ml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
69
0.98x
Quality
63%
Does it follow best practices?
Impact
73%
0.98xAverage score across 3 eval scenarios
Securityby
Passed
No findings from the security scan
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tessl review fix ./tests/ext_conformance/artifacts/agents-wshobson/machine-learning-ops/skills/ml-pipeline-workflow/SKILL.mdThe canonical home for this skill is ml-pipeline-workflow in wshobson/agents
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- Dicklesworthstone/pi_agent_rust
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