agent-capabilities
CommandMatrix of agent capabilities and their specializations.
This document describes all GitHub integration modes available in Claude-Flow with ruv-swarm coordination. Each mode is optimized for specific GitHub workflows and includes batch tool integration for maximum efficiency.
$ npx -y skills add ruvnet/agentic-flow --agent claude-code
This document describes all GitHub integration modes available in Claude-Flow with ruv-swarm coordination. Each mode is optimized for specific GitHub workflows and includes batch tool integration for maximum efficiency.
**GitHub workflow orchestration and coordination**
**Pull request management and review coordination**
**Issue management and project coordination**
**Release coordination and deployment**
**Repository structure and organization**
**Automated code review and quality assurance**
**Branch management and workflow coordination**
**Multi-package synchronization**
**CI/CD pipeline coordination**
**Security and compliance management**
/github pr-manager "Review and merge feature/new-integration branch with automated testing and multi-reviewer coordination"
/github sync-coordinator "Synchronize claude-code-flow and ruv-swarm packages, align versions, and update cross-dependencies"
/github issue-tracker "Create and manage integration issues with automated progress tracking and swarm coordination"
All GitHub modes support batch operations for maximum efficiency:
[Single Message with BatchTool]:
Bash("gh issue create --title 'Feature A' --body '...'")
Bash("gh issue create --title 'Feature B' --body '...'")
Bash("gh pr create --title 'PR 1' --head 'feature-a' --base 'main'")
Bash("gh pr create --title 'PR 2' --head 'feature-b' --base 'main'")
TodoWrite { todos: [todo1, todo2, todo3] }
Bash("git checkout main && git pull")All GitHub modes can be enhanced with ruv-swarm coordination:
// Initialize swarm for GitHub workflow
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 5 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "GitHub Coordinator" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Code Reviewer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "QA Agent" }
// Execute GitHub workflow with coordination
mcp__claude-flow__task_orchestrate { task: "GitHub workflow", strategy: "parallel" }Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms.
Matrix of agent capabilities and their specializations.
Complete guide to all 54 available agent types in Claude Flow.
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools…
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Implement tasks incrementally — build, test, verify, commit. Add "auto" to run the whole plan in one approved pass.