10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 551 ms

1. 1instrumenting-with-mlflow-tracingverified and signedpassport

   skillmlflow/skillsrecord

   • instrumenting-with-mlflow-tracing

     Instruments Python and TypeScript code with MLflow Tracing for observability. Must be loaded when setting up tracing as part of any workflow including agent evaluation. Triggers on adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, tracing specific frameworks (LangGr

2. 2mlflow-tracingverified and signedpassport

   libraryrecord15,557,879 downloads/month

   • mlflow

   • ai

   • databricks

3. 3mlflowverified and signedpassport

   skillmlflow/skillsrecord

   • mlflow

     Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.

4. 4analyzing-mlflow-traceverified and signedpassport

   skillmlflow/skillsrecord

   • analyzing-mlflow-trace

     Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investig

5. 5mlflowverified and signedpassport

   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

6. 6analyzing-mlflow-sessionverified and signedpassport

   skillmlflow/skillsrecord

   • analyzing-mlflow-session

     Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "w

7. 7querying-mlflow-metricsverified and signedpassport

   skillmlflow/skillsrecord

   • querying-mlflow-metrics

     Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.

8. 8mlflow-agentverified and signedpassport

   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