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Agent Release Swarm

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ruvnet
agent-release-swarm

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

Overview

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

Use it in TypingMind

Enable Agent Release Swarm 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 Swarm 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 Swarm 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-swarm description: Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment type: coordination color: "#4ECDC4" 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__parallel_execute
  • mcp__claude-flow__load_balance hooks: pre_task: | echo "🐝 Initializing release swarm coordination..." npx ruv-swarm hook pre-task --mode release-swarm --init-swarm post_edit: | echo "🔄 Synchronizing release swarm state and validating changes..." npx ruv-swarm hook post-edit --mode release-swarm --sync-swarm post_task: | echo "🎯 Release swarm task completed. Coordinating final deployment..." npx ruv-swarm hook post-task --mode release-swarm --finalize-release notification: | echo "📡 Broadcasting release completion across all swarm agents..." npx ruv-swarm hook notification --mode release-swarm --broadcast

Release Swarm - Intelligent Release Automation

Overview

Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment.

Core Features

1. Release Planning

bash
# Plan next release using gh CLI
# Get commit history since last release
LAST_TAG=$(gh release list --limit 1 --json tagName -q '.[0].tagName')
COMMITS=$(gh api repos/:owner/:repo$compare/${LAST_TAG}...HEAD --jq '.commits')

# Get merged PRs
MERGED_PRS=$(gh pr list --state merged --base main --json number,title,labels,mergedAt \
  --jq ".[] | select(.mergedAt > \"$(gh release view $LAST_TAG --json publishedAt -q .publishedAt)\")")  

# Plan release with commit analysis
npx ruv-swarm github release-plan \
  --commits "$COMMITS" \
  --merged-prs "$MERGED_PRS" \
  --analyze-commits \
  --suggest-version \
  --identify-breaking \
  --generate-timeline

2. Automated Versioning

bash
# Smart version bumping
npx ruv-swarm github release-version \
  --strategy "semantic" \
  --analyze-changes \
  --check-breaking \
  --update-files

3. Release Orchestration

bash
# Full release automation with gh CLI
# Generate changelog from PRs and commits
CHANGELOG=$(gh api repos/:owner/:repo$compare/${LAST_TAG}...HEAD \
  --jq '.commits[].commit.message' | \
  npx ruv-swarm github generate-changelog)

# Create release draft
gh release create v2.0.0 \
  --draft \
  --title "Release v2.0.0" \
  --notes "$CHANGELOG" \
  --target main

# Run release orchestration
npx ruv-swarm github release-create \
  --version "2.0.0" \
  --changelog "$CHANGELOG" \
  --build-artifacts \
  --deploy-targets "npm,docker,github"

# Publish release after validation
gh release edit v2.0.0 --draft=false

# Create announcement issue
gh issue create \
  --title "🎉 Released v2.0.0" \
  --body "$CHANGELOG" \
  --label "announcement,release"

Release Configuration

Release Config File

yaml
# .github$release-swarm.yml
version: 1
release:
  versioning:
    strategy: semantic
    breaking-keywords: ["BREAKING", "!"]
    
  changelog:
    sections:
      - title: "🚀 Features"
        labels: ["feature", "enhancement"]
      - title: "🐛 Bug Fixes"
        labels: ["bug", "fix"]
      - title: "📚 Documentation"
        labels: ["docs", "documentation"]
        
  artifacts:
    - name: npm-package
      build: npm run build
      publish: npm publish
      
    - name: docker-image
      build: docker build -t app:$VERSION .
      publish: docker push app:$VERSION
      
    - name: binaries
      build: .$scripts$build-binaries.sh
      upload: github-release
      
  deployment:
    environments:
      - name: staging
        auto-deploy: true
        validation: npm run test:e2e
        
      - name: production
        approval-required: true
        rollback-enabled: true
        
  notifications:
    - slack: releases-channel
    - email: stakeholders@company.com
    - discord: webhook-url

Release Agents

Changelog Agent

bash
# Generate intelligent changelog with gh CLI
# Get all merged PRs between versions
PRS=$(gh pr list --state merged --base main --json number,title,labels,author,mergedAt \
  --jq ".[] | select(.mergedAt > \"$(gh release view v1.0.0 --json publishedAt -q .publishedAt)\")")  

# Get contributors
CONTRIBUTORS=$(echo "$PRS" | jq -r '[.author.login] | unique | join(", ")')

# Get commit messages
COMMITS=$(gh api repos/:owner/:repo$compare$v1.0.0...HEAD \
  --jq '.commits[].commit.message')

# Generate categorized changelog
CHANGELOG=$(npx ruv-swarm github changelog \
  --prs "$PRS" \
  --commits "$COMMITS" \
  --contributors "$CONTRIBUTORS" \
  --from v1.0.0 \
  --to HEAD \
  --categorize \
  --add-migration-guide)

# Save changelog
echo "$CHANGELOG" > CHANGELOG.md

# Create PR with changelog update
gh pr create \
  --title "docs: Update changelog for v2.0.0" \
  --body "Automated changelog update" \
  --base main

Capabilities:

  • Semantic commit analysis
  • Breaking change detection
  • Contributor attribution
  • Migration guide generation
  • Multi-language support

Version Agent

bash
# Determine next version
npx ruv-swarm github version-suggest \
  --current v1.2.3 \
  --analyze-commits \
  --check-compatibility \
  --suggest-pre-release

Logic:

  • Analyzes commit messages
  • Detects breaking changes
  • Suggests appropriate bump
  • Handles pre-releases
  • Validates version constraints

Build Agent

bash
# Coordinate multi-platform builds
npx ruv-swarm github release-build \
  --platforms "linux,macos,windows" \
  --architectures "x64,arm64" \
  --parallel \
  --optimize-size

Features:

  • Cross-platform compilation
  • Parallel build execution
  • Artifact optimization
  • Dependency bundling
  • Build caching

Test Agent

bash
# Pre-release testing
npx ruv-swarm github release-test \
  --suites "unit,integration,e2e,performance" \
  --environments "node:16,node:18,node:20" \
  --fail-fast false \
  --generate-report

Deploy Agent

bash
# Multi-target deployment
npx ruv-swarm github release-deploy \
  --targets "npm,docker,github,s3" \
  --staged-rollout \
  --monitor-metrics \
  --auto-rollback

Advanced Features

1. Progressive Deployment

yaml
# Staged rollout configuration
deployment:
  strategy: progressive
  stages:
    - name: canary
      percentage: 5
      duration: 1h
      metrics:
        - error-rate < 0.1%
        - latency-p99 < 200ms
        
    - name: partial
      percentage: 25
      duration: 4h
      validation: automated-tests
      
    - name: full
      percentage: 100
      approval: required

2. Multi-Repo Releases

bash
# Coordinate releases across repos
npx ruv-swarm github multi-release \
  --repos "frontend:v2.0.0,backend:v2.1.0,cli:v1.5.0" \
  --ensure-compatibility \
  --atomic-release \
  --synchronized

3. Hotfix Automation

bash
# Emergency hotfix process
npx ruv-swarm github hotfix \
  --issue 789 \
  --target-version v1.2.4 \
  --cherry-pick-commits \
  --fast-track-deploy

Release Workflows

Standard Release Flow

yaml
# .github$workflows$release.yml
name: Release Workflow
on:
  push:
    tags: ['v*']

jobs:
  release-swarm:
    runs-on: ubuntu-latest
    steps:
      - uses: actions$checkout@v3
        with:
          fetch-depth: 0
          
      - name: Setup GitHub CLI
        run: echo "${{ secrets.GITHUB_TOKEN }}" | gh auth login --with-token
          
      - name: Initialize Release Swarm
        run: |
          # Get release tag and previous tag
          RELEASE_TAG=${{ github.ref_name }}
          PREV_TAG=$(gh release list --limit 2 --json tagName -q '.[1].tagName')
          
          # Get PRs and commits for changelog
          PRS=$(gh pr list --state merged --base main --json number,title,labels,author \
            --search "merged:>=$(gh release view $PREV_TAG --json publishedAt -q .publishedAt)")
          
          npx ruv-swarm github release-init \
            --tag $RELEASE_TAG \
            --previous-tag $PREV_TAG \
            --prs "$PRS" \
            --spawn-agents "changelog,version,build,test,deploy"
            
      - name: Generate Release Assets
        run: |
          # Generate changelog from PR data
          CHANGELOG=$(npx ruv-swarm github release-changelog \
            --format markdown)
          
          # Update release notes
          gh release edit ${{ github.ref_name }} \
            --notes "$CHANGELOG"
          
          # Generate and upload assets
          npx ruv-swarm github release-assets \
            --changelog \
            --binaries \
            --documentation
            
      - name: Upload Release Assets
        run: |
          # Upload generated assets to GitHub release
          for file in dist/*; do
            gh release upload ${{ github.ref_name }} "$file"
          done
          
      - name: Publish Release
        run: |
          # Publish to package registries
          npx ruv-swarm github release-publish \
            --platforms all
          
          # Create announcement issue
          gh issue create \
            --title "🚀 Released ${{ github.ref_name }}" \
            --body "See [release notes](https:/$github.com/${{ github.repository }}$releases$tag/${{ github.ref_name }})" \
            --label "announcement"

Continuous Deployment

bash
# Automated deployment pipeline
npx ruv-swarm github cd-pipeline \
  --trigger "merge-to-main" \
  --auto-version \
  --deploy-on-success \
  --rollback-on-failure

Release Validation

Pre-Release Checks

bash
# Comprehensive validation
npx ruv-swarm github release-validate \
  --checks "
    version-conflicts,
    dependency-compatibility,
    api-breaking-changes,
    security-vulnerabilities,
    performance-regression,
    documentation-completeness
  " \
  --block-on-failure

Compatibility Testing

bash
# Test backward compatibility
npx ruv-swarm github compat-test \
  --previous-versions "v1.0,v1.1,v1.2" \
  --api-contracts \
  --data-migrations \
  --generate-report

Security Scanning

bash
# Security validation
npx ruv-swarm github release-security \
  --scan-dependencies \
  --check-secrets \
  --audit-permissions \
  --sign-artifacts

Monitoring & Rollback

Release Monitoring

bash
# Monitor release health
npx ruv-swarm github release-monitor \
  --version v2.0.0 \
  --metrics "error-rate,latency,throughput" \
  --alert-thresholds \
  --duration 24h

Automated Rollback

bash
# Configure auto-rollback
npx ruv-swarm github rollback-config \
  --triggers '{
    "error-rate": ">5%",
    "latency-p99": ">1000ms",
    "availability": "<99.9%"
  }' \
  --grace-period 5m \
  --notify-on-rollback

Release Analytics

bash
# Analyze release performance
npx ruv-swarm github release-analytics \
  --version v2.0.0 \
  --compare-with v1.9.0 \
  --metrics "adoption,performance,stability" \
  --generate-insights

Documentation

Auto-Generated Docs

bash
# Update documentation
npx ruv-swarm github release-docs \
  --api-changes \
  --migration-guide \
  --example-updates \
  --publish-to "docs-site,wiki"

Release Notes

markdown
<!-- Auto-generated release notes template -->
# Release v2.0.0

## 🎉 Highlights
- Major feature X with 50% performance improvement
- New API endpoints for feature Y
- Enhanced security with feature Z

## 🚀 Features
### Feature Name (#PR)
Detailed description of the feature...

## 🐛 Bug Fixes
### Fixed issue with... (#PR)
Description of the fix...

## 💥 Breaking Changes
### API endpoint renamed
- Before: `$api$old-endpoint`
- After: `$api$new-endpoint`
- Migration: Update all client calls...

## 📈 Performance Improvements
- Reduced memory usage by 30%
- API response time improved by 200ms

## 🔒 Security Updates
- Updated dependencies to patch CVE-XXXX
- Enhanced authentication mechanism

## 📚 Documentation
- Added examples for new features
- Updated API reference
- New troubleshooting guide

## 🙏 Contributors
Thanks to all contributors who made this release possible!

Best Practices

1. Release Planning

  • Regular release cycles
  • Feature freeze periods
  • Beta testing phases
  • Clear communication

2. Automation

  • Comprehensive CI/CD
  • Automated testing
  • Progressive rollouts
  • Monitoring and alerts

3. Documentation

  • Up-to-date changelogs
  • Migration guides
  • API documentation
  • Example updates

Integration Examples

NPM Package Release

bash
# NPM package release
npx ruv-swarm github npm-release \
  --version patch \
  --test-all \
  --publish-beta \
  --tag-latest-on-success

Docker Image Release

bash
# Docker multi-arch release
npx ruv-swarm github docker-release \
  --platforms "linux$amd64,linux$arm64" \
  --tags "latest,v2.0.0,stable" \
  --scan-vulnerabilities \
  --push-to "dockerhub,gcr,ecr"

Mobile App Release

bash
# Mobile app store release
npx ruv-swarm github mobile-release \
  --platforms "ios,android" \
  --build-release \
  --submit-review \
  --staged-rollout

Emergency Procedures

Hotfix Process

bash
# Emergency hotfix
npx ruv-swarm github emergency-release \
  --severity critical \
  --bypass-checks security-only \
  --fast-track \
  --notify-all

Rollback Procedure

bash
# Immediate rollback
npx ruv-swarm github rollback \
  --to-version v1.9.9 \
  --reason "Critical bug in v2.0.0" \
  --preserve-data \
  --notify-users

See also: workflow-automation.md, multi-repo-swarm.md

Frequently asked questions

What does the Agent Release Swarm AI skill do?

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

Why use Agent Release Swarm on TypingMind?

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

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

Which AI models can use Agent Release Swarm?

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 Swarm?

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

Is the Agent Release Swarm 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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