github-release-management
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"
More from ruvnet/agentic-flow
agentdb vector search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
5agentdb advanced features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
4agentdb learning plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
4hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
3agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
3swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
3