MCPInstall

document-granular-decompose

by tiangong-aiBackend & APIs

Upload local documents to TianGong AI Unstructure /mineruwithimages API for fine-grained parsing and return only plain fulltext content. Use when a task needs document fulltext extraction with returntxt=true, strict file-type allowlist validation, API base URL/auth token from environment variables, and optional provider/model overrides.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tiangong-ai/agent-skills --skill document-granular-decompose
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads document-granular-decompose automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Document Granular Decompose

Core Goal

  • Parse a local document through POST /mineru_with_images.
  • Always force return_txt=true.
  • Read environment variables for endpoint, request identity, and model routing:
    • UNSTRUCTURED_API_BASE_URL (example: https://your-unstructured-host:7770)
    • UNSTRUCTURED_AUTH_TOKEN
    • UNSTRUCTURED_PROVIDER (optional)
    • UNSTRUCTURED_MODEL (optional)
  • Return only plain fulltext (prefer API txt; fallback to joined result[].text).

Triggering Conditions

  • Need robust document fulltext extraction for PDF/Office/image files.
  • Need image-aware MinerU parsing but only textual output for downstream chunking/search/summarization.
  • Need to standardize provider/model/token input via environment variables instead of ad-hoc command parameters.

Workflow

  1. Prepare environment variables.
export UNSTRUCTURED_AUTH_TOKEN="your-fastapi-bearer-token"
export UNSTRUCTURED_API_BASE_URL="https://your-unstructured-host:7770"
# Optional routing overrides. Omit them to let the server choose its defaults.
export UNSTRUCTURED_PROVIDER="vllm"
export UNSTRUCTURED_MODEL="Qwen/Qwen3.5-122B-A10B-FP8"
  1. Run extraction and print fulltext to stdout.
python3 scripts/mineru_fulltext_extract.py \
  --file "/absolute/path/to/document.pdf"
  1. Save fulltext to a local file when needed.
python3 scripts/mineru_fulltext_extract.py \
  --file "/absolute/path/to/document.pdf" \
  --output "/absolute/path/to/fulltext.txt"

Request Contract

  • Endpoint resolution:
    • --api-url if provided
    • else UNSTRUCTURED_API_BASE_URL + /mineru_with_images
    • else fail fast with missing environment variable error
  • Method: POST multipart form.
  • Query params:
    • Force return_txt=true (always set by script).
  • Form fields sent:
    • file (required)
    • provider (optional, from UNSTRUCTURED_PROVIDER when set)
    • model (optional, from UNSTRUCTURED_MODEL when set)
  • Header sent:
    • Authorization: Bearer $UNSTRUCTURED_AUTH_TOKEN

Supported File Types (Strict)

  • Supported file types:
    • .bmp, .doc, .docm, .docx, .dot, .dotx, .gif, .jp2, .jpeg, .jpg, .odp, .odt, .pdf, .png, .pot, .potx, .pps, .ppsx, .ppt, .pptm, .pptx, .tiff, .webp, .xls, .xlsm, .xlsx, .xlt, .xltx
  • Office formats:
    • .doc, .docm, .docx, .dot, .dotx, .odp, .odt, .pot, .potx, .pps, .ppsx, .ppt, .pptm, .pptx, .xls, .xlsm, .xlsx, .xlt, .xltx
  • Any other extension is rejected before sending API requests.

Output Rules

  • Success output must be plain text fulltext only.
  • Normalize the confirmed upstream Markdown underscore escape (\_ to _) in both supported response paths; preserve other backslashes and escapes.
  • Fulltext source priority:
    1. response.txt
    2. join non-empty response.result[].text by blank lines
  • Do not output chunk metadata/json unless the user explicitly requests debugging.

Error Handling

  • Missing required env vars (UNSTRUCTURED_API_BASE_URL, UNSTRUCTURED_AUTH_TOKEN): fail fast with actionable message.
  • Missing UNSTRUCTURED_PROVIDER or UNSTRUCTURED_MODEL: omit the form field and let the service choose its default.
  • HTTP 401/403: report token/auth issue.
  • HTTP 4xx/5xx: print status and API error body if available.
  • Missing text in response: fail with explicit schema mismatch error.

References

  • references/env.md
  • references/request-response.md

Assets

  • assets/config.example.env

Scripts

  • scripts/mineru_fulltext_extract.py

FAQ

What does the document-granular-decompose skill do?

Upload local documents to TianGong AI Unstructure /mineruwithimages API for fine-grained parsing and return only plain fulltext content. Use when a task needs document fulltext extraction with returntxt=true, strict file-type allowlist validation, API base URL/auth token from environment variables, and optional provider/model overrides.

How do I install document-granular-decompose?

Run npx skills add https://github.com/tiangong-ai/agent-skills --skill document-granular-decompose in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/document-granular-decompose/ (personal) or .claude/skills/document-granular-decompose/ (project).

Which AI agents can use document-granular-decompose?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is document-granular-decompose safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains document-granular-decompose?

It is published by tiangong-ai in tiangong-ai/agent-skills. It has 112 recorded installs.

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