Github Release Management

This orchestrates GitHub releases end-to-end using swarm coordination, meaning multiple AI agents handle versioning, changelog generation, cross-platform builds, testing, and deployment in parallel. You'd reach for it when shipping complex releases that touch multiple platforms (npm, Docker, GitHub) and need coordinated validation across Node versions or architectures. The swarm approach is interesting but adds real complexity. For simple version bumps, you're better off with gh CLI directly. Where it shines is coordinating the tedious stuff: semantic version analysis from commits, breaking change detection, parallel artifact builds, and progressive rollouts with automated rollback hooks. The hierarchical topology with specialized agents (changelog, build, test, deploy) makes sense for large projects where a single-threaded release process becomes a bottleneck.

GitHub stars: 240
last updated: Jun 11, 2026

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Install

$ npx -y skills add spencermarx/open-code-review --skill github-release-management --agent claude-code

Installs into .claude/skills of the current project.

Files

GitHub Release Management Skill

Intelligent release automation and orchestration using AI swarms for comprehensive software releases - from changelog generation to multi-platform deployment with rollback capabilities.

Quick Start

Simple Release Flow

# Plan and create a release
gh release create v2.0.0 \
  --draft \
  --generate-notes \
  --title "Release v2.0.0"

# Orchestrate with swarm
npx claude-flow github release-create \
  --version "2.0.0" \
  --build-artifacts \
  --deploy-targets "npm,docker,github"

Full Automated Release

# Initialize release swarm
npx claude-flow swarm init --topology hierarchical

# Execute complete release pipeline
npx claude-flow sparc pipeline "Release v2.0.0 with full validation"