arxiv-figures SKILL.md skillA
arxiv-figures from mathews-tom/armory is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mathews-tom/armory/arxiv-figures@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mathews-tom/armory
- Path
skills/arxiv-figures/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 3, 2026
- Size
- 6,335 bytes
- Repository stars
- 334
- License
- MIT
Optimize and prepare figures for arXiv submission: format conversion (EPS/PDF/PNG/JPG), size reduction, metadata stripping, processor compatibility (DVI vs PDFLaTeX). Triggers on: "optimize figures for arXiv", "reduce figure size", "convert figures for arXiv", "fix arXiv figures", "figure too large", "arxiv image compression". Companion to arxiv-preflight and arxiv-package.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# arXiv Figure Optimizer ## Purpose Analyze, optimize, and convert figures in a TeX/LaTeX project to meet arXiv requirements and size constraints. Produces correctly formatted, efficiently compressed figures that compile without errors. Companion skills: - `arxiv-preflight` — full submission validation - `arxiv-package` — tarball packaging ## Format Rules ### By Processor | Processor | Accepted | Rejected | |-----------|----------|----------| | LaTeX (DVI mode) | `.ps`, `.eps` | `.pdf`, `.png`, `.jpg` | | PDFLaTeX | `.pdf`, `.png`, `.jpg` | `.ps`, `.eps` | ### By Content Type | Content | Optimal Format | Rationale | |---------|---------------|-----------| | Photographs | JPEG | Lossy compression suits continuous tone | | Line drawings / diagrams | PDF (vector) | Scalable, sharp at any resolution | | Plots with text labels | PDF (vector) | Text remains crisp and searchable | | Screenshots / raster art | PNG | Lossless compression for sharp edges | | Mixed photo + text | PNG or PDF | Depends on dominant content | ## Workflow ### 1. Inventory Scan the project for all figures: - Parse `\includegraphics` calls from all `.tex` files …
Read the whole file at its exact version.
How to install
mdr add mathews-tom/armory/arxiv-figures@sha256:937efdb69ff4f87fThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jaricuwwcrepgts6)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 3, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6335 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
mathews-tom/armory · 334 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jaricuwwcrepgts6 GET https://markdownregistry.com/api/v1/resolve?ref=mathews-tom/armory/arxiv-figures GET https://markdownregistry.com/api/v1/blob/937efdb69ff4f87ff25d72fcd006431739845aa1b9ad7ce7cd11ef2bba4f4b07
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.