Docs MCP now, or skip to API fallback (Layer 2)?"

  • User wants to authenticate → invoke the MCP authentication tool, wait for the user to complete the flow, then retry 2.2 Fetch via MCP
  • User declines → log "User declined MCP authentication, falling to Layer 2" → continue to Step 3

Step 3 — Layer 2: API

Uses the Google Drive/Sheets API with a bearer token or public URL export.

Strategy selection

  • If GOOGLE_ACCESS_TOKEN env var exists → use Strategy A (API with token)
  • If GOOGLE_ACCESS_TOKEN is NOT set → use Strategy B (Public Export)
  • If Strategy B fails (private document) → guide and fall through to Layer 3:

API not available: This document requires authentication and no GOOGLE_ACCESS_TOKEN is set. Generate a token at https://developers.google.com/oauthplayground/ with the https://www.googleapis.com/auth/drive.readonly scope. Export: export GOOGLE_ACCESS_TOKEN="your-token". Falling back to Browser extraction (Layer 3).

Inform the caller which strategy is being used and whether the document is a Doc or Sheet.


Google Docs — Strategy A (API with token)

A.1 Fetch as Markdown

Use WebFetch:

WebFetch(
  url: "https://www.googleapis.com/drive/v3/files/{docId}/export?mimeType=text/markdown",
  headers: { "Authorization": "Bearer {GOOGLE_ACCESS_TOKEN}" },
  prompt: "Return the COMPLETE raw content exactly as-is. Do not summarize or truncate."
)

If WebFetch cannot send the Authorization header, fall back to Bash:

bash
curl -sL -H "Authorization: Bearer ${GOOGLE_ACCESS_TOKEN}" \
  "https://www.googleapis.com/drive/v3/files/{docId}/export?mimeType=text/markdown"
A.2 Validate
  • Valid Markdown content → proceed to Output Contract
  • 401 → guide and fall through to Layer 3:

API authentication failed: Google API returned 401. The token may be expired or invalid. Refresh your token at https://developers.google.com/oauthplayground/. Falling back to Browser extraction (Layer 3).

  • 403 → abort (permissions issue, no fallback can bypass):

API access denied: Google API returned 403. You do not have access to this document. Verify document sharing permissions in Google Docs.

  • 404 → abort:

Document not found: Google API returned 404. The document ID may be incorrect. Verify the URL or document ID.

  • Empty response → guide and fall through to Layer 3:

API returned empty: The document appears to be empty or the export failed. Falling back to Browser extraction (Layer 3).

Do not post-process the Markdown — return Google's native output as-is.


Google Docs — Strategy B (Public Export)

B.1 Fetch via public endpoint
bash
curl -sL "https://docs.google.com/document/d/{docId}/export?format=md"

The -L flag follows the 307 redirect to *.googleusercontent.com.

B.2 Validate
  • Valid Markdown content → proceed to Output Contract
  • HTML error page or Google login page → document is private, fall through to Layer 3:

Public export not available: Document is private and requires authentication. Set GOOGLE_ACCESS_TOKEN for API access, or ensure you are logged into Google in Chrome. Falling back to Browser extraction (Layer 3).

  • Empty response → fall through to Layer 3:

Public export returned empty: The document appears to be empty or inaccessible. Falling back to Browser extraction (Layer 3).


Google Sheets — Strategy A (API with token)

A.1 List all sheet tabs
bash
curl -sL -H "Authorization: Bearer ${GOOGLE_ACCESS_TOKEN}" \
  "https://sheets.googleapis.com/v4/spreadsheets/{docId}?fields=sheets.properties"

Returns JSON with sheets[].properties.title (sheet name) and sheets[].properties.sheetId (gid).

A.2 Export each tab as CSV

For each tab:

bash
curl -sL -H "Authorization: Bearer ${GOOGLE_ACCESS_TOKEN}" \
  "https://docs.google.com/spreadsheets/d/{docId}/export?format=csv&gid={sheetGid}"

If the export endpoint fails for a specific tab, fall back to the Sheets API values endpoint:

bash
curl -sL -H "Authorization: Bearer ${GOOGLE_ACCESS_TOKEN}" \
  "https://sheets.googleapis.com/v4/spreadsheets/{docId}/values/{sheetName}!A:ZZ"

Convert the JSON values array rows to comma-separated values to produce CSV.

A.3 Convert CSV to Markdown tables

For each tab's CSV:

  1. Parse CSV correctly — respect quoted fields (fields containing commas, newlines, or double quotes wrapped in "..." are a single field)
  2. First row = header → | col1 | col2 | ... |
  3. Separator row → | --- | --- | ... |
  4. Data rows → | val1 | val2 | ... |
  5. Escape pipe characters | within cell values as \|
A.4 Concatenate all tabs

For each tab, prepend: ## {sheet_name} followed by a blank line, then the Markdown table, then a blank line. Tabs appear in the same order as returned by the Sheets API metadata.

A.5 Validate
  • At least one tab produced valid content → proceed to Output Contract
  • 401 → guide and fall through to Layer 3:

API authentication failed: Sheets API returned 401. The token may be expired or invalid. Refresh your token at https://developers.google.com/oauthplayground/. Falling back to Browser extraction (Layer 3).

  • 403 → abort:

API access denied: Sheets API returned 403. You do not have access to this spreadsheet. Verify spreadsheet sharing permissions or ensure token has drive.readonly scope.

  • 404 → abort:

Spreadsheet not found: Sheets API returned 404. The spreadsheet ID may be incorrect. Verify the URL.

  • All tabs empty → fall through to Layer 3:

API returned empty: The spreadsheet appears to be empty. Falling back to Browser extraction (Layer 3).


Google Sheets — Strategy B (Public Export)

B.1 Export first tab
bash
curl -sL "https://docs.google.com/spreadsheets/d/{docId}/gviz/tq?tqx=out:csv&gid=0"
B.2 Validate and convert
  • Valid CSV → convert to Markdown table (same rules as Strategy A step A.3), proceed to Output Contract
  • HTML error page or Google login page → spreadsheet is private, fall through to Layer 3:

Public export not available: Spreadsheet is private and requires authentication. Set GOOGLE_ACCESS_TOKEN for API access, or ensure you are logged into Google in Chrome. Falling back to Browser extraction (Layer 3).

  • Empty response → fall through to Layer 3:

Public export returned empty: The spreadsheet appears to be empty or inaccessible. Falling back to Browser extraction (Layer 3).

B.3 Multi-sheet limitation

Inform the caller: "Public export can only retrieve the first sheet tab. To export all tabs, set GOOGLE_ACCESS_TOKEN."

Format the single tab with heading ## Sheet1 followed by the Markdown table.


Step 4 — Layer 3: Browser (Claude in Chrome)

Last resort. Opens the document in Chrome and extracts content via DOM scraping.

4.1 Load Chrome tools

Via ToolSearch:

select:mcp__claude-in-chrome__tabs_context_mcp,mcp__claude-in-chrome__tabs_create_mcp
select:mcp__claude-in-chrome__navigate
select:mcp__claude-in-chrome__javascript_tool

If Chrome MCP tools are not available, abort:

Browser not available: Claude in Chrome MCP is not installed or not running. Install the Claude in Chrome extension and ensure it is connected. No further fallback layers available — cannot fetch this document.

4.2 Get browser context

mcp__claude-in-chrome__tabs_context_mcp(createIfEmpty: true)

4.3 Navigate to the document

mcp__claude-in-chrome__tabs_create_mcp()
mcp__claude-in-chrome__navigate(url: "<full document URL>", tabId: <id>)

4.4 Execute extraction script

Read scripts/extract.js from this skill's directory using the Read tool. Then execute it:

mcp__claude-in-chrome__javascript_tool(
  action: "javascript_exec",
  text: <contents of extract.js>,
  tabId: <id>
)

The script returns JSON:

json
{
  "status": "ready",
  "totalLength": 31450,
  "totalChunks": 4,
  "chunkSize": 10000,
  "title": "Document Title",
  "docType": "doc",
  "instructions": "Run window.__gdoc.chunk(0), window.__gdoc.chunk(1), etc."
}

If the script returns an error field: handle accordingly (login page, empty content, wrong page).

4.5 Read chunks

For each chunk from 0 to totalChunks - 1:

mcp__claude-in-chrome__javascript_tool(
  action: "javascript_exec",
  text: "window.__gdoc.chunk(N)",
  tabId: <id>
)

Concatenate all chunks into a single Markdown string.

4.6 Validate

Check that the result is not empty and not a login page. If validation fails:

Browser extraction failed: Could not extract content from the document. Ensure you are logged into Google in Chrome and the document has loaded. No further fallback layers available — cannot fetch this document.


Output Contract

Save the file

  • Doc → save to /tmp/gdoc_{docId}.md
  • Sheet → save to /tmp/gsheet_{docId}.md

Write the Markdown content using the Write tool. Verify the file was written by reading the first few lines.

Return to caller

Return to /bedrock:learn or /bedrock:sync:

  • Output file path: /tmp/gdoc_{docId}.md or /tmp/gsheet_{docId}.md
  • Document type: Doc or Sheet
  • Layer used: MCP, API, Public Export, or Browser
  • Tabs exported (Sheets only): number of tabs

The caller copies the file to $TEACH_TMP/<slug>.md.


Hard Rules

RuleDetail
Read-onlyNever write back to Google Docs or Sheets.
No OAuth interactive flowsUse only existing MCP auth, static token from GOOGLE_ACCESS_TOKEN, or browser session.
Validate before savingDo not save empty files, HTML error pages, or Google login pages.
Layer order is sacredAlways try MCP → API → Browser, in that order. Never skip ahead unless a layer is unavailable or user declines.
Guide before falling throughIf a layer exists but is misconfigured, guide the user before moving to the next layer.
No Markdown post-processing for DocsReturn Google's native Markdown export as-is (API layer).
Export all sheet tabs (API)Do not skip tabs or allow selective export.
Respect CSV quoting rulesQuoted fields are single fields, even with commas or newlines inside.
Best-effortIf a layer fails, try the next. If all fail, report and abort — do not retry indefinitely.
403 is terminalPermission denied cannot be resolved by falling to another layer — abort immediately.

Troubleshooting

ProblemSolution
No Google Docs MCP availableExpected today — skip to API layer automatically
API returns 401Token expired — refresh at https://developers.google.com/oauthplayground/
API returns 403User lacks access to the document/spreadsheet
API returns 404Document ID is wrong — verify URL
Public export returns HTML login pageDocument is private — set GOOGLE_ACCESS_TOKEN or use browser
Content is truncatedGoogle Drive API limits exports to 10 MB — document may be too large
WebFetch fails to send Authorization headerFall back to curl -H "Authorization: Bearer {token}" -sL "<url>" via Bash
Sheets 403 for metadataToken may lack drive.readonly or spreadsheets.readonly scope
Sheets CSV export returns HTMLExport endpoint blocked — fall back to Sheets API values endpoint
Public Sheets export returns only first tabExpected limitation — multi-sheet export requires GOOGLE_ACCESS_TOKEN
Chrome extension disconnectedRefresh extension, call tabs_context_mcp(createIfEmpty: true)
Browser redirects to Google loginUser not authenticated — log into Google in Chrome, retry
extract.js returns emptyDocument may not have loaded — wait and retry, or check if document is empty

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gdoc To Markdown AI skill do?

Internal fetcher module for Google Docs and Sheets. Fetches content via MCP (preferred, when available), Google API with bearer token or public URL export (fallback), or browser DOM extraction via Claude in Chrome (last resort) and returns Markdown. Used by /bedrock:learn and /bedrock:sync — not intended for direct user invocation.

Why use Gdoc To Markdown on TypingMind?

Because you install it once and use it with any model. Gdoc To Markdown is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gdoc To Markdown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iurykrieger/claude-bedrock/tree/main/skills/gdoc-to-markdown. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gdoc To Markdown?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gdoc To Markdown?

As many as you like. As long as a model supports skills, you can use Gdoc To Markdown with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gdoc To Markdown AI skill free?

Yes. It is published on GitHub by iurykrieger under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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