Acroform Writer logo

Acroform Writer

Organization
microsoft
acroform-writer

Use this skill whenever the user wants values written INTO an existing PDF form that lives in the connected SharePoint knowledge source — filling out, completing, populating, or submitting a fillable PDF (application, intake sheet, contract, government form) from data they supply, a spreadsheet row, or the conversation. Triggers include "fill out the job application form", "complete the intake form for [person]", "populate our standard NDA template", and "make this ready to send / non-editable" (flatten). The source form should be found via knowledge search; only ask the user to upload it if knowledge search turns up nothing plausible. different task), and do NOT use it on scanned/image-only PDFs that have no real fillable fields — those need OCR or manual overlay instead, which this skill explicitly detects and reports rather than silently failing.

Overview

Publishermicrosoft
Repositorycat-agent-skills
Skill nameacroform-writer
Stars
95
Forks
115
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Acroform Writer 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/microsoft/cat-agent-skills/tree/main/submissions/acroform-writer
  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/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/acroform-writer .claude/skills/acroform-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acroform Writer 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 Acroform Writer 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 Acroform Writer 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.

Fill an existing PDF's real AcroForm fields with supplied data, and optionally lock the result read-only so it's ready to send or file without further edits. The goal is to write into the document's actual form fields — never to paste text over a rendered page image, which drifts out of alignment the moment a layout differs even slightly from what you assumed.

Instructions

  1. Find the source PDF via knowledge search — do not ask the user to upload it. The blank fillable form (e.g. a job application, intake sheet, or contract template) lives in the connected SharePoint knowledge source, not as a user upload. Let the user refer to it naturally — by form name, topic, or purpose ("the job application form", "our standard NDA template") — and use those cues to search knowledge for the best-matching PDF. If exactly one document is a clear match, proceed with it; only ask a brief clarifying question when the match is genuinely ambiguous (multiple similarly-named forms, or no clear candidate).
  2. Pull the FULL document, not retrieved chunks. A knowledge search only needs to return enough to find the right file — form fields and their full structure can be split or omitted across retrieval chunks. Once the right document is identified, fetch the complete PDF into the sandbox (the SharePoint knowledge source handles this — let it pull the full file down) before doing anything else. Never attempt to reconstruct or fill a form from a partial/chunked view of it.
  3. Collect the values to fill. These come from the conversation, an attached spreadsheet row, or a connector record — collect them into a flat {field_name: value} JSON object. Do not guess field names at this stage; that happens against the PDF's real fields in the next step.
  4. Always list fields first. Run:
    python scripts/fill_form.py list <downloaded_form.pdf>
    This prints every real form field (name, type, current value, and — for checkboxes/radios/dropdowns — the valid states or options). Use this output to map the data you collected in step 3 onto the PDF's actual field names. If this reports no fields found (exit code 1), stop — the PDF has no real AcroForm (commonly a scanned or flattened document already). Tell the user this form isn't fillable this way and don't attempt to fake it by drawing text over the page.
  5. Match data to fields carefully.
    • Checkboxes/radio buttons must be set to one of the exact states values reported in step 4 (typically /Yes and /Off), not true/false.
    • Dropdown/choice fields must use one of the reported options values verbatim.
    • If a value you were given doesn't obviously map to any listed field, do not force it into the closest-sounding one — leave it out and flag it to the user rather than guessing.
  6. Fill (and lock read-only, if the result should be final):
    python scripts/fill_form.py fill <downloaded_form.pdf> <data.json> <output.pdf> [--flatten]
    Add --flatten whenever the output is meant to be a finished, submission- ready document (the common case) so the fields are marked read-only and most viewers treat it as no longer editable. This is a best-effort lock, not true flattening — the AcroForm and field definitions still exist in the file, and a viewer that ignores the read-only flag could still edit them. Leave --flatten off if the user explicitly wants to keep the fields freely editable for further changes later.
  7. Check the JSON result the script prints. It reports fields_filled and any unmatched_fields — data keys that didn't correspond to a real field. Always surface unmatched fields to the user by name; never fill silently and claim full completion if something was dropped.
  8. Hand back the file with a short, honest recap: which form (and, if relevant, where it was sourced from in knowledge), how many fields were filled, whether it was flattened, and any fields left blank or unmatched. Do not paste the filled values back into the chat as a table — the file is the deliverable.

Guardrails

  • Never ask the user to upload the blank form — find it via knowledge search first. Only fall back to asking the user directly for the file if knowledge search turns up nothing plausible at all.
  • Never fill from a partially retrieved/chunked view of the form — always work from the complete downloaded PDF (step 2).
  • Never draw or overlay text on a page image to fake-fill a PDF that has no real form fields — detect that case (step 4) and say so plainly instead.
  • Never invent a value for a field the user didn't supply; leave it blank and say so.
  • Never force a supplied value into a checkbox/radio/dropdown field using anything other than that field's own reported states/options.
  • Don't silently drop unmatched data — always report it.
  • --flatten is about locking the PDF read-only, not about changing any of the entered values — never alter data during that step.

Tone

Precise and matter-of-fact. State plainly what was filled, what wasn't, and why — this skill is often used for documents with real consequences (applications, contracts), so avoid overstating completeness.

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 Acroform Writer AI skill do?

Use this skill whenever the user wants values written INTO an existing PDF form that lives in the connected SharePoint knowledge source — filling out, completing, populating, or submitting a fillable PDF (application, intake sheet, contract, government form) from data they supply, a spreadsheet row, or the conversation. Triggers include "fill out the job application form", "complete the intake form for [person]", "populate our standard NDA template", and "make this ready to send / non-editable" (flatten). The source form should be found via knowledge search; only ask the user to upload it i...

Why use Acroform Writer on TypingMind?

Because you install it once and use it with any model. Acroform Writer 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 Acroform Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/acroform-writer. 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 Acroform Writer?

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 Acroform Writer?

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

Is the Acroform Writer AI skill free?

Yes. It is published on GitHub by microsoft 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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