Repository
ChenLiu-1996/figures4papers agent skills
- skill
- 1
- GitHub stars
- 8.3k
GitHub description: “My Python scripts to make high-quality figures for publications in top AI conferences and journals.”
- Stars
- 8,302 (578 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Apr 2025
- Homepage
- chenliu-1996.github.io
- figures
- python
- icml
- nature-machine-intelligence
- neurips
- llm
- machine-learning
- iclr
- nature
- llm-skills
- skills
- scientific-figure
- acl
- cvpr
- eccv
- emnlp
Install all skills
npx skills add ChenLiu-1996/figures4papersAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in ChenLiu-1996/figures4papers, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with… | ChenLiu-1996/ | 8.3k | — | ~557 | Automated safety check: Pass | Unknown | today |
Questions, answered from the data.
What is the best skill in ChenLiu-1996/figures4papers?
Scientific Figure Making from ChenLiu-1996/figures4papers ranks first of the 1 skills in ChenLiu-1996/figures4papers listed here, with the highest score: its repository has 8.3k GitHub stars, its SKILL.md loads about 557 tokens and it passes the automated safety check with no findings.
Are the skills in ChenLiu-1996/figures4papers official?
None yet. All 1 skills in ChenLiu-1996/figures4papers listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from ChenLiu-1996/figures4papers?
Run npx skills add ChenLiu-1996/figures4papers in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.