figure-pipeline
figure-pipeline is a Scientific data analysis & plotting skill for AI agents, published by Zaoqu-Liu in the ScienceClaw repository on GitHub. Skillspace rates figure-pipeline D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Five-step figure generation pipeline inspired by PaperVizAgent (Google Research, 2026). Orchestrates Retriever → Planner → Stylist → Visualizer → Critic stages for publication-quality scientific figures. Retrieves reference figures from literature, plans layout and composition, applies journal-specific styling, generates the figure, then critiques and refines. Use when the user needs high-quality figures for papers/presentations and wants a more deliberate, reference-driven approach than direct code generation. Especially useful for multi-panel figures and complex data visualizations.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 56
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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