When you screenshot a figure from a NeurIPS paper and want your own data plotted in that exact visual style, this skill runs a three-agent loop: a preprocessor crops the reference image, a drawer writes matplotlib code matching the style, and a vision-only reviewer audits the output against the reference without seeing your data. It iterates up to six times or until the reviewer says ship. The output is a self-contained Python script with embedded data and a type-42 PDF. It explicitly does not trigger on generic matplotlib requests, only when you provide both a reference image and your own data. The architecture is careful about separating style transfer from layout cloning, so it matches colors and typography without copying axis limits that don't fit your numbers.
npx -y skills add vila-lab/figmirror --skill figmirror --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
metabase/metabase
metabase/metabase
telagod/code-abyss
github/awesome-copilot
UKGovernmentBEIS/inspect_evals
addyosmani/agent-skills