10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 453 ms
libraryrecord25,850,354 downloads/month
- mlflow
- ai
- databricks
skillorchestra-research/ai-research-skillsrecord
- mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
- mlflow
skillmlflow/skillsrecord
- mlflow-agent
Master dispatcher for all MLflow workflows. Use this skill when the user wants to do anything with MLflow — tracing, evaluating, debugging, or improving an agent. Routes to the right MLflow sub-skill automatically. Triggers on: "use mlflow", "help with mlflow", "mlflow agent", "add mlflow to my proj
- mlflow-agent
skillmlflow/skillsrecord
- mlflow
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
- mlflow
skillmlflow/skillsrecord
- searching-mlflow-docs
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs
- searching-mlflow-docs
skillmlflow/skillsrecord
- mlflow-onboarding
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. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the use
- mlflow-onboarding
- 7MLflow MCP Serverfound in code, not yet checkedno passport yet
MCP serverkkruglik/mlflow-mcp
- health
Check MLflow server health and connectivity
- health
- 8MLflow MCP Serverfound in code, not yet checkedno passport yet
MCP serveriRahulPandey/mlflowMCPServer
- get_system_info
Get information about the MLflow tracking server and system.
- get_system_info
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.