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By fla-org
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo. | fla-org/ | 5.8k | — | ~6.3k | Automated safety check: Pass | MIT | today |
| 2 | Disciplined, reproducible loop for making an FLA kernel faster (Triton, Gluon, TileLang, CuTe) without ever breaking or gaming correctness. | fla-org/ | 5.8k | — | ~3.1k | Automated safety check: Pass | MIT | today |
| 3 | Workflow for porting an existing Triton kernel in fla/ops/ to Gluon (triton.experimental.gluon) to gain explicit control over tensor layouts, shared memory, async data movement (cp.async / TMA), MMA… | fla-org/ | 5.8k | — | ~4.2k | Automated safety check: Pass | MIT | today |
| 4 | Guidelines for kernel correctness testing and coverage in fla/ops/ and related modules, including common Triton grid/addressing pitfalls. | fla-org/ | 5.8k | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 5 | Contract-first design and coverage discipline for FLA kernel and numerical changes. | fla-org/ | 5.8k | — | ~3.6k | Automated safety check: Pass | MIT | today |
| 6 | 6.Fla Kda FLA KDA kernel workflow and public technical notes. An agent skill from fla-org/flash-linear-attention. | fla-org/ | 5.8k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 7 | Guidelines for NVIDIA GPU kernel / Triton / Gluon / TileLang / CUDA backend performance work in the FLA repo. | fla-org/ | 5.8k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 8 | Prepare or update an FLA pull request with one concrete purpose, a concise description, verified tests and benchmarks, and justified size exceptions. | fla-org/ | 5.8k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 9 | Change FLA backend registration, dispatch, or verifiers while preserving routing and call contracts. | fla-org/ | 5.8k | — | ~649 | Automated safety check: Pass | MIT | today |