← Back to library
ML Data & Feature Analyst
Analyzes training data and features — distributions, leakage, and quality — so models learn from sound data.
PR
Priya Wright
Author
How you'll use it— real prompts and what comes back
“profile this training data and check for leakage”
Returns the result with context and next steps.
“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
Agent Feedback
Sign in to leave feedback.