Figure

What it does

When your agent uses it

• Produce publication-quality figures with perfect LaTeX symbol rendering and agent-friendly iteration
• Tasks that involve LaTeX
• Tasks that involve Image generation

Example prompts

• “/figure”

Requirements

• Python 3
• A Bash shell
• A credential in GEMINI_API_KEY
• Compatibility (from SKILL.md): Requires pdflatex + pdftoppm on PATH. Python 3.10+ with google-genai, rembg[cpu], Pillow. GEMINI_API_KEY env var for raster generation.
• Pre-approved tools (allowed-tools): Bash(python:*), Bash(pdflatex:*), Bash(pdftoppm:*), Bash(pdfimages:*)

What it can do on your machine

Read from SKILL.md and the folder at commit 9f77cef. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash(python:*)
  • Bash(pdflatex:*)
  • Bash(pdftoppm:*)
  • Bash(pdfimages:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 4 files in scripts/ (Python and Shell, from the files we listed), which the agent can run.

  Shell commands in SKILL.md call:

  • python
  • pip

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

• Network

  No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

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

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • GEMINI_API_KEY

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

• Compatibility

  Requires pdflatex + pdftoppm on PATH. Python 3.10+ with google-genai, rembg[cpu], Pillow. GEMINI_API_KEY env var for raster generation.

  From compatibility in the SKILL.md frontmatter.

Context cost

Figure loads about 1.2k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 246 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~120

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~4.6k

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

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 Muuuun/luxas at commit 9f77cef, republished under its MIT licence (© Muuuun). 246 words, ~1,161 tokens.

name

figure

description

Hybrid figure pipeline (Nano Banana raster + rembg background removal + TikZ vector assembly). Includes a TikZ template library covering quantum circuits (quantikz), Feynman diagrams (tikz-feynman), circuits (circuitikz), molecules (chemfig), 2D/3D plots (pgfplots), energy-level diagrams, phase-space trajectories, optical setups, and pulse sequences. Use this skill to produce publication-quality figures with perfect LaTeX symbol rendering and agent-friendly iteration.

allowed-tools

Bash(python:*), Bash(pdflatex:*), Bash(pdftoppm:*), Bash(pdfimages:*)

compatibility

Requires pdflatex + pdftoppm on PATH. Python 3.10+ with google-genai, rembg[cpu], Pillow. GEMINI_API_KEY env var for raster generation.

┌─────────────────────────────────────────────────────────────────┐
│  What are you drawing?                          │ Backend       │
├─────────────────────────────────────────────────┼───────────────┤
│  Data plot (lines, bars, heatmaps from data)    │ pgfplots      │
│  Quantum circuit (Hadamard, CNOT, measure)      │ quantikz      │
│  Feynman diagram                                │ feynman       │
│  Molecule / Lewis structure                     │ chemfig       │
│  Electronic circuit (op-amp, RLC)               │ circuitikz    │
│  Atomic energy levels + transitions             │ energy_levels │
│  Phase-space trajectory                         │ phase_space   │
│  Pulse sequence (NMR / qubit timing)            │ pulse_sequence│
│  Optical bench cartoon (2D, flat)               │ optical_setup │
│  Concept schematic with textured 3D objects     │ HYBRID        │
│    (Paul trap, cavity, apparatus, animal etc.)  │               │
└─────────────────────────────────────────────────────────────────┘

1. decide which elements are raster (3D/textured/glossy) vs vector (everything else)
2. for each raster element:
     python skills/figure/scripts/hybrid_gen.py \
       --name <outName>  --prompt "<object spec>"  --style "<style suffix>" \
       --out assets/<outName>.png
   → generates isolated-object PNG on white bg, then rembg → transparent PNG
3. write figure_X.tex starting from skills/figure/templates/<best>.tex
     - \includegraphics{assets/<outName>.png} for raster slots
     - TikZ \draw \node for all labels, arrows, equations
4. compile:    pdflatex figure_X.tex
   preview:    pdftoppm -r 200 figure_X.pdf preview -png
5. Read preview-1.png (vision) → find issues → edit .tex → recompile (≤3 iters)
6. final output: figures/figure_X.{tex,pdf}

cd skills/figure
pip install -r scripts/requirements.txt
export GEMINI_API_KEY=...   # if not already set

© Muuuun, 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 30 other files (scripts, references) in skills/figure of Muuuun/luxas.

• SKILL.md
• references/decision_tree.md
• references/levelspec_schema.md
• references/palettes.md
• references/pitfalls.md
• scripts/hybrid_gen.py
• scripts/levelspec
• scripts/requirements.txt
• scripts/sync_style_guides.sh
• style_guides/README.md
• style_guides/_default.md
• style_guides/biology.md
• style_guides/chemistry.md
• style_guides/earth.md
• style_guides/ml.md
• style_guides/physics.md
• style_guides/policy.md
• templates
• … and 13 more

Open the folder on GitHubat commit 9f77cef