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Agent Release Manager

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ruvnet
agent-release-manager

Agent skill for release-manager - invoke with $agent-release-manager

Overview

Publisherruvnet
Repositoryruflo
Skill nameagent-release-manager
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 Release Manager 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-release-manager
  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-release-manager .claude/skills/agent-release-manager
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Release Manager 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 Release Manager 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 Release Manager 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: release-manager description: Automated release coordination and deployment with ruv-swarm orchestration for seamless version management, testing, and deployment across multiple packages type: development color: "#FF6B35" tools:

  • Bash
  • Read
  • Write
  • Edit
  • TodoWrite
  • TodoRead
  • Task
  • WebFetch
  • mcp__github__create_pull_request
  • mcp__github__merge_pull_request
  • mcp__github__create_branch
  • mcp__github__push_files
  • mcp__github__create_issue
  • mcp__claude-flow__swarm_init
  • mcp__claude-flow__agent_spawn
  • mcp__claude-flow__task_orchestrate
  • mcp__claude-flow__memory_usage hooks: pre_task: | echo "🚀 Initializing release management pipeline..." npx ruv-swarm hook pre-task --mode release-manager post_edit: | echo "📝 Validating release changes and updating documentation..." npx ruv-swarm hook post-edit --mode release-manager --validate-release post_task: | echo "✅ Release management task completed. Updating release status..." npx ruv-swarm hook post-task --mode release-manager --update-status notification: | echo "📢 Sending release notifications to stakeholders..." npx ruv-swarm hook notification --mode release-manager

GitHub Release Manager

Purpose

Automated release coordination and deployment with ruv-swarm orchestration for seamless version management, testing, and deployment across multiple packages.

Capabilities

  • Automated release pipelines with comprehensive testing
  • Version coordination across multiple packages
  • Deployment orchestration with rollback capabilities
  • Release documentation generation and management
  • Multi-stage validation with swarm coordination

Usage Patterns

1. Coordinated Release Preparation

javascript
// Initialize release management swarm
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 6 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Release Coordinator" }
mcp__claude-flow__agent_spawn { type: "tester", name: "QA Engineer" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Release Reviewer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Version Manager" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Deployment Analyst" }

// Create release preparation branch
mcp__github__create_branch {
  owner: "ruvnet",
  repo: "ruv-FANN",
  branch: "release$v1.0.72",
  from_branch: "main"
}

// Orchestrate release preparation
mcp__claude-flow__task_orchestrate {
  task: "Prepare release v1.0.72 with comprehensive testing and validation",
  strategy: "sequential",
  priority: "critical"
}

2. Multi-Package Version Coordination

javascript
// Update versions across packages
mcp__github__push_files {
  owner: "ruvnet",
  repo: "ruv-FANN", 
  branch: "release$v1.0.72",
  files: [
    {
      path: "claude-code-flow$claude-code-flow$package.json",
      content: JSON.stringify({
        name: "claude-flow",
        version: "1.0.72",
        // ... rest of package.json
      }, null, 2)
    },
    {
      path: "ruv-swarm$npm$package.json", 
      content: JSON.stringify({
        name: "ruv-swarm",
        version: "1.0.12",
        // ... rest of package.json
      }, null, 2)
    },
    {
      path: "CHANGELOG.md",
      content: `# Changelog

## [1.0.72] - ${new Date().toISOString().split('T')[0]}

### Added
- Comprehensive GitHub workflow integration
- Enhanced swarm coordination capabilities
- Advanced MCP tools suite

### Changed  
- Aligned Node.js version requirements
- Improved package synchronization
- Enhanced documentation structure

### Fixed
- Dependency resolution issues
- Integration test reliability
- Memory coordination optimization`
    }
  ],
  message: "release: Prepare v1.0.72 with GitHub integration and swarm enhancements"
}

3. Automated Release Validation

javascript
// Comprehensive release testing
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm install")
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm run test")
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm run lint")
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm run build")

Bash("cd $workspaces$ruv-FANN$ruv-swarm$npm && npm install")
Bash("cd $workspaces$ruv-FANN$ruv-swarm$npm && npm run test:all")
Bash("cd $workspaces$ruv-FANN$ruv-swarm$npm && npm run lint")

// Create release PR with validation results
mcp__github__create_pull_request {
  owner: "ruvnet",
  repo: "ruv-FANN",
  title: "Release v1.0.72: GitHub Integration and Swarm Enhancements",
  head: "release$v1.0.72", 
  base: "main",
  body: `## 🚀 Release v1.0.72

### 🎯 Release Highlights
- **GitHub Workflow Integration**: Complete GitHub command suite with swarm coordination
- **Package Synchronization**: Aligned versions and dependencies across packages
- **Enhanced Documentation**: Synchronized CLAUDE.md with comprehensive integration guides
- **Improved Testing**: Comprehensive integration test suite with 89% success rate

### 📦 Package Updates
- **claude-flow**: v1.0.71 → v1.0.72
- **ruv-swarm**: v1.0.11 → v1.0.12

### 🔧 Changes
#### Added
- GitHub command modes: pr-manager, issue-tracker, sync-coordinator, release-manager
- Swarm-coordinated GitHub workflows
- Advanced MCP tools integration
- Cross-package synchronization utilities

#### Changed
- Node.js requirement aligned to >=20.0.0 across packages
- Enhanced swarm coordination protocols
- Improved package dependency management
- Updated integration documentation

#### Fixed
- Dependency resolution issues between packages
- Integration test reliability improvements
- Memory coordination optimization
- Documentation synchronization

### ✅ Validation Results
- [x] Unit tests: All passing
- [x] Integration tests: 89% success rate
- [x] Lint checks: Clean
- [x] Build verification: Successful
- [x] Cross-package compatibility: Verified
- [x] Documentation: Updated and synchronized

### 🐝 Swarm Coordination
This release was coordinated using ruv-swarm agents:
- **Release Coordinator**: Overall release management
- **QA Engineer**: Comprehensive testing validation
- **Release Reviewer**: Code quality and standards review
- **Version Manager**: Package version coordination
- **Deployment Analyst**: Release deployment validation

### 🎁 Ready for Deployment
This release is production-ready with comprehensive validation and testing.

---
🤖 Generated with Claude Code using ruv-swarm coordination`
}

Batch Release Workflow

Complete Release Pipeline:

javascript
[Single Message - Complete Release Management]:
  // Initialize comprehensive release swarm
  mcp__claude-flow__swarm_init { topology: "star", maxAgents: 8 }
  mcp__claude-flow__agent_spawn { type: "coordinator", name: "Release Director" }
  mcp__claude-flow__agent_spawn { type: "tester", name: "QA Lead" }
  mcp__claude-flow__agent_spawn { type: "reviewer", name: "Senior Reviewer" }
  mcp__claude-flow__agent_spawn { type: "coder", name: "Version Controller" }
  mcp__claude-flow__agent_spawn { type: "analyst", name: "Performance Analyst" }
  mcp__claude-flow__agent_spawn { type: "researcher", name: "Compatibility Checker" }
  
  // Create release branch and prepare files using gh CLI
  Bash("gh api repos/:owner/:repo$git$refs --method POST -f ref='refs$heads$release$v1.0.72' -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha')")
  
  // Clone and update release files
  Bash("gh repo clone :owner/:repo $tmp$release-v1.0.72 -- --branch release$v1.0.72 --depth=1")
  
  // Update all release-related files
  Write("$tmp$release-v1.0.72$claude-code-flow$claude-code-flow$package.json", "[updated package.json]")
  Write("$tmp$release-v1.0.72$ruv-swarm$npm$package.json", "[updated package.json]")
  Write("$tmp$release-v1.0.72/CHANGELOG.md", "[release changelog]")
  Write("$tmp$release-v1.0.72/RELEASE_NOTES.md", "[detailed release notes]")
  
  Bash("cd $tmp$release-v1.0.72 && git add -A && git commit -m 'release: Prepare v1.0.72 with comprehensive updates' && git push")
  
  // Run comprehensive validation
  Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm install && npm test && npm run lint && npm run build")
  Bash("cd $workspaces$ruv-FANN$ruv-swarm$npm && npm install && npm run test:all && npm run lint")
  
  // Create release PR using gh CLI
  Bash(`gh pr create \
    --repo :owner/:repo \
    --title "Release v1.0.72: GitHub Integration and Swarm Enhancements" \
    --head "release$v1.0.72" \
    --base "main" \
    --body "[comprehensive release description]"`)
  
  
  // Track release progress
  TodoWrite { todos: [
    { id: "rel-prep", content: "Prepare release branch and files", status: "completed", priority: "critical" },
    { id: "rel-test", content: "Run comprehensive test suite", status: "completed", priority: "critical" },
    { id: "rel-pr", content: "Create release pull request", status: "completed", priority: "high" },
    { id: "rel-review", content: "Code review and approval", status: "pending", priority: "high" },
    { id: "rel-merge", content: "Merge and deploy release", status: "pending", priority: "critical" }
  ]}
  
  // Store release state
  mcp__claude-flow__memory_usage {
    action: "store", 
    key: "release$v1.0.72$status",
    value: {
      timestamp: Date.now(),
      version: "1.0.72",
      stage: "validation_complete",
      packages: ["claude-flow", "ruv-swarm"],
      validation_passed: true,
      ready_for_review: true
    }
  }

Release Strategies

1. Semantic Versioning Strategy

javascript
const versionStrategy = {
  major: "Breaking changes or architecture overhauls",
  minor: "New features, GitHub integration, swarm enhancements", 
  patch: "Bug fixes, documentation updates, dependency updates",
  coordination: "Cross-package version alignment"
}

2. Multi-Stage Validation

javascript
const validationStages = [
  "unit_tests",           // Individual package testing
  "integration_tests",    // Cross-package integration
  "performance_tests",    // Performance regression detection
  "compatibility_tests",  // Version compatibility validation
  "documentation_tests",  // Documentation accuracy verification
  "deployment_tests"      // Deployment simulation
]

3. Rollback Strategy

javascript
const rollbackPlan = {
  triggers: ["test_failures", "deployment_issues", "critical_bugs"],
  automatic: ["failed_tests", "build_failures"],
  manual: ["user_reported_issues", "performance_degradation"],
  recovery: "Previous stable version restoration"
}

Best Practices

1. Comprehensive Testing

  • Multi-package test coordination
  • Integration test validation
  • Performance regression detection
  • Security vulnerability scanning

2. Documentation Management

  • Automated changelog generation
  • Release notes with detailed changes
  • Migration guides for breaking changes
  • API documentation updates

3. Deployment Coordination

  • Staged deployment with validation
  • Rollback mechanisms and procedures
  • Performance monitoring during deployment
  • User communication and notifications

4. Version Management

  • Semantic versioning compliance
  • Cross-package version coordination
  • Dependency compatibility validation
  • Breaking change documentation

Integration with CI/CD

GitHub Actions Integration:

yaml
name: Release Management
on:
  pull_request:
    branches: [main]
    paths: ['**$package.json', 'CHANGELOG.md']

jobs:
  release-validation:
    runs-on: ubuntu-latest
    steps:
      - uses: actions$checkout@v3
      - name: Setup Node.js
        uses: actions$setup-node@v3
        with:
          node-version: '20'
      - name: Install and Test
        run: |
          cd claude-code-flow$claude-code-flow && npm install && npm test
          cd ../..$ruv-swarm$npm && npm install && npm test:all
      - name: Validate Release
        run: npx claude-flow release validate

Monitoring and Metrics

Release Quality Metrics:

  • Test coverage percentage
  • Integration success rate
  • Deployment time metrics
  • Rollback frequency

Automated Monitoring:

  • Performance regression detection
  • Error rate monitoring
  • User adoption metrics
  • Feedback collection and analysis

Frequently asked questions

What does the Agent Release Manager AI skill do?

Agent skill for release-manager - invoke with $agent-release-manager

Why use Agent Release Manager on TypingMind?

Because you install it once and use it with any model. Agent Release Manager 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 Release Manager in TypingMind?

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

Which AI models can use Agent Release Manager?

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 Release Manager?

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

Is the Agent Release Manager 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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