triton
triton is an MLOps & model serving skill for AI agents, published by TongmingLAIC in the AKO4X repository on GitHub. Skillspace rates triton C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Triton DSL reference for kernel writers — num_warps/num_stages choice, the small-N fp8 MMA-throughput regression, split-K reduce tile form, deterministic tl.join/permute concat (tl.cat is not order-stable), autotune + .triton_cache pitfalls, and the Triton PDL binding. Use whenever writing or tuning a Triton kernel; first stop before guessing tile shapes or pipeline depth.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 60
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.