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MLflow · Observability
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring… | pifferologo/ | 129 | 1 repo | ~2.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2 | 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 |
| 3 | A skill your agent uses for debugging DSPy programs, inspecthistory, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking. | OmidZamani/ | 123 | — | ~2.1k | Automated safety check: Warn | MIT | 3 mo ago |
| 4 | A skill your agent uses for MLflow GenAI observability work: tracing, trace search/export, OpenTelemetry, prompts, GenAI datasets/evaluation, scorers/judges, review queues, assessments, and provider… | VectorSpaceLab/ | 331 | — | ~726 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 5 | 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 |