Extraction Form

Community

WILLOSCAR

extraction-form

Use when `evidence-review` has screened includes and needs a schema-aligned extraction table.

Overview

Publisher	WILLOSCAR
Repository	`research-units-pipeline-skills`
Skill name	`extraction-form`
Stars	513
Forks	39
Bundled files	1
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.
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 WILLOSCAR on GitHub. Read the source before you install it.

Installation

Install the Extraction Form 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form
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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form

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/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/extraction-form .claude/skills/extraction-form

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

Use it in TypingMind

Enable Extraction Form 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 Extraction Form 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 Extraction Form 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.

Extraction Form

Triggers & routing

Trigger: extraction form, extraction table, data extraction, 信息提取, 提取表.
Use when: evidence-review 在 screening 后进入 extraction（C4），需要把纳入论文按字段落到 CSV 以支持后续 synthesis。

Transforms screened include rows plus protocol schema into the analysis table used by evidence-review.

Inputs

Required:

papers/screening_log.csv
output/PROTOCOL.md

Optional:

papers/paper_notes.jsonl

Output

papers/extraction_table.csv

Contract

The table must:

contain one row per included paper
preserve provenance columns (paper_id, title, year, url)
include protocol-defined extraction fields
keep narrative residue in notes, not in schema columns

Script boundary

scripts/run.py should:

parse the extraction schema from the protocol
filter include rows
materialize a normalized CSV

Acceptance

output exists
include rows map 1:1 to extraction rows
schema matches output/PROTOCOL.md

Non-goals

synthesis writing
bias scoring

Bundled files

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

scripts/run.py5 KB

Frequently asked questions

What does the Extraction Form AI skill do?

Use when `evidence-review` has screened includes and needs a schema-aligned extraction table.

Why use Extraction Form on TypingMind?

Because you install it once and use it with any model. Extraction Form 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 Extraction Form in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form. 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 Extraction Form?

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 Extraction Form?

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

Is the Extraction Form AI skill free?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. 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

Extraction Form

Triggers & routing

Inputs

Output

Contract

Script boundary

Acceptance

Non-goals

Bundled files

Frequently asked questions

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