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AI & LLM Engineering · MLflow

13 skills found.
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1

Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization.

intertwine/dspy-agent-skills278—~1.5kAutomated safety check: PassMIT1 mo ago
2

Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills3451 repo~3.4kAutomated safety check: PassUnknownyesterday
3

A skill your agent uses when composing the Search(...) call and calling .start().

NVIDIA/CompileIQ138—~2.2kAutomated safety check: NotesApache-2.018 days ago
4

Deep expertise in ML/CV model selection, training pipelines, and inference architecture.

alirezarezvani/claude-cto-team117—~3.1kAutomated safety check: PassMIT9 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/SkillAlchemy436—~4.4kAutomated safety check: PassMIT2 days ago
6

Deep learning framework (PyTorch Lightning / lightning package).

K-Dense-AI/scientific-agent-skills48k1 repo~2.6kAutomated safety check: NotesApache-2.06 days ago
7

Data pipelines, feature stores, and embedding generation for AI/ML systems.

ancoleman/ai-design-components525—~3.5kAutomated safety check: PassMIT10 mo ago
8

Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills345—~4.6kAutomated safety check: PassUnknownyesterday
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/skills3.6k—~4.2kAutomated safety check: NotesApache-2.0yesterday
10
10.AWS AI MLOfficial

Selects, deploys, and customizes AI models on Amazon SageMaker.

aws/agent-toolkit-for-aws2.8k—~2.1kAutomated safety check: PassApache-2.0yesterday
11

Use this sub-skill for MLflow Models, pyfunc, flavor APIs, signatures, input examples, dependencies, local serving/prediction, and mlflow.evaluate workflows.

VectorSpaceLab/AREX-Skill331—~675Automated safety check: PassApache-2.01 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/kilo-marketplace190—~3.2kAutomated safety check: PassApache-2.012 days ago
13

Searches and retrieves MLflow documentation from the official docs site.

Kilo-Org/kilo-marketplace190—~666Automated safety check: PassApache-2.012 days ago