MLOps & model serving

The top-rated launch-quality MLOps & model serving skill for AI agents is trt-perf-analysis (grade B), followed by mcore-run-on-slurm and digital-health-clinical-asr-setup. Skillspace rates 714 MLOps & model serving skills; 185 are launch-quality.

Deploying models, inference servers, GPU infrastructure, feature stores and ML pipelines.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. trt-perf-analysis B
  2. mcore-run-on-slurm B
  3. digital-health-clinical-asr-setup B
  4. deploy-collection B
  5. nemotron-customizer-airgap B
  6. tensorrt-llm B
  7. serving-llms-vllm B
  8. model-selection B
  9. model-pr-history-knowledge B
  10. nvidianim B
  11. vllm-ascend-serving B
  12. webnn B
  13. intel-gpu-device-selection B
  14. onboard-jetpack5-inference-backends B
  15. physicalai-train-exporting-and-validating B
  16. tune-practice-cfg B
  17. vss-sop-build B
  18. deploy-model B
  19. onnx-convert-cca-yuv B
  20. msmodeling-optix-param-recommend B
  21. upload-deployment B
  22. ai-compute-platform-engineer B
  23. perf-torch-sync-free C
  24. trtllm-serve-config-guide C
  25. perf-host-analysis C

Frequently asked questions

What is the best MLOps & model serving skill for AI agents?

The top-rated launch-quality MLOps & model serving skill for AI agents is trt-perf-analysis (grade B), followed by mcore-run-on-slurm and digital-health-clinical-asr-setup. Skillspace rates 714 MLOps & model serving skills; 185 are launch-quality.

How does Skillspace rate MLOps & model serving skills?

Skillspace grades every MLOps & model serving skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are MLOps & model serving skills safe to install?

Of the 714 MLOps & model serving skills Skillspace rates, 636 passed its safety scan and 78 are flagged: 8 for review, 50 as risky and 20 as unsafe. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.