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AI & LLM Engineering · MLflow
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization. | intertwine/ | 278 | — | ~1.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 2 | Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | 1 repo | ~3.4k | Automated safety check: Pass | Unknown | yesterday |
| 3 | A skill your agent uses when composing the Search(...) call and calling .start(). | NVIDIA/ | 138 | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | 18 days ago |
| 4 | Deep expertise in ML/CV model selection, training pipelines, and inference architecture. | alirezarezvani/ | 117 | — | ~3.1k | Automated safety check: Pass | MIT | 9 mo ago |
| 5 | Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover. | agentsope/ | 436 | — | ~4.4k | Automated safety check: Pass | MIT | 2 days ago |
| 6 | Deep learning framework (PyTorch Lightning / lightning package). | K-Dense-AI/ | 48k | 1 repo | ~2.6k | Automated safety check: Notes | Apache-2.0 | 6 days ago |
| 7 | Data pipelines, feature stores, and embedding generation for AI/ML systems. | ancoleman/ | 525 | — | ~3.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 8 | Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~4.6k | Automated safety check: Pass | Unknown | yesterday |
| 9 | Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 10 | Selects, deploys, and customizes AI models on Amazon SageMaker. | aws/ | 2.8k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 11 | Use this sub-skill for MLflow Models, pyfunc, flavor APIs, signatures, input examples, dependencies, local serving/prediction, and mlflow.evaluate workflows. | VectorSpaceLab/ | 331 | — | ~675 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 12 | Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. | Kilo-Org/ | 190 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 13 | Searches and retrieves MLflow documentation from the official docs site. | Kilo-Org/ | 190 | — | ~666 | Automated safety check: Pass | Apache-2.0 | 12 days ago |