ccf-visual-composer
ccf-visual-composer is a Scientific data analysis & plotting skill for AI agents, published by mikubaka88 in the CCFA-Skills repository on GitHub. Skillspace rates ccf-visual-composer B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Compose, polish, generate, and QA publication-grade CCF paper figures, tables, captions, palettes, panel maps, Python plotting code, and manuscript visual layout integration from supplied data/results. Use for figure/table layout, visual QA, palette selection, LaTeX figure/table placement, multi-panel design, creative data visualization, data-analysis plots, pie/donut charts, bar charts, volcano plots, correlation heatmaps, composite dashboards, source-data traceability, and making visuals fit naturally in the paper. Do not design experiments, invent results, write manuscript prose as the main task, or perform final submission compliance.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 892
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General academic figure, table and caption composition guidance
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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