์Šคํ‚ฌ when-releasing-software-use-github-release-management
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when-releasing-software-use-github-release-management

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Automate software releases with AI agents

Software releases require coordinating version bumps, testing, deployment, and documentation. This skill orchestrates multiple AI agents to handle the entire release workflow automatically. It ensures consistent processes, reduces human error, and provides rollback capabilities.

์ง€์›: Claude Codex Code(CC)
๐Ÿ“Š 69 ์ ์ ˆํ•จ
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"when-releasing-software-use-github-release-management" ์‚ฌ์šฉ ์ค‘์ž…๋‹ˆ๋‹ค. Release version 1.5.0 using the standard workflow

์˜ˆ์ƒ ๊ฒฐ๊ณผ:

  • Release Manager initialized with 5 agents
  • Version determined: 1.5.0 (minor bump for new features)
  • Release branch created: release/v1.5.0
  • Staging deployment successful
  • All 47 tests passed in validation suite
  • Security review completed with no critical findings
  • Changelog generated with 3 features and 5 bug fixes
  • Draft release created on GitHub
  • Go/no-go decision: PROCEED
  • Production deployment started using rolling strategy
  • Deployment healthy - 100 percent rollout complete
  • Release published on GitHub
  • Release branch merged to main

"when-releasing-software-use-github-release-management" ์‚ฌ์šฉ ์ค‘์ž…๋‹ˆ๋‹ค. Create an emergency hotfix for a critical production bug

์˜ˆ์ƒ ๊ฒฐ๊ณผ:

  • Hotfix branch created from v1.4.2 tag
  • Fast-track security review completed
  • Version bumped to 1.4.3-hotfix.1
  • Targeted regression tests passed
  • Emergency approval granted
  • Hotfix deployed to production immediately
  • Hotfix backported to main and develop branches
  • Post-incident documentation created

"when-releasing-software-use-github-release-management" ์‚ฌ์šฉ ์ค‘์ž…๋‹ˆ๋‹ค. Rollback deployment due to high error rate

์˜ˆ์ƒ ๊ฒฐ๊ณผ:

  • Error rate spike detected: 7 percent (threshold exceeded)
  • Rollback decision: TRIGGER
  • Previous version v1.4.2 redeployed
  • Rollback validation: All smoke tests passed
  • Error rates normalized to 0.2 percent
  • Post-mortem scheduled for incident review
  • Action items created to prevent recurrence

๋ณด์•ˆ ๊ฐ์‚ฌ

์•ˆ์ „
v5 โ€ข 1/17/2026

This skill contains only documentation and workflow descriptions - no executable code exists. All referenced scripts (semver.sh, deploy.sh, etc.) are documentation placeholders. Static analysis flagged patterns like shell backticks and cryptographic algorithms because it cannot distinguish between example documentation and actual code. The skill-report.json confirms safe: risk_level is 'safe', is_blocked is false, and safe_to_publish is true. This is a pure prompt engineering skill.

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๋งŒ๋“ค ์ˆ˜ ์žˆ๋Š” ๊ฒƒ

Standard Release Orchestration

Automate major, minor, and patch releases with full testing, staging validation, and production deployment.

Hotfix Emergency Response

Fast-track critical production fixes with expedited approval process and immediate deployment.

Rollback Management

Monitor deployments and automatically trigger rollback when health metrics exceed thresholds.

์ด ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ด ๋ณด์„ธ์š”

Standard Release
Use the GitHub release management skill to release version 2.1.0. Run through the standard release workflow with staging validation and production deployment.
Hotfix Release
Use the GitHub release management skill to create a hotfix for a critical production bug. Fast-track the approval and deploy immediately.
Rolling Deployment
Deploy the new release using a rolling strategy. Monitor health metrics and be ready to rollback if error rate exceeds 5 percent.
Canary Rollout
Deploy the release using canary strategy at 10 percent traffic. Gradually increase to 25 percent, then 50 percent, then full rollout.

๋ชจ๋ฒ” ์‚ฌ๋ก€

  • Run staging validation before any production deployment to catch 80 percent of issues early
  • Use canary or rolling deployments for major releases to minimize blast radius
  • Always test rollback procedures before production deployment

ํ”ผํ•˜๊ธฐ

  • Skipping validation tests to meet release deadlines
  • Deploying without monitoring and health checks configured
  • Releasing without changelog or release notes documentation

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

What AI tools support this skill?
This skill works with Claude, Claude Code, and Codex. It uses MCP tools from claude-flow for agent coordination.
Does this skill deploy to any hosting platform?
No. The skill orchestrates agents but requires your own deployment scripts. The deploy.sh script handles platform-specific deployment.
How does rollback work?
The skill monitors health metrics during deployment. If error rate exceeds thresholds, it triggers rollback to the previous version using rollback.sh.
Is my repository data safe?
Yes. This skill only coordinates agents that follow your existing workflows. No data is sent to external services beyond your configured deployment targets.
What if tests fail during release?
Any validation test failure blocks the release. The skill documents the failure and waits for human investigation before retry or abort.
How is this different from GitHub Actions?
This skill coordinates AI agents that can make decisions and adapt workflows. GitHub Actions runs predefined scripts. They can work together.

๊ฐœ๋ฐœ์ž ์„ธ๋ถ€ ์ •๋ณด

์ž‘์„ฑ์ž

DNYoussef

๋ผ์ด์„ ์Šค

MIT

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main

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