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DevOps & Cloud · By Xilinx
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Phase 2 of LLM deployment — wire the verified Phase 1 kernels into one transformer block on NPU and verify per-layer cosine vs the HF bf16 reference (the shared programmingexamples/llms/verify/… | Xilinx/ | 150 | — | ~3.4k | Automated safety check: Pass | MIT | today |
| 2 | Phase 4 of LLM deployment — apply the shared optimization skillset to a Phase-3-correct prefill pipeline (multi-launch merge, BO pre-loading + intermediate buffer reuse, seq-first layout). | Xilinx/ | 150 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 3 | Phase 5 of LLM deployment — apply the shared optimization skillset to a Phase-4-correct decode pipeline (multi-launch merge with N-way extern rename, static weight BOs, on-device layout). | Xilinx/ | 150 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 4 | Phase 6 of LLM deployment — integrate Phase 4 prefill + Phase 5 decode into a clean <modelinference.py, write the model's verifyadapter.py hooking into the shared programmingexamples/llms/verify/… | Xilinx/ | 150 | — | ~3.5k | Automated safety check: Pass | MIT | today |
| 5 | Phase 7 of LLM deployment — spawn a fresh subagent that treats the deployment as UNTRUSTED, audits the make verify implementation (anti-reward-hacking: confirms the token-set gate runs the… | Xilinx/ | 150 | — | ~2.4k | Automated safety check: Pass | MIT | today |