svg-scientific-figures
svg-scientific-figures is a Diagrams & infographics skill for AI agents, published by Zaoqu-Liu in the ScienceClaw repository on GitHub. Skillspace rates svg-scientific-figures D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Generate editable SVG scientific illustrations (mechanism diagrams, signaling pathways, workflow figures) directly from LLM text output. Uses a Review-Refine loop inspired by AutoFigure (ICLR 2026). Outputs editable SVG files compatible with draw.io, Illustrator, and PowerPoint, plus PNG renders. Use when the user needs mechanism diagrams, pathway illustrations, experimental workflow figures, or any schematic that should be editable. Complements the existing Gemini-based scientific-diagram-generation skill (which produces non-editable PNG).
- Grade
- D
- Quality
- 66 / 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
- 96 / 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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