Agent skill

Prettify PDF

by aiskillstore in aiskillstore/marketplace

Redesign or QA PDFs for clarity while preserving IDs, dates, amounts, barcodes, QR codes, seals, signatures, labels, and meaning.

MITAuto-check passedDocuments & Office

Install Prettify PDF

skills CLI
$ npx skills add aiskillstore/marketplace --skill prettify-pdf -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiskillstore/marketplace prettify-pdf --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sethupavan12/prettify-pdf .claude/skills/prettify-pdf && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prettify-pdf
GitHub stars
430
Token cost
~1.8k tokens
SKILL.md length
960 words
Files
23 (incl. scripts, references)
Skills in repo
1,044
Repo updated
First seen
Licence
MIT

At a glance

Redesign or QA PDFs for clarity while preserving IDs, dates, amounts, barcodes, QR codes, seals, signatures, labels, and meaning.

  • Works in 5 steps: Inspect the source PDF before designing. → Build a preservation list. → Design the reader path. → …
  • Tasks that involve PDF
  • SKILL.md covers Core Idea, Compatibility, Workflow and Output Expectations, plus 3 more sections
  • Calls python

What it does

Prettify PDF is an agent skill from aiskillstore/marketplace. Redesign or QA PDFs for clarity while preserving IDs, dates, amounts, barcodes, QR codes, seals, signatures, labels, and meaning. Use for receipts, invoices, forms, tickets, resumes, reports.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 26 other files, including scripts and reference files (for example `CHANGELOG.md`, `CODE_OF_CONDUCT.md` and `CONTRIBUTING.md`).

It sits in Documents & Office, covering PDF and Forms and invoices. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.

When your agent uses it

  • Tasks that involve PDF
  • Tasks that involve Forms and invoices

Example prompts

  • “/prettify-pdf”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Inspect the source PDF before designing.
  2. Build a preservation list.
  3. Design the reader path.
  4. Redesign conservatively.
  5. Validate before delivery.

What it can do on your machine

Read from SKILL.md and the folder at commit 755bc35. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prettify PDF loads about 1.8k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 960 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aiskillstore/marketplace at commit 755bc35, republished under its MIT licence (© aiskillstore). 960 words, ~1,810 tokens.

Download SKILL.mdSave it as .claude/skills/prettify-pdf/SKILL.md (or your agent's skills folder). This skill also uses 22 other files; get the full folder from GitHub.
name
prettify-pdf
description
Redesign or QA PDFs for clarity while preserving IDs, dates, amounts, barcodes, QR codes, seals, signatures, labels, and meaning. Use for receipts, invoices, forms, tickets, resumes, reports.
license
MIT

Prettify PDF

Core Idea

Redesign the PDF around what the reader needs to notice first, while treating the source PDF as evidence. The work is not "make it pretty"; it is "make it easier to use without changing what it means."

This skill has no hosted service, API key, or model-provider requirement. Use whatever local PDF, image, HTML, or document tools are available in the current environment.

Compatibility

This is a pure Agent Skill. It should work in any agent environment that can read SKILL.md and optionally run local scripts. No OpenAI, Anthropic, hosted model, API key, MCP server, web app, or cloud service is required.

Workflow

  1. Inspect the source PDF before designing.

    • Extract text when possible.
    • Render pages to images and visually inspect layout.
    • Extract embedded images when possible, especially QR codes, barcodes, logos, seals, stamps, and signatures.
    • If scripts/pdf_guardrails.py is available and PyMuPDF is installed, run it to create a source manifest.
  2. Build a preservation list.

    • Lock identifiers: application numbers, receipt numbers, invoice numbers, UID values, transaction IDs, bank references, booking IDs, license numbers, tax IDs.
    • Lock operational facts: dates, times, deadlines, amounts, totals, addresses, locations, required documents, eligibility rules, legal notes.
    • Lock personal and organization facts: names, parent names, company names, offices, contact details, titles, certifications.
    • Lock machine-readable assets as source images: QR codes, barcodes, verification marks, seals, signatures, stamps, official logos.
    • Preserve source labels unless the mapping is unambiguous. If the source puts two name lines under Applicant Name, keep both under Applicant Name; do not infer Father, Guardian, Owner, or another relationship from position alone.
    • Preserve capitalization, punctuation, separators, and spacing inside locked values. Do not add currency prefixes, normalize comma spacing, title-case text, or otherwise "clean up" a locked field unless the source already contains that form.
  3. Design the reader path.

    • Put the most important facts in a top summary strip or priority cards.
    • For appointments: show date, time, place, required arrival/action, applicant, and reference number first.
    • For receipts/invoices: show amount, receipt/invoice number, date, payee/office, transaction references, and fee/line-item breakdown first.
    • For resumes: show name, target role, contact, strongest proof points, skills, and recent experience first.
    • For proposals/reports: show title, client/audience, objective, decision points, timeline, and next action first.
  4. Redesign conservatively.

    • Copy locked values exactly. If a friendlier interpretation helps, add it next to the original value instead of replacing it.
    • Keep original headers and issuing-agency text visible unless the user explicitly asks to remove them.
    • Never let icons, labels, captions, seals, or decorative elements share the same visual space as values. Give every ID, date, time, amount, and name its own stable box or row with enough width for the longest expected value.
    • Preserve QR/barcode/logo/seal/signature/stamp images exactly. Do not recreate, recolor, crop, filter, blur, or trace them.
    • Use clear labels so the reader does not infer meaning from raw tables.
    • Use color semantically: strong header color for identity, green or similar for paid/success/total, amber for warnings/arrival/deadlines, neutral body text.
    • Use small icons only as scanning aids, never as a replacement for visible text labels.
    • Keep typography readable and print-safe. Use stable page dimensions, margins, and spacing.
  5. Validate before delivery.

    • Render the final PDF to images and inspect every page.
    • Check all locked values from the preservation list are present exactly.
    • Confirm machine-readable assets are visible and unchanged from the source.
    • Confirm no text is clipped, overlapping, too low contrast, or ambiguous.
    • Compare a rendered image of the source and a rendered image of the final PDF visually. Ask the active vision-capable model, a reviewer, or the user-facing LLM view to identify any discrepancy in names, IDs, dates, times, amounts, table values, barcode/QR visibility, and label meaning.
    • Treat any collision, clipped value, ambiguous relabeling, or missing machine-readable asset as a blocking failure even when text extraction says the value is present.
    • Read references/quality-checklist.md for a fuller final pass on sensitive PDFs.
Show full SKILL.md (318 more words)Show less

Output Expectations

Deliver a final redesigned PDF when the user asks for a transformed file. If helpful, also provide the HTML/source artifact used to render it.

In the final response, include:

  • The final PDF path.
  • Any supporting source path, if created.
  • A short verification note naming the critical fields and machine-readable assets checked.
  • A clear limitation if OCR, barcode decoding, or visual rendering could not be performed.

Optional Helper

Use scripts/pdf_guardrails.py when you want a deterministic source manifest:

bash
python scripts/pdf_guardrails.py input.pdf --out /tmp/prettify-pdf-check

It writes extracted text, critical-fact candidates, embedded image assets, and page renders. The script is optional and local-only; it does not call an external service.

Design Rules

  • Preserve exact source values before improving wording.
  • Add helpful context without replacing original text: 10.00AM-11.00AM can be paired with 1 hour appointment window; keep both.
  • Use summary cards for high-value fields, not for every field.
  • Keep tables for line items, totals, transaction references, or structured data.
  • Prefer system fonts unless the user provides a brand/type direction.
  • Keep icons small, simple, and paired with text.
  • Avoid decorative effects that reduce trust: heavy gradients, low-contrast text, blurred backgrounds, fake stamps, fake signatures, fake QR codes.
  • Never invent missing fields. Omit unknown values or mark them only if the source explicitly marks them.

Common Pitfalls

  • A visually nicer PDF that loses the barcode is worse than the original.
  • Reformatting IDs can break verification. Copy them exactly.
  • "Cleaning up" timestamps, names, totals, or addresses can change meaning. Add a friendly hint beside the exact value instead.
  • Relabeling an adjacent value can change identity. If the source label is unclear, keep the original label/value grouping instead of inventing a better-sounding label.
  • Text extraction can pass while the PDF is visually wrong. Final acceptance depends on rendered-page inspection, not extraction alone.
  • A beautiful hierarchy that hides the next action fails the task.
  • If the source is scanned, OCR may be incomplete. Say so and visually verify the final result.

© aiskillstore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 22 other files (scripts, references) in skills/sethupavan12/prettify-pdf of aiskillstore/marketplace.

  • SKILL.md
  • CHANGELOG.md
  • CODE_OF_CONDUCT.md
  • CONTRIBUTING.md
  • LICENSE
  • README.md
  • SECURITY.md
  • agents/default.yaml
  • docs/agent-compatibility.md
  • docs/launch-plan.md
  • docs/publishing-directories.md
  • docs/quality-gates.md
  • docs/release-checklist.md
  • docs/usage-claude-openclaw.md
  • evals/evals.json
  • examples/prompts.md
  • pyproject.toml
  • … and 6 more

Open the folder on GitHubat commit 755bc35

Compare with similar skills

Prettify PDF next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prettify PDF compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prettify PDF this skillaiskillstore/marketplace430—~1.8kAutomated safety check: PassMIT
Code2mediatsingliuwin/autoclaw283—~956Automated safety check: PassMIT
Reportlabjimmc414/Kosmos5951 repos~4.2kAutomated safety check: PassNone
PDF ReadingWide-Moat/open-computer-use1261 repos~2.7kAutomated safety check: PassProprietary
PDF Processing Toolkittelagod/code-abyss243—~532Automated safety check: NotesMIT
Document Converter Suitedkyazzentwatwa/chatgpt-skills115—~386Automated safety check: PassNone

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Questions about Prettify PDF

What does Prettify PDF do?

Redesign or QA PDFs for clarity while preserving IDs, dates, amounts, barcodes, QR codes, seals, signatures, labels, and meaning. Prettify PDF is an agent skill from aiskillstore/marketplace. Redesign or QA PDFs for clarity while preserving IDs, dates, amounts, barcodes, QR codes, seals, signatures, labels, and meaning.

When should I use Prettify PDF?

Prettify PDF fits situations like: tasks that involve PDF; tasks that involve Forms and invoices.

How do I install Prettify PDF in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill prettify-pdf -a claude-code`. Or copy the skill folder (skills/sethupavan12/prettify-pdf in aiskillstore/marketplace) into .claude/skills/prettify-pdf in your project. Claude Code loads it when a task matches its description.

How do I install Prettify PDF in Codex?

Run `npx skills add aiskillstore/marketplace --skill prettify-pdf -a codex`. Or copy the skill folder (skills/sethupavan12/prettify-pdf in aiskillstore/marketplace) into .agents/skills/prettify-pdf in your project. Codex loads it when a task matches its description.

Can I use Prettify PDF in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill prettify-pdf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prettify-pdf, .gemini/skills/prettify-pdf, .github/skills/prettify-pdf and .opencode/skills/prettify-pdf in your project.

What does Prettify PDF need to run?

Going by SKILL.md and its folder, Prettify PDF needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Prettify PDF access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prettify PDF safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Prettify PDF use?

Prettify PDF is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prettify PDF use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 900 tokens, read only when the agent opens those files.

What are the alternatives to Prettify PDF?

Skills that share tags, products or a category with Prettify PDF: Code2media (tsingliuwin/autoclaw, 283 stars), Reportlab (jimmc414/Kosmos, 595 stars), PDF Reading (Wide-Moat/open-computer-use, 126 stars) and PDF Processing Toolkit (telagod/code-abyss, 243 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prettify PDF?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 9, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.