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.
58
0.98x
Quality
43%
Does it follow best practices?
Impact
73%
0.98xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
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npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/machine-learning-ops/skills/ml-pipeline-workflow/SKILL.mdNo security issues found
Scanned
- Repository
- Dicklesworthstone/pi_agent_rust
- Commit
47823e3
- Audited
- Security analysis
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