Pdf Extract Template logo

Pdf Extract Template

Organization
okou-ai
pdf-extract-template

Extract a template skill from a PDF document for filling slots, reusing structure and expression, or applying its visual style. Use when asked to extract a PDF template or its styles, turn a PDF into a Word template, or analyse a PDF's layout.

Overview

Publisherokou-ai
Repositoryokou-skills
Skill namepdf-extract-template
Stars
81
Forks
19
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

    Published by okou-ai on GitHub. Read the source before you install it.

Installation

Install the Pdf Extract Template 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/okou-ai/okou-skills/tree/main/extract-template/pdf
  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/okou-ai/okou-skills.git /tmp/okou-skills
mkdir -p .claude/skills
cp -r /tmp/okou-skills/extract-template/pdf .claude/skills/pdf-extract-template
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Extract Template 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 Pdf Extract Template 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 Pdf Extract Template 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.

Extract a template package from a PDF

Input: one .pdf. Output: a loadable skill package whose instructions and resources match the selected reuse scope.

If the original .docx exists, use ../docx/SKILL.md instead. For slide PDFs, use ../presentation/SKILL.md unless the user requested a document template.

Run every command below from extract-template/pdf/.

Create page images to inspect the document's layout, typography and fillable areas, then choose the reuse scope. Keep the original for text and geometry. Reuse existing source captures; otherwise render once at the original page proportions:

bash
node ../scripts/render-document.mjs --input <source.pdf> --out source-render

Inspect the returned page images; the returned PDF is also available for reference. Use a new output directory for each render.

Choose the reuse scope

Read ../document-reuse.md, choose from representative rendered pages and the user's purpose, then use the matching section below. For style extraction, continue at Style extraction.

Slot filling

Copy the source to package/template.pdf. Write package/SKILL.md with the slot map and filling instructions from the shared guide. For each slot, record its page, meaning and filling format. Use an existing PDF form field's name where available; otherwise record the blank's rectangle and text appearance from the page.

Instruct the skill to fill a copy of template.pdf through its form fields or place text within the recorded blank areas. Keep the original page content and artwork intact; do not reconstruct the page or replace its fixed prose. Render the filled copy to verify the values fit and everything outside the slots remains unchanged. Continue at Publish the source package.

Structure and expression reuse

Copy the source to package/example.pdf. Write package/SKILL.md with the structure and writing rules from the shared guide, including source examples of the phrasing, tone and information order to reuse.

Record the layout of the blocks a new document needs, with their typography, spacing and repeat-or-omit rules. Extract reusable artwork into the package when needed. A PDF is a visual and writing example, not an editable paragraph tree: tell the skill how to compose new content into that layout using the example and packaged assets, allowing the recorded parts to grow or repeat. Identify any wording that stays fixed. Render the result and compare both its layout and expression with the example. Continue at Publish the source package.

Publish the source package

bash
node ../scripts/cover-page.mjs --input <the original .pdf> --out cover.png
bash
npx --yes --package="${CLI_PKG_URL}" okou user-template publish \
  --title "<user-visible template name>" \
  --kind document \
  --source <the original .pdf> \
  --cover cover.png \
  --page-count <pageCount from cover-page.mjs> \
  --package package

Keep the source copy in package/; --source supplies the catalog document and does not replace the files a later run needs. Publish without --cover and --page-count only when cover-page.mjs failed; report what it said. Say the template exists only after the command succeeds, then stop.

Style extraction

Prerequisites

bash
pip install pymupdf
python3 scripts/ensure_pandoc.py --dir ./vendor   # then run the export PATH line it prints

1. Analyse

bash
python3 scripts/analyze_pdf.py <source.pdf> --json styles.json

Read the report:

  • [structure tree] present → take the heading levels in step 3 from it.
  • "No text layer" → OCR the PDF first, then restart.
  • [body candidates] → the chosen group must be running prose. If its sample is a table header, an index or a caption, re-run with --body <rank>.

2. Declare the column count

Inspect the source page images. Re-run step 1 with --columns N.

3. Map the heading levels

Under [inferred styles], decide each group's role from its sample text and write the map:

--map 1=Heading1,2=Title,3=Heading2

Right side: Title, Subtitle, Heading1..Heading9 or skip. The largest group is usually the document title, not Heading1.

4. Settle the margins

Use the suggested row. Where measured disagrees with it by more than rounding, measure the page yourself and pass --top, --right or --left in cm. The bottom margin is never measured. Pass --bottom as:

  • the measured bound, when some page is full to the bottom;
  • for a Typst source with a footer, (page height − footer baseline − 0.73 × footer size) / 0.7, in cm;
  • otherwise the mirror of the top, which suggested already holds.

On a two-column document the two columns must come out the same width.

5. Build

bash
python3 scripts/build_reference.py styles.json reference.docx \
        --map 1=Heading1,2=Title,3=Heading2 [--bottom 2.2 ...]

--map keys are the # column of [inferred styles]. Map every group that is a heading; leave captions and footnotes unmapped.

6. Verify

bash
python3 scripts/verify_roundtrip.py reference.docx styles.json \
        --map 1=Heading1,2=Title,3=Heading2

Same --map as step 5. Exit code must be 0. NOT MEASURED is not a failure.

7. Package

bash
python3 scripts/make_package.py <source.pdf> reference.docx styles.json <out dir> \
        --map 1=Heading1,2=Title,3=Heading2 --body 2 [--bottom 2.2 ...]

Pass every flag used in steps 1–5. The output directory name is the skill name; --name overrides it. Add anything the scripts could not measure to the package's Limits.

Optional: adjust styles, add a header or footer

bash
python3 scripts/set_style.py reference.docx --list
python3 scripts/set_style.py reference.docx "Block Text" --size 10.5 --color 6C757D
python3 scripts/set_style.py reference.docx "Source Code" --create --font Consolas --size 9
python3 scripts/set_header_footer.py reference.docx --header "Company" --footer "Page " --page-number
python3 scripts/set_header_footer.py reference.docx --header 'Title\tv2.3'   # left / right

Then step 6 with --structure-only, then step 7.

8. Publish

bash
node ../scripts/cover-page.mjs --input <source.pdf> --out cover.png
bash
npx --yes --package="${CLI_PKG_URL}" okou user-template publish \
  --title "<user-visible template name>" \
  --kind document \
  --source <source.pdf> \
  --cover cover.png \
  --page-count <pageCount from cover-page.mjs> \
  --package <out dir>

Publish without --cover and --page-count only when cover-page.mjs failed; report what it said. Say the template exists only after the command succeeds.

Rules

  • Reproduce the source. Do not correct an inverted hierarchy or a style left at a default; the package records it.
  • Steps 2–4 are not recorded in the PDF. Settle each against the evidence the step names, never the script's default.
  • The running head and foot are rebuilt from [running head/foot]. If that line lists body text, the source has no header; run set_header_footer.py reference.docx --clear.
  • Change the column layout only when asked.

Troubleshooting

SymptomAction
Every heading level is off by oneRedo step 3 from the sample column
Right margin far too largeNo line fills the column; measure it off a page and pass --right
Single-page PDF gives bad marginsRunning heads cannot be detected; measure all four and pass them
Paragraph metrics implausible, or the body candidate is a tableRe-run step 1 with --body <rank>
Body text splits into several groupsReal difference in size, colour or weight; keep the largest, --map <n>=skip the rest
Space after reads NOT MEASUREDNo paragraph is followed by a paragraph; pandoc's default stays
Heading before/after look offset_style.py --before/--after, then step 6 with --structure-only
Verify fails after a deliberate changeRe-run step 6 with --structure-only
Heading gaps near zero on a multi-column source--columns was not passed; redo step 2
A header or footer added later sits a few points offStep 1 sets the distance from the font's hhea metrics; when it printed no hhea line, install the source's font and rerun, or pass set_header_footer.py --header-distance PT --footer-distance PT (page edge to the line box, baseline − 1.16 × size for Noto Sans CJK)
LibreOffice preview shows a smaller gap above a heading than the sourceExpected. LibreOffice takes the larger of space-after and space-before; Word adds them, and the template is written for Word
Title→Subtitle or Subtitle→Heading gap doubles in WordBoth sides carry the same gap (Word adds them, LibreOffice takes the larger). Zero one side: set_style.py reference.docx "Subtitle" --before 0
A paragraph repeated on every page is listed as a running headBody text in the header band. Pass the margins you measured; the styles are unaffected

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 Pdf Extract Template AI skill do?

Extract a template skill from a PDF document for filling slots, reusing structure and expression, or applying its visual style. Use when asked to extract a PDF template or its styles, turn a PDF into a Word template, or analyse a PDF's layout.

Why use Pdf Extract Template on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/okou-ai/okou-skills/tree/main/extract-template/pdf. 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 Pdf Extract Template?

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 Pdf Extract Template?

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

Is the Pdf Extract Template AI skill free?

It is published on GitHub by okou-ai. 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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