b200-gemm-optimization-ladder
b200-gemm-optimization-ladder is an MLOps & model serving skill for AI agents, published by mirage-project in the mirage repository on GitHub. Skillspace rates b200-gemm-optimization-ladder D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user wants to implement from scratch, port, or systematically optimize a B200/Blackwell GEMM. Advances level by level along "correct single tile→K loop→spatial tiling→TMA→multi-stage pipeline→persistent→warp specialization→2-CTA cluster→multi-consumer", with a correctness and performance gate at every level. Not for cases that only want to call a mature BLAS and need no custom fusion/layout.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 2,490
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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