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latex-document

latex-document is a skill for Claude Code, Codex from happycapy-ai/Happycapy-skills. It costs 950 tokens per session (8,138 once invoked), scanned A, original, MIT.

A document-production guide for LaTeX, a system used to create typeset documents such as papers, resumes, reports, and presentations. It can create or convert documents, compile PDFs, and generate image previews.

In plain words
What is it for?
Use it for resumes, reports, letters, invoices, academic papers, theses, presentations, posters, exams, books, and reference sheets, with optional charts, diagrams, citations, tables, watermarks, or generated images.
Why use it?
It organizes the steps needed to produce consistent PDF documents and supports many document types without requiring a separate workflow for each one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool; positional $N argument.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash <skill_path>/scripts/pdf_to_images.sh form.pdf ./tmp/pages.

not rated 139repo +2 9d ago A scan SkillSpector: pass 950 tokens original MIT

Good fit Use it for resumes, reports, letters, invoices, academic papers, theses, presentations, posters, exams, books, and reference sheets, with optional charts, diagrams, citations, tables, watermarks, or generated images.

Compare 6 skills from other repositories ↓
View source ↗ happycapy-ai/Happycapy-skills
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills
agentmods
npx agentmods add skills/happycapy-ai/happycapy-skills/latex-document

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for latex-document

README.md
[![agentmods](https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/latex-document/github.svg)](https://agentmods.dev/skills/happycapy-ai/happycapy-skills/latex-document)
Your own site
<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/latex-document"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/latex-document/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for latex-document

Your own site · 80×15
<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/latex-document"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/latex-document.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 950 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,138 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00950 $0.08138
Opus 5 $0.00475 $0.04069
Sonnet 5 $0.00190 $0.01628
Haiku 4.5 $0.00095 $0.00814

Measured 12d ago against content hash 505f565da137, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

latex-document scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/latex-document/SKILL.md · 412 lines

How it starts

The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LaTeX Document Skill

Create any LaTeX document, compile to PDF, and generate PNG previews. Convert PDFs of any type to LaTeX.

Workflow: Create Documents

  1. Determine document type (resume, report, letter, invoice, article, thesis, academic CV, presentation, poster, exam, book, cheat sheet)
  2. If poster: Run the poster sub-workflow (see Poster Sub-Workflow below), then skip to step 5.
  3. If cheat sheet / reference card: Run the cheat sheet sub-workflow (see Cheat Sheet / Reference Card Sub-Workflow below), then skip to step 5.
  4. Ask the user which enrichment elements they want (use AskUserQuestion tool with multiSelect). Offer relevant options based on document type:
    • AI-generated images -- custom illustrations, diagrams, photos (uses generate-image skill)
    • Charts/graphs -- bar, line, pie, scatter, heatmap (pgfplots or matplotlib)
    • Flowcharts/diagrams -- process flows, architecture, decision trees (TikZ or Mermaid)
    • Citations/bibliography -- academic references, footnotes, works cited (BibTeX/biblatex)
    • Tables with data -- comparison matrices, financial data, statistics (booktabs)
    • Watermarks -- DRAFT, CONFIDENTIAL, or company logo background
    • Skip this step for simple documents (cover letters, invoices) or when the user has already specified exactly what they want.
  5. Copy the appropriate template from assets/templates/ or write from scratch
  6. Customize content based on user requirements
  7. Generate external assets based on user's element choices:
    • AI images: python3 <skill_path>/../generate-image/scripts/generate_image.py "prompt" --output ./outputs/figure.png
    • matplotlib charts: python3 <skill_path>/scripts/generate_chart.py <type> --data '<json>' --output chart.png
    • Mermaid diagrams: bash <skill_path>/scripts/mermaid_to_image.sh diagram.mmd output.png
  8. For documents 5+ pages: Review the Long-Form Document Anti-Patterns section and run the Content Generation Checklist before compiling. Key rules: prefer prose over bullets, include global list compaction, escape </> in text mode, vary section formats, limit \newpage, size images at 0.75-0.85 textwidth.
  9. Compile with scripts/compile_latex.sh (auto-detects XeLaTeX for CJK/RTL, glossaries, bibliography)
  10. Show PNG preview to user, deliver PDF

Read the full file on GitHub · 412 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 412 lines · 950 tokens per session scan A 505f565da137

Subscribe to this mod's changes

latex-document is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 9d ago), licensed MIT. It adds 950 tokens to every session and 8,138 once invoked, about $0.0047 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

DocumentsPDF
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