team-release▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
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### Team Release
- ›description: "Orchestrate the release team: coordinates release-manager, qa-lead, devops-engineer, and producer to execute a release from candidate to deployment."
- ›argument-hint: "[version number or 'next']"
- ›allowed-tools: Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite
| name | team-release |
| description | "Orchestrate the release team: coordinates release-manager, qa-lead, devops-engineer, and producer to execute a release from candidate to deployment." |
| argument-hint | "[version number or 'next']" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite |
Argument check: If no version number is provided:
- Read
production/session-state/active.mdand the most recent file inproduction/milestones/(if they exist) to infer the target version. - If a version is found: report "No version argument provided — inferred [version] from milestone data. Proceeding." Then confirm with
AskUserQuestion: "Releasing [version]. Is this correct?" - If no version is discoverable: use
AskUserQuestionto ask "What version number should be released? (e.g., v1.0.0)" and wait for user input before proceeding. Do NOT default to a hardcoded version string.
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
- security-engineer — Pre-release security audit (invoke if game has online/multiplayer features or player data)
- analytics-engineer — Verify telemetry events fire correctly and dashboards are live
- community-manager — Patch notes, launch announcement, player-facing messaging
- 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, deploymentsubagent_type: qa-lead— Test sign-off, regression suite, release quality gatesubagent_type: devops-engineer— Build pipeline, artifacts, deployment automationsubagent_type: security-engineer— Security audit for online/multiplayer/data featuressubagent_type: analytics-engineer— Telemetry event verification and dashboard readinesssubagent_type: community-manager— Patch notes and launch communicationsubagent_type: producer— Go/no-go decision, stakeholder communicationsubagent_type: network-programmer— Netcode stability sign-off (invoke if game has multiplayer)
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.
- security-engineer (if game has online features, multiplayer, or player data): Conduct pre-release security audit. Review authentication, anti-cheat, data privacy compliance. Sign off on security posture.
- network-programmer (if game has multiplayer): Sign off on netcode stability. Verify lag compensation, reconnect handling, and bandwidth usage under load.
Phase 4: Localization, Performance, and Analytics
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)
- analytics-engineer: Verify all telemetry events fire correctly on release build. Confirm dashboards are receiving data. Check that critical funnels (onboarding, progression, monetization if applicable) are instrumented.
- Output: localization, performance, and analytics sign-off
Phase 5: Go/No-Go
Delegate to producer:
- Collect sign-off from: qa-lead, release-manager, devops-engineer, security-engineer (if spawned in Phase 3), network-programmer (if spawned in Phase 3), and technical-director
- Evaluate any open issues — are they blocking or can they ship?
- Make the go/no-go call
- Output: release decision with rationale
If producer declares NO-GO:
- Surface the decision immediately: "PRODUCER: NO-GO — [rationale, e.g., S1 bug found in Phase 3]."
- Use
AskUserQuestionwith options:- Fix the blocker and re-run the affected phase
- Defer the release to a later date
- Override NO-GO with documented rationale (user must provide written justification)
- Skip Phase 6 entirely — do not tag, deploy to staging, deploy to production, or spawn community-manager.
- Produce a partial report summarizing Phases 1–5 and what was skipped (Phase 6) and why.
- Verdict: BLOCKED — release not deployed.
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
Delegate to community-manager (in parallel with deployment):
- Finalize patch notes using
/patch-notes [version] - Prepare launch announcement (store page updates, social media, community post)
- Draft known issues post if any S3+ issues shipped
- Output: all player-facing release communication, ready to publish on deploy confirmation
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
- community-manager: Publish all player-facing communication, monitor community sentiment
- analytics-engineer: Confirm live dashboards are healthy; alert if any critical events are missing
- Schedule post-release retrospective if issues occurred
Error Recovery Protocol
If any spawned agent (via Task) returns BLOCKED, errors, or cannot complete:
- Surface immediately: Report "[AgentName]: BLOCKED — [reason]" to the user before continuing to dependent phases
- Assess dependencies: Check whether the blocked agent's output is required by subsequent phases. If yes, do not proceed past that dependency point without user input.
- Offer options via AskUserQuestion with choices:
- Skip this agent and note the gap in the final report
- Retry with narrower scope
- Stop here and resolve the blocker first
- Always produce a partial report — output whatever was completed. Never discard work because one agent blocked.
Common blockers:
- Input file missing (story not found, GDD absent) → redirect to the skill that creates it
- ADR status is Proposed → do not implement; run
/architecture-decisionfirst - Scope too large → split into two stories via
/create-stories - Conflicting instructions between ADR and story → surface the conflict, do not guess
File Write Protocol
All file writes (release checklists, changelogs, patch notes, deployment scripts) are delegated to sub-agents and sub-skills. Each enforces the "May I write to [path]?" protocol. This orchestrator does not write files directly.
Output
A summary report covering: release version, scope, quality gate results, go/no-go decision, deployment status, and monitoring plan.
Verdict: COMPLETE — release executed and deployed. Verdict: BLOCKED — release halted; go/no-go was NO or a hard blocker is unresolved.
Next Steps
- Monitor post-release dashboards for 48 hours.
- Run
/retrospectiveif significant issues occurred during the release. - Update
production/stage.txttoLiveafter successful deployment.
How to use team-release on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add team-release
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches team-release from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate team-release. Access the skill through slash commands (e.g., /team-release) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★54 reviews- ★★★★★Aisha Abebe· Dec 28, 2024
team-release fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hassan Bhatia· Dec 28, 2024
team-release reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Fatima Yang· Dec 28, 2024
Useful defaults in team-release — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Liam White· Dec 16, 2024
team-release is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Anika Patel· Nov 19, 2024
team-release is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aarav Shah· Nov 19, 2024
Registry listing for team-release matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aanya Thomas· Nov 19, 2024
We added team-release from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Anaya Abbas· Nov 7, 2024
team-release fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Rahul Santra· Nov 3, 2024
Keeps context tight: team-release is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Evelyn Flores· Oct 26, 2024
team-release has been reliable in day-to-day use. Documentation quality is above average for community skills.
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