Scientific Figure Loop

Scientific Figure Loop is a Data skill for Claude Code, published by gaasher in Agent-Loop-Skills.

166 stars19 forkson gaasher/Agent-Loop-SkillsAdded 2026/09/08+2% in starsRepository updated 2026/06/30

agent-skillsagentic-loopsagentic-workflowsai-agentsanthropicautoresearchclaudeclaude-codedata-analysisliterature-reviewllm-agentsmachine-learningml-autoresearchopen-sourceprompt-engineeringred-teamingscientific-writingskillssubagents

Install in seconds

Install Scientific Figure Loop

Copy Scientific Figure Loop into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/scientific-figure ~/.claude/skills/scientific-figure

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/gaasher/Agent-Loop-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: loops/scientific-figure/SKILL.md in gaasher/Agent-Loop-Skills
Installs to: ~/.claude/skills/scientific-figure
Collection: One of 25 skills cataloged from this repository
Category: Data — 812 skills

What Scientific Figure Loop does

Scientific Figure Loop generates a publication-style scientific figure from data or a brief and iterates on it with an adversarial critic. Use it when you need a figure rendered from scratch, checked against a fixed rubric, and revised until it meets a quality threshold.

Scientific Figure Loop is cataloged under Data on DirSkills. Scientific Figure Loop comes from a repository tagged agent-skills, agentic-loops, agentic-workflows, ai-agents and anthropic.

Documentation

README

Excerpt

Scientific Figure Loop

The artifact is a scientific figure (the rendered image + the plot.py that produces it). Each iteration generates → critiques+grades: a generator authors a rendering script and renders the figure to land the frozen <goals> message; an adversarial critic grades it 0-100 against the fixed rubrics/rubric.md and decides pass; the generator then revises against the critic's concrete findings. The loop runs until the grade clears <pass_threshold> or the budget is hit. All work happens on copies inside a sandbox; the user's data is copied in read-only and never edited.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Scientific Figure Loop

What else does gaasher publish alongside Scientific Figure Loop?
Scientific Figure Loop is one of 25 skills that DirSkills catalogs from gaasher/Agent-Loop-Skills, the repository it ships in. Its siblings there include Alpha Evolve, Anomaly Investigation and Blue Team. Each one is a separate skill with its own page in this directory, installs the same way Scientific Figure Loop does, and is maintained by gaasher in that same repository. The rest of the collection is listed on the gaasher/Agent-Loop-Skills page.
How does Scientific Figure Loop compare to other Data skills?
Scientific Figure Loop ranks #755 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Scientific Figure Loop against them. Open each page to compare what they document and how they install.