GitHub user
Agent skills by guqiong96
- skills
- 5
- repositories
- 2
Repositories by guqiong96
- LvllmLvLLM is a special NUMA extension of vllm that makes full use of CPU and memory resources, reduces GPU memory requirements, and features an efficient GPU parallel and NUMA parallel architecture, supporting hybrid inference for MOE large models.464 stars · 3 skills
- LsglangLsglang is a special extension of sglang that fully utilizes CPU and GPU computing resources with an efficient GPU parallel + NUMA parallel architecture, suitable for MOE model hybrid inference.143 stars · 2 skills
Skills by guqiong96, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Fetch and diagnose vLLM Buildkite CI failure logs. An agent skill from guqiong96/Lvllm. | guqiong96/ | 464 | 2 repos | ~349 | Automated safety check: Pass | Apache-2.0 | 16 days ago |
| 2 | Build, debug, and interpret vLLM GPU kernel microbenchmarks for CUDA, Triton, and CuteDSL, including CUPTI timing, correctness checks, generated-code inspection, multi-GPU measurements, and SOL… | guqiong96/ | 464 | 2 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | 16 days ago |
| 3 | Clean up noisy startup warnings and spurious prints in SGLang server logs. | guqiong96/ | 143 | 1 repo | ~4.5k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 4 | Write or review Triton kernels for vLLM, with practical guidance for generated-code inspection, launch grids, indexing, specialization, tuning, and representative performance validation. | guqiong96/ | 464 | 1 repo | ~831 | Automated safety check: Pass | Apache-2.0 | 16 days ago |
| 5 | Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jitkernel module | guqiong96/ | 143 | 1 repo | ~10k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
Questions, answered from the data.
What is the best skill by guqiong96?
CI Fails Buildkite from guqiong96/Lvllm ranks first of the 5 skills by guqiong96 listed here, with the highest score: its repository has 464 GitHub stars, 2 other GitHub owners carry a copy, its SKILL.md loads about 349 tokens and it passes the automated safety check with no findings. Next come Kernel Microbenchmark and Clean Startup Log.
Are guqiong96's skills official?
None yet. All 5 skills by guqiong96 listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
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.