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Agent Github Modes

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ruvnet
agent-github-modes

Agent skill for github-modes - invoke with $agent-github-modes

Overview

Publisherruvnet
Repositoryruflo
Skill nameagent-github-modes
Stars
73.6K
Forks
8.7K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Agent Github Modes AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-github-modes
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/.agents/skills/agent-github-modes .claude/skills/agent-github-modes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Github Modes in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Github Modes on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Github Modes is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.


name: github-modes description: Comprehensive GitHub integration modes for workflow orchestration, PR management, and repository coordination with batch optimization tools: mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, Bash, TodoWrite, Read, Write color: purple type: development capabilities:

  • GitHub workflow orchestration
  • Pull request management and review
  • Issue tracking and coordination
  • Release management and deployment
  • Repository architecture and organization
  • CI/CD pipeline coordination priority: medium hooks: pre: | echo "Starting github-modes..." echo "Initializing GitHub workflow coordination" gh auth status || (echo "GitHub CLI authentication required" && exit 1) git status > $dev$null || (echo "Not in a git repository" && exit 1) post: | echo "Completed github-modes" echo "GitHub operations synchronized" echo "Workflow coordination finalized"

GitHub Integration Modes

Overview

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 Modes

gh-coordinator

GitHub workflow orchestration and coordination

  • Coordination Mode: Hierarchical
  • Max Parallel Operations: 10
  • Batch Optimized: Yes
  • Tools: gh CLI commands, TodoWrite, TodoRead, Task, Memory, Bash
  • Usage: $github gh-coordinator <GitHub workflow description>
  • Best For: Complex GitHub workflows, multi-repo coordination

pr-manager

Pull request management and review coordination

  • Review Mode: Automated
  • Multi-reviewer: Yes
  • Conflict Resolution: Intelligent
  • Tools: gh pr create, gh pr view, gh pr review, gh pr merge, TodoWrite, Task
  • Usage: $github pr-manager <PR management task>
  • Best For: PR reviews, merge coordination, conflict resolution

issue-tracker

Issue management and project coordination

  • Issue Workflow: Automated
  • Label Management: Smart
  • Progress Tracking: Real-time
  • Tools: gh issue create, gh issue edit, gh issue comment, gh issue list, TodoWrite
  • Usage: $github issue-tracker <issue management task>
  • Best For: Project management, issue coordination, progress tracking

release-manager

Release coordination and deployment

  • Release Pipeline: Automated
  • Versioning: Semantic
  • Deployment: Multi-stage
  • Tools: gh pr create, gh pr merge, gh release create, Bash, TodoWrite
  • Usage: $github release-manager <release task>
  • Best For: Release management, version coordination, deployment pipelines

Repository Management Modes

repo-architect

Repository structure and organization

  • Structure Optimization: Yes
  • Multi-repo: Support
  • Template Management: Advanced
  • Tools: gh repo create, gh repo clone, git commands, Write, Read, Bash
  • Usage: $github repo-architect <repository management task>
  • Best For: Repository setup, structure optimization, multi-repo management

code-reviewer

Automated code review and quality assurance

  • Review Quality: Deep
  • Security Analysis: Yes
  • Performance Check: Automated
  • Tools: gh pr view --json files, gh pr review, gh pr comment, Read, Write
  • Usage: $github code-reviewer <review task>
  • Best For: Code quality, security reviews, performance analysis

branch-manager

Branch management and workflow coordination

  • Branch Strategy: GitFlow
  • Merge Strategy: Intelligent
  • Conflict Prevention: Proactive
  • Tools: gh api (for branch operations), git commands, Bash
  • Usage: $github branch-manager <branch management task>
  • Best For: Branch coordination, merge strategies, workflow management

Integration Commands

sync-coordinator

Multi-package synchronization

  • Package Sync: Intelligent
  • Version Alignment: Automatic
  • Dependency Resolution: Advanced
  • Tools: git commands, gh pr create, Read, Write, Bash
  • Usage: $github sync-coordinator <sync task>
  • Best For: Package synchronization, version management, dependency updates

ci-orchestrator

CI/CD pipeline coordination

  • Pipeline Management: Advanced
  • Test Coordination: Parallel
  • Deployment: Automated
  • Tools: gh pr checks, gh workflow list, gh run list, Bash, TodoWrite, Task
  • Usage: $github ci-orchestrator <CI/CD task>
  • Best For: CI/CD coordination, test management, deployment automation

security-guardian

Security and compliance management

  • Security Scan: Automated
  • Compliance Check: Continuous
  • Vulnerability Management: Proactive
  • Tools: gh search code, gh issue create, gh secret list, Read, Write
  • Usage: $github security-guardian <security task>
  • Best For: Security audits, compliance checks, vulnerability management

Usage Examples

Creating a coordinated pull request workflow:

bash
$github pr-manager "Review and merge feature$new-integration branch with automated testing and multi-reviewer coordination"

Managing repository synchronization:

bash
$github sync-coordinator "Synchronize claude-code-flow and ruv-swarm packages, align versions, and update cross-dependencies"

Setting up automated issue tracking:

bash
$github issue-tracker "Create and manage integration issues with automated progress tracking and swarm coordination"

Batch Operations

All GitHub modes support batch operations for maximum efficiency:

Parallel GitHub Operations Example:

javascript
[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")

Integration with ruv-swarm

All GitHub modes can be enhanced with ruv-swarm coordination:

javascript
// 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" }

Frequently asked questions

What does the Agent Github Modes AI skill do?

Agent skill for github-modes - invoke with $agent-github-modes

Why use Agent Github Modes on TypingMind?

Because you install it once and use it with any model. Agent Github Modes is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Github Modes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-github-modes. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Github Modes?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Github Modes?

As many as you like. As long as a model supports skills, you can use Agent Github Modes with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Github Modes AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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