Repository
wahyudesu/Fastapi-AI-Production-Template agent skills
- skill
- 1
- GitHub stars
- 114
GitHub description: “Simple starter template for your ML/AI projects (uv package manager, RestAPI with FastAPI and Dockerfile support)”
- Stars
- 114 (14 forks)
- Licence
- MIT
- Last push
- Apr 2026
- Created
- May 2025
- ai
- fastapi
- fastapi-boilerplate
- fastapi-template
- machine-learning
- python
Install all skills
npx skills add wahyudesu/Fastapi-AI-Production-TemplateAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in wahyudesu/Fastapi-AI-Production-Template, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses for GPU-accelerated machine learning on tabular data using NVIDIA cuML. | wahyudesu/ | 114 | — | ~1.8k | Automated safety check: Pass | MIT | 5 mo ago |
Questions, answered from the data.
What is the best skill in wahyudesu/Fastapi-AI-Production-Template?
Cuml Machine Learning from wahyudesu/Fastapi-AI-Production-Template ranks first of the 1 skills in wahyudesu/Fastapi-AI-Production-Template listed here, with the highest score: its repository has 114 GitHub stars, its SKILL.md loads about 1.8k tokens and it passes the automated safety check with no findings.
Are the skills in wahyudesu/Fastapi-AI-Production-Template official?
None yet. All 1 skills in wahyudesu/Fastapi-AI-Production-Template 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 wahyudesu/Fastapi-AI-Production-Template?
Run npx skills add wahyudesu/Fastapi-AI-Production-Template 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.