What roles are included in the AI release team?

The team includes a Release Manager for versioning, a QA Lead for testing, a DevOps Engineer for builds, and a Producer for high-level decision making.

Can this skill run tasks in parallel?

Yes, during the Quality Gate and Localization phases, it launches independent subagents (QA and DevOps) simultaneously to optimize the release timeline.

Is this skill specifically for game development?

While designed with a game studio hierarchy in mind, its robust release logic is applicable to any professional software development team requiring structured deployment.

Does it support post-release monitoring?

Yes, the pipeline includes a 48-hour post-release monitoring phase and the generation of a comprehensive release report covering metrics and shipped scope.

How does the Team Release skill handle approvals?

It uses integrated Decision Points where subagents present proposals via the AskUserQuestion tool, requiring explicit user approval before moving between phases.

Team Release Orchestrator

Name: Team Release Orchestrator
Author: Donchitos

byDonchitos

•

Game Development

Orchestrates a specialized team of AI agents to manage the end-to-end software release lifecycle from planning to deployment.

The Team Release skill transforms Claude Code into a comprehensive release management hub by coordinating four specialized subagents: the Producer, Release Manager, QA Lead, and DevOps Engineer. It follows a rigorous 7-phase pipeline that covers release planning, branch management, parallelized quality gates, performance benchmarking, and production deployment. This skill ensures that every release is backed by data-driven Go/No-Go decisions and human-in-the-loop approvals, making it ideal for professional game studios and development teams requiring high-reliability deployment workflows.

Key Features

01Automated release candidate branching, versioning, and changelog generation

02Post-release monitoring and automated retrospective reporting

03Parallelized Quality Gate execution for regression testing and build verification

0445 GitHub stars

05Multi-agent delegation to Release Manager, QA, DevOps, and Producer roles

06Structured 'Go/No-Go' decision framework with stakeholder sign-offs

Use Cases

01Automating the coordination between QA testing and DevOps deployment pipelines

02Managing complex game studio release cycles across multiple platforms and versions

03Scaling release management for large teams using standardized AI-driven workflows

Key Features

01Automated release candidate branching, versioning, and changelog generation

02Post-release monitoring and automated retrospective reporting

03Parallelized Quality Gate execution for regression testing and build verification

0445 GitHub stars

05Multi-agent delegation to Release Manager, QA, DevOps, and Producer roles

06Structured 'Go/No-Go' decision framework with stakeholder sign-offs

Use Cases

01Automating the coordination between QA testing and DevOps deployment pipelines

02Managing complex game studio release cycles across multiple platforms and versions

03Scaling release management for large teams using standardized AI-driven workflows