Repository
BBuf/AI-Infra-Auto-Driven-SKILLS agent skills
- skills
- 10
- GitHub stars
- 938
- Stars
- 938 (83 forks)
- Licence
- No licence
- Last push
- Oct 2026
- Created
- Apr 2026
Install all skills
npx skills add BBuf/AI-Infra-Auto-Driven-SKILLSAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in BBuf/AI-Infra-Auto-Driven-SKILLS, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Plans and audits Day-0 SGLang support for a new model release: scope, architecture gaps, PR order, validation gates and sanitized public evidence. | BBuf/ | 938 | — | ~2.3k | Automated safety check: Pass | No licence | 6 days ago |
| 2 | Reads SGLang or vLLM startup logs to show where GPU memory went and estimates how many concurrent requests fit at common token lengths. | BBuf/ | 938 | — | ~2.5k | Automated safety check: Pass | No licence | 6 days ago |
| 3 | Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables. | BBuf/ | 938 | — | ~2.8k | Automated safety check: Pass | No licence | 6 days ago |
| 4 | Looks up public original architecture diagrams for named LLM, vision-language, MoE, diffusion and OCR models and returns the image with its source attribution. | BBuf/ | 938 | — | ~1.2k | Automated safety check: Pass | No licence | 6 days ago |
| 5 | Builds an operator-level compute template for an LLM and estimates FLOPs and MFU for a serving shape, with tensor shapes and parallelism what-if checks. | BBuf/ | 938 | — | ~4.5k | Automated safety check: Pass | No licence | 6 days ago |
| 6 | Reviews SGLang changes the way its maintainers do, drawing on a bundled corpus of public PR review threads and a flowchart of how the diff runs. | BBuf/ | 938 | — | ~4.6k | Automated safety check: Pass | No licence | 6 days ago |
| 7 | Adds verified layer guides such as L0 and L1 and compact GPU lanes to an existing Torch Profiler Chrome trace, changing how it looks but not how it ran. | BBuf/ | 938 | — | ~2k | Automated safety check: Pass | No licence | 6 days ago |
| 8 | Breaks LLM torch profiler traces down by forward pass, layer and kernel, with timing tables and Perfetto time ranges for the layers you want to inspect. | BBuf/ | 938 | — | ~3.9k | Automated safety check: Pass | No licence | 6 days ago |
| 9 | Compares SGLang, vLLM, TensorRT-LLM and TokenSpeed on one model and workload, searching server flags to find the best deployment command within a latency SLA. | BBuf/ | 938 | — | ~7.5k | Automated safety check: Pass | No licence | 6 days ago |
| 10 | A skill your agent uses when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence. | BBuf/ | 938 | — | ~1.5k | Automated safety check: Pass | No licence | 6 days ago |
Questions, answered from the data.
What is the best skill in BBuf/AI-Infra-Auto-Driven-SKILLS?
SGLang Model Day-0 Support from BBuf/AI-Infra-Auto-Driven-SKILLS ranks first of the 10 skills in BBuf/AI-Infra-Auto-Driven-SKILLS listed here, with the highest score: its repository has 938 GitHub stars, its SKILL.md loads about 2.3k tokens and it passes the automated safety check with no findings. Next come LLM Serving Capacity Planner and LLM Torch Profiler Trace Analysis.
Are the skills in BBuf/AI-Infra-Auto-Driven-SKILLS official?
None yet. All 10 skills in BBuf/AI-Infra-Auto-Driven-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 BBuf/AI-Infra-Auto-Driven-SKILLS?
Run npx skills add BBuf/AI-Infra-Auto-Driven-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.