Document Extract

OrganizationPopular

amd

document-extract

Enumerate every requested item in long text documents or transcripts, with fields and source evidence. Use for exhaustive inventories such as every exercise, action item, or finding; not ordinary summaries, general knowledge lists, or code symbols.

Overview

Publisher	amd
Repository	`gaia`
Skill name	`document-extract`
Stars	1.6K
Forks	176
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by amd on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/amd/gaia/tree/main/hub/agents/gaia/python/gaia_agent/skills/document-extract
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/amd/gaia/tree/main/hub/agents/gaia/python/gaia_agent/skills/document-extract

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/amd/gaia.git /tmp/gaia
mkdir -p .claude/skills
cp -r /tmp/gaia/hub/agents/gaia/python/gaia_agent/skills/document-extract .claude/skills/document-extract

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Document Extract 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 Document Extract 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 Document Extract 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.

Exhaustive document extraction

Identify each source text file and the requested item type and fields. Use the user's current files; remembered summaries can help locate them but do not establish current contents or completeness.
Call extract_document_items once per source. It processes bounded chunks sequentially and retains source-backed entries. Do not replace this with a summary or manually calculated page offsets. When specifying fields in the tool call, pass fields: ["name", "owner", "deadline"] (the actual requested names).
If an extraction fails, report it as incomplete. Do not silently switch to a shorter list, a guessed count, or a script that has not been run.
If the user requested a saved inventory, use save_extracted_items for the exact destination. The exporter preserves all entries and provenance as JSON, CSV, or readable text, and the framework reads the file back and checks it; don't edit or regenerate it by hand.
The framework appends the full retained inventory to your final answer. Briefly state limitations or requested analysis; do not repeat or re-summarize the list.

The existing memory system records the action, source fingerprint, coverage, count and final inventory unless the session is private. Use conversation search for follow-ups about previous work; re-extract if the source or requested fields change. Never treat a remembered summary as proof that all current items were extracted, and don't store a whole private transcript as a durable personal fact. A compact summary may supplement the inventory, not replace it.

Frequently asked questions

What does the Document Extract AI skill do?

Why use Document Extract on TypingMind?

Because you install it once and use it with any model. Document Extract 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 Document Extract in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/amd/gaia/tree/main/hub/agents/gaia/python/gaia_agent/skills/document-extract. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Document Extract?

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 Document Extract?

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

Is the Document Extract AI skill free?

Yes. It is published on GitHub by amd 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Exhaustive document extraction

Frequently asked questions

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