nature-figure
nature-figure is a Scientific data analysis & plotting skill for AI agents, published by Yuan1z0825 in the nature-skills repository on GitHub. Skillspace rates nature-figure C (75/100) and it passed the safety scan; a judge model has also reviewed it.
Submission-grade Nature/high-impact journal figure workflow for Python or R, plus optional OpenRouter GPT Image 2 manuscript schematic generation when the user explicitly asks for AI-generated graphical abstracts, concept schematics, mechanism diagrams, or paper schematic illustrations. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, journal-ready SVG/PDF/TIFF outputs, or OpenRouter/API-generated schematic drafts, especially for Nature-family or other high-impact journals. Before plotting or image generation, define the figure's conclusion, evidence logic, export needs, and review risks. For plotting tasks, honor an explicit Python/R choice, otherwise reuse the saved nature-figure backend preference; if no preference exists, ask once whether the user prefers Python or R and save that answer for future calls. For explicit OpenRouter/GPT Image 2 schematic generation, do not ask Python…
- Grade
- C
- Quality
- 75 / 100
- Safety
- Passed
- GitHub stars
- 28,910
Placed #2 of 6 in the judged category final for Scientific data analysis & plotting.
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 2 other repositories, in 1 collections
- Scope
- Portable: works in any project. General scientific figure-making workflow for Python/R, no repo ties.
Judge review
Placed #2 of 6 in the judged category final for Scientific data analysis & plotting.
- Trigger
80 80 - Instructions
90 90 - Specificity
90 90 - Safety
90 90 - Disclosure
95 95 - Maintenance
85 85
A genuinely elegant router that loads only the matched Python/R fragment and remembers the user's choice, plus a good anti-fabrication rule for its AI-schematic branch, though the description is a dense run-on covering two different jobs.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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