Repository
ztxz16/fastllm agent skills
- skills
- 2
- GitHub stars
- 5.1k
GitHub description: “fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型，任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型，单并发20tps；INT4量化模型单并发30tps，多并发可达60+。”
- Stars
- 5,097 (503 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- May 2023
Install all skills
npx skills add ztxz16/fastllmAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in ztxz16/fastllm, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guide for adding Triton-backed CUDA operators to FastLLM. An agent skill from ztxz16/fastllm. | ztxz16/ | 5.1k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 2 | 当用户要求提交代码、整理提交、准备 commit、拆分 commit、push，或指定提交与推送规范时使用。默认使用中文提交信息，将差异较大的改动拆分为多个提交；推送前先执行 fetch、stash、rebase、stash pop，再 push。 | ztxz16/ | 5.1k | — | ~359 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
Questions, answered from the data.
What is the best skill in ztxz16/fastllm?
Fastllm Triton Ops from ztxz16/fastllm ranks first of the 2 skills in ztxz16/fastllm listed here, with the highest score: its repository has 5.1k GitHub stars, its SKILL.md loads about 1.8k tokens and it passes the automated safety check with no findings. Next come Git Commit Zh Split.
Are the skills in ztxz16/fastllm official?
None yet. All 2 skills in ztxz16/fastllm 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 ztxz16/fastllm?
Run npx skills add ztxz16/fastllm 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.