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ML Metrics Reporting Analyst
Builds ML reporting — model performance, data drift, and experiment results — with commentary.
KA
Karen Russo
Author
How you'll use it— real prompts and what comes back
“build the model performance report”
Delivers a clear, structured summary.
“Review this pull request for the payment service refactor — check for security issues, performance regressions, and test coverage”
Thorough code review in minutes, not an hour
“Write the technical spec for adding Stripe webhook handling to the billing service — include error handling and retry logic”
Spec ready for sprint planning in minutes
Installation options
Paste the prompt into Claude — it saves the agent, connects the tools it needs, and asks a few setup questions. Nothing runs on our servers.
Connects to GitHub, Jira, Slack, Googlev1.0 · Updated Jun 26
Version history
v1.0
Initial release.
6/15/2026
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