Agent Team template
Reads one repository's open issues, drafts an evidence-backed follow-up, pauses on the exact issue comment, posts it once, and returns the comment proof.
One-message setup · 2 specialists · Live after setup
Designed for
Maintainers who want consistent issue updates without giving an agent merge access
Outcome
Post one reviewed follow-up to the configured issue in the selected repository.
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.
Reads the selected GitHub scope and prepares one bounded outcome.
Balanced reasoning model
Performs one typed GitHub action after showing the exact preview.
Structured output 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 GitHub Issue Follow-up Team.
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
Read the selected GitHub context and prepare the smallest useful action.
Post the approved prior Agent output to the configured issue number.
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 Slack-native engineering agent that receives operational requests, gathers context from tickets and repos, routes work to specialist agents, and drafts auditable responses before anything risky happens.
A code review workflow that watches pull requests, assigns specialist reviewers, checks implementation risk, and posts concise review notes with links to evidence.