Agent Team template
A data-quality workflow that watches analytics schema changes, validates event health, explains metric drift, and opens owner-ready fixes when instrumentation breaks.
One-message setup · 3 specialists · Managed browser · Live after setup
Designed for
Product and growth teams that rely on analytics but do not want broken events silently corrupting decisions
Outcome
Keep analytics events trustworthy by catching schema drift, missing properties, and metric anomalies before teams make decisions from bad data.
Say what should be true when the work is done.
Codelit runs one labeled Sample with no account, model, or external App calls.
Review the evidence, then reuse the same brief with your data when it is useful.
Detects event schema changes and instrumentation drift.
Structured analysis model
Explains how data issues affect product metrics.
Reasoning model
Prepares owner-ready tickets or PR notes.
Code-aware model
Loads the workflow goal, allowed actions, escalation policy, and output contract before the agent plans work.
A workflow skill that captures the operating contract, tool boundaries, and escalation rules for DataSmith: Analytics QA Agent.
Centralizes high-risk action checks for writes, secrets, customer data, billing, deploys, and public communications.
Exposes task resources, prompt templates, connector tools, and audit records behind a permission-aware boundary.
tools · resources · prompts
Compare schema, freshness, and event samples against expectations.
Measure affected dashboards, metrics, and confidence.
Create GitHub issue or Slack handoff with code pointers and test suggestions.
Open it in Codelit and describe the result. Codelit handles common setup while Flow stays available for direct editing and Activity keeps the proof.
Use this teamTurns one scoped release request into a reviewed branch artifact, preview deployment, browser-verified result, pull request, production promotion, and Slack proof using the accounts the team already owns.
A controlled workflow for small teams that want an internal agent to answer operational questions, create tickets, inspect connected apps, and prepare approved actions across the company stack.
A code-first support agent built around specialist ownership, function tools, MCP resources, guardrails, traces, and eval loops so customer answers can move fast without leaking account state.