team-release — community team-release, Claude-Code-Game-Studios, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for AI agents like Claude Code, AutoGPT, and LangChain needing structured team coordination and release management capabilities. Turn Claude Code into a full game dev studio — 48 AI agents, 35 workflow skills, and a complete coordination system mirroring real studio hierarchy.

Donchitos Donchitos
[0]
[0]
Updated: 3/3/2026

Agent Capability Analysis

The team-release skill by Donchitos is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for AI agents like Claude Code, AutoGPT, and LangChain needing structured team coordination and release management capabilities.

Core Value

Empowers agents to orchestrate release teams through a structured pipeline, utilizing workflow skills and a coordination system, while leveraging AskUserQuestion for decision points and approvals, all within a mirrored real studio hierarchy, incorporating release branch management, versioning, and changelog deployment.

Capabilities Granted for team-release

Automating release branch management and versioning
Coordinating quality assurance testing with qa-lead subagents
Streamlining deployment processes through a structured pipeline

! Prerequisites & Limits

  • Requires user approval at each phase transition
  • Dependent on AskUserQuestion functionality for decision points
  • Mirrors real studio hierarchy, which may require customization for unique team structures
Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

team-release

Install team-release, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

When this skill is invoked, orchestrate the release team through a structured pipeline.

Decision Points: At each phase transition, use AskUserQuestion to present the user with the subagent's proposals as selectable options. Write the agent's full analysis in conversation, then capture the decision with concise labels. The user must approve before moving to the next phase.

Team Composition

  • release-manager — Release branch, versioning, changelog, deployment
  • qa-lead — Test sign-off, regression suite, release quality gate
  • devops-engineer — Build pipeline, artifacts, deployment automation
  • producer — Go/no-go decision, stakeholder communication, scheduling

How to Delegate

Use the Task tool to spawn each team member as a subagent:

  • subagent_type: release-manager — Release branch, versioning, changelog, deployment
  • subagent_type: qa-lead — Test sign-off, regression suite, release quality gate
  • subagent_type: devops-engineer — Build pipeline, artifacts, deployment automation
  • subagent_type: producer — Go/no-go decision, stakeholder communication

Always provide full context in each agent's prompt (version number, milestone status, known issues). Launch independent agents in parallel where the pipeline allows it (e.g., Phase 3 agents can run simultaneously).

Pipeline

Phase 1: Release Planning

Delegate to producer:

  • Confirm all milestone acceptance criteria are met
  • Identify any scope items deferred from this release
  • Set the target release date and communicate to team
  • Output: release authorization with scope confirmation

Phase 2: Release Candidate

Delegate to release-manager:

  • Cut release branch from the agreed commit
  • Bump version numbers in all relevant files
  • Generate the release checklist using /release-checklist
  • Freeze the branch — no feature changes, bug fixes only
  • Output: release branch name and checklist

Phase 3: Quality Gate (parallel)

Delegate in parallel:

  • qa-lead: Execute full regression test suite. Test all critical paths. Verify no S1/S2 bugs. Sign off on quality.
  • devops-engineer: Build release artifacts for all target platforms. Verify builds are clean and reproducible. Run automated tests in CI.

Phase 4: Localization and Performance

Delegate (can run in parallel with Phase 3 if resources available):

  • Verify all strings are translated (delegate to localization-lead if available)
  • Run performance benchmarks against targets (delegate to performance-analyst if available)
  • Output: localization and performance sign-off

Phase 5: Go/No-Go

Delegate to producer:

  • Collect sign-off from: qa-lead, release-manager, devops-engineer, technical-director
  • Evaluate any open issues — are they blocking or can they ship?
  • Make the go/no-go call
  • Output: release decision with rationale

Phase 6: Deployment (if GO)

Delegate to release-manager + devops-engineer:

  • Tag the release in version control
  • Generate changelog using /changelog
  • Deploy to staging for final smoke test
  • Deploy to production
  • Monitor for 48 hours post-release

Phase 7: Post-Release

  • release-manager: Generate release report (what shipped, what was deferred, metrics)
  • producer: Update milestone tracking, communicate to stakeholders
  • qa-lead: Monitor incoming bug reports for regressions
  • Schedule post-release retrospective if issues occurred

Output

A summary report covering: release version, scope, quality gate results, go/no-go decision, deployment status, and monitoring plan.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is team-release?

Ideal for AI agents like Claude Code, AutoGPT, and LangChain needing structured team coordination and release management capabilities. Turn Claude Code into a full game dev studio — 48 AI agents, 35 workflow skills, and a complete coordination system mirroring real studio hierarchy.

How do I install team-release?

Run the command: npx killer-skills add Donchitos/Claude-Code-Game-Studios/team-release. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for team-release?

Key use cases include: Automating release branch management and versioning, Coordinating quality assurance testing with qa-lead subagents, Streamlining deployment processes through a structured pipeline.

Which IDEs are compatible with team-release?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for team-release?

Requires user approval at each phase transition. Dependent on AskUserQuestion functionality for decision points. Mirrors real studio hierarchy, which may require customization for unique team structures.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add Donchitos/Claude-Code-Game-Studios/team-release. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use team-release immediately in the current project.

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