Repository
vllm-project/vllm-skills agent skills
- skills
- 6
- GitHub stars
- 102
GitHub description: “Agent skills for vLLM”
- Stars
- 102 (28 forks)
- Licence
- Apache-2.0
- Last push
- Apr 2026
- Created
- Feb 2026
Install all skills
npx skills add vllm-project/vllm-skillsAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in vllm-project/vllm-skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Run vLLM performance benchmark using synthetic random data to measure throughput, TTFT (Time to First Token), TPOT (Time per Output Token), and other key performance metrics. | vllm-project/ | 102 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 2 | Benchmark vLLM or OpenAI-compatible serving endpoints using vllm bench serve. | vllm-project/ | 102 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 3 | Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. | vllm-project/ | 102 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 4 | Quick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API. | vllm-project/ | 102 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 5 | This is a skill for benchmarking the efficiency of automatic prefix caching in vLLM using fixed prompts, real-world datasets, or synthetic prefix/suffix patterns. | vllm-project/ | 102 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 6 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |
Questions, answered from the data.
What is the best skill in vllm-project/vllm-skills?
Vllm Bench Random Synthetic from vllm-project/vllm-skills ranks first of the 6 skills in vllm-project/vllm-skills listed here, with the highest score: its repository has 102 GitHub stars, its SKILL.md loads about 1.5k tokens and it passes the automated safety check with no findings. Next come Vllm Bench Serve and Vllm Deploy K8s.
Are the skills in vllm-project/vllm-skills official?
None yet. All 6 skills in vllm-project/vllm-skills 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 vllm-project/vllm-skills?
Run npx skills add vllm-project/vllm-skills 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.