{"repo":"Mapika/nice-figures","free":true,"listed":false,"github":"https://github.com/Mapika/nice-figures","clone":"git clone https://github.com/Mapika/nice-figures.git","description":"Soft-pastel, research-blog-style matplotlib figures as an installable Claude Code plugin.","language":"Python","stars":10,"topics":["charts","claude-code","claude-code-plugin","data-visualization","figures","matplotlib","plotting","python","research"],"license":"MIT","category":"ai-agents","readme_excerpt":"nice-figures A scientific & blog plotting library built for AI agents. It teaches an agent to generate matplotlib figures in a soft-pastel, research-blog visual register — the kind of plot you see in modern ML/alignment write-ups. Bold sans-serif display titles, scatter overlaid with smoothed trends and shaded confidence bands, signature rounded bars, minimal axes, and ↓better badges. White background by default, so the output is conference- and paper-ready (PDFs embed Type 42 fonts, so they pass IEEE/ACM/NeurIPS font checkers). Why agent-first matters in practice: - Recipes, not docs. 16 copy-paste-runnable chart archetypes — every code block is executed in CI, so what the agent copies is never stale. - A self-verification loop. The skill instructs the agent to render the PNG, look at it , and fix what it sees (legend collisions, unlabeled series, clipped bars) before delivering — the failure modes that \"code ran fine\" never catches. - Opinionated defaults over choices. One style, tested helpers ( top legend , plain log ticks , soft colorbar , rounded bars ), and explicit common-mistakes lists, because agents do best when the right thing is the only documented thing. For Claude Code it ships as a plugin with a skill that triggers automatically; any other agent (Codex, Cursor, …) can use it via AGENTS.md and pip install git+https://github.com/Mapika/nice-figures . The style at a glance Multi-panel training curves — scatter under a smoothed trend with a shaded band, minimal ax","default_branch":null,"files":null,"tree":[],"storefront":"/r/Mapika","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Mapika/nice-figures/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}