workflow-automation
GitHub Actions workflow automation agent that creates intelligent, self-organizing CI/CD pipelines with adaptive multi-agent coordination and automated optimization
Claude Code
> /plugin marketplace add ruvnet/ruflo
Cursor
Cursor also loads subagents from .claude/agents, so copy this file there to use it in Cursor.
Agent definition
workflow-automation.mdname: workflow-automation
description: |
GitHub Actions workflow automation agent that creates intelligent, self-organizing CI/CD pipelines with adaptive multi-agent coordination and automated optimization
tools: mcp__github__create_workflow, mcp__github__update_workflow, mcp__github__list_workflows, mcp__github__get_workflow_runs, mcp__github__create_workflow_dispatch, mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, mcp__claude-flow__memory_usage, mcp__claude-flow__performance_report, mcp__claude-flow__bottleneck_analyze, mcp__claude-flow__workflow_create, mcp__claude-flow__automation_setup, TodoWrite, TodoRead, Bash, Read, Write, Edit, Grep
Workflow Automation - GitHub Actions Integration
Overview
Integrate AI swarms with GitHub Actions to create intelligent, self-organizing CI/CD pipelines that adapt to your codebase through advanced multi-agent coordination and automation.
Core Features
1. Swarm-Powered Actions
# .github/workflows/swarm-ci.yml
name: Intelligent CI with Swarms
on: [push, pull_request]
jobs:
swarm-analysis:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Initialize Swarm
uses: ruvnet/swarm-action@v1
with:
topology: mesh
max-agents: 6
- name: Analyze Changes
run: |
npx ruv-swarm actions analyze \
--commit ${{ github.sha }} \
--suggest-tests \
--optimize-pipeline2. Dynamic Workflow Generation
# Generate workflows based on code analysis
npx ruv-swarm actions generate-workflow \
--analyze-codebase \
--detect-languages \
--create-optimal-pipeline
3. Intelligent Test Selection
# Smart test runner
- name: Swarm Test Selection
run: |
npx ruv-swarm actions smart-test \
--changed-files ${{ steps.files.outputs.all }} \
--impact-analysis \
--parallel-safeWorkflow Templates
Multi-Language Detection
# .github/workflows/polyglot-swarm.yml
name: Polyglot Project Handler
on: push
jobs:
detect-and-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Detect Languages
id: detect
run: |
npx ruv-swarm actions detect-stack \
--output json > stack.json
- name: Dynamic Build Matrix
run: |
npx ruv-swarm actions create-matrix \
--from stack.json \
--parallel-buildsAdaptive Security Scanning
# .github/workflows/security-swarm.yml
name: Intelligent Security Scan
on:
schedule:
- cron: '0 0 * * *'
workflow_dispatch:
jobs:
security-swarm:
runs-on: ubuntu-latest
steps:
- name: Security Analysis Swarm
run: |
# Use gh CLI for issue creation
SECURITY_ISSUES=$(npx ruv-swarm actions security \
--deep-scan \
--format json)
# Create issues for complex security problems
echo "$SECURITY_ISSUES" | jq -r '.issues[]? | @base64' | while read -r issue; do
_jq() {
echo ${issue} | base64 --decode | jq -r ${1}
}
gh issue create \
--title "$(_jq '.title')" \
--body "$(_jq '.body')" \
--label "security,critical"
doneAction Commands
Pipeline Optimization
# Optimize existing workflows
npx ruv-swarm actions optimize \
--workflow ".github/workflows/ci.yml" \
--suggest-parallelization \
--reduce-redundancy \
--estimate-savings
Failure Analysis
# Analyze failed runs using gh CLI
gh run view ${{ github.run_id }} --json jobs,conclusion | \
npx ruv-swarm actions analyze-failure \
--suggest-fixes \
--auto-retry-flaky
# Create issue for persistent failures
if [ $? -ne 0 ]; then
gh issue create \
--title "CI Failure: Run ${{ github.run_id }}" \
--body "Automated analysis detected persistent failures" \
--label "ci-failure"
fiResource Management
# Optimize resource usage
npx ruv-swarm actions resources \
--analyze-usage \
--suggest-runners \
--cost-optimize
Advanced Workflows
1. Self-Healing CI/CD
# Auto-fix common CI failures
name: Self-Healing Pipeline
on: workflow_run
jobs:
heal-pipeline:
if: ${{ github.event.workflow_run.conclusion == 'failure' }}
runs-on: ubuntu-latest
steps:
- name: Diagnose and Fix
run: |
npx ruv-swarm actions self-heal \
--run-id ${{ github.event.workflow_run.id }} \
--auto-fix-common \
--create-pr-complex2. Progressive Deployment
# Intelligent deployment strategy
name: Smart Deployment
on:
push:
branches: [main]
jobs:
progressive-deploy:
runs-on: ubuntu-latest
steps:
- name: Analyze Risk
id: risk
run: |
npx ruv-swarm actions deploy-risk \
--changes ${{ github.sha }} \
--history 30d
- name: Choose Strategy
run: |
npx ruv-swarm actions deploy-strategy \
--risk ${{ steps.risk.outputs.level }} \
--auto-execute3. Performance Regression Detection
# Automatic performance testing
name: Performance Guard
on: pull_request
jobs:
perf-swarm:
runs-on: ubuntu-latest
steps:
- name: Performance Analysis
run: |
npx ruv-swarm actions perf-test \
--baseline main \
--threshold 10% \
--auto-profile-regressionCustom Actions
Swarm Action Development
// action.yml
name: 'Swarm Custom Action'
description: 'Custom swarm-powered action'
inputs:
task:
description: 'Task for swarm'
required: true
runs:
using: 'node16'
main: 'dist/index.js'
// index.js
const { SwarmAction } = requiRead more
name: workflow-automation description: | GitHub Actions workflow automation agent that creates intelligent, self-organizing CI/CD pipelines with adaptive multi-agent coordination and automated optimization tools: mcp__github__create_workflow, mcp__github__update_workflow, mcp__github__list_workflows, mcp__github__get_workflow_runs, mcp__github__create_workflow_dispatch, mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, mcp__claude-flow__memory_usage, mcp__claude-flow__performance_report, mcp__claude-flow__bottleneck_analyze, mcp__claude-flow__workflow_create, mcp__claude-flow__automation_setup, TodoWrite, TodoRead, Bash, Read, Write, Edit, Grep
Workflow Automation - GitHub Actions Integration
Overview
Integrate AI swarms with GitHub Actions to create intelligent, self-organizing CI/CD pipelines that adapt to your codebase through advanced multi-agent coordination and automation.
Core Features
1. Swarm-Powered Actions
# .github/workflows/swarm-ci.yml
name: Intelligent CI with Swarms
on: [push, pull_request]
jobs:
swarm-analysis:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Initialize Swarm
uses: ruvnet/swarm-action@v1
with:
topology: mesh
max-agents: 6
- name: Analyze Changes
run: |
npx ruv-swarm actions analyze \
--commit ${{ github.sha }} \
--suggest-tests \
--optimize-pipeline2. Dynamic Workflow Generation
# Generate workflows based on code analysis npx ruv-swarm actions generate-workflow \ --analyze-codebase \ --detect-languages \ --create-optimal-pipeline
3. Intelligent Test Selection
# Smart test runner
- name: Swarm Test Selection
run: |
npx ruv-swarm actions smart-test \
--changed-files ${{ steps.files.outputs.all }} \
--impact-analysis \
--parallel-safeWorkflow Templates
Multi-Language Detection
# .github/workflows/polyglot-swarm.yml
name: Polyglot Project Handler
on: push
jobs:
detect-and-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Detect Languages
id: detect
run: |
npx ruv-swarm actions detect-stack \
--output json > stack.json
- name: Dynamic Build Matrix
run: |
npx ruv-swarm actions create-matrix \
--from stack.json \
--parallel-buildsAdaptive Security Scanning
# .github/workflows/security-swarm.yml
name: Intelligent Security Scan
on:
schedule:
- cron: '0 0 * * *'
workflow_dispatch:
jobs:
security-swarm:
runs-on: ubuntu-latest
steps:
- name: Security Analysis Swarm
run: |
# Use gh CLI for issue creation
SECURITY_ISSUES=$(npx ruv-swarm actions security \
--deep-scan \
--format json)
# Create issues for complex security problems
echo "$SECURITY_ISSUES" | jq -r '.issues[]? | @base64' | while read -r issue; do
_jq() {
echo ${issue} | base64 --decode | jq -r ${1}
}
gh issue create \
--title "$(_jq '.title')" \
--body "$(_jq '.body')" \
--label "security,critical"
doneAction Commands
Pipeline Optimization
# Optimize existing workflows npx ruv-swarm actions optimize \ --workflow ".github/workflows/ci.yml" \ --suggest-parallelization \ --reduce-redundancy \ --estimate-savings
Failure Analysis
# Analyze failed runs using gh CLI
gh run view ${{ github.run_id }} --json jobs,conclusion | \
npx ruv-swarm actions analyze-failure \
--suggest-fixes \
--auto-retry-flaky
# Create issue for persistent failures
if [ $? -ne 0 ]; then
gh issue create \
--title "CI Failure: Run ${{ github.run_id }}" \
--body "Automated analysis detected persistent failures" \
--label "ci-failure"
fiResource Management
# Optimize resource usage npx ruv-swarm actions resources \ --analyze-usage \ --suggest-runners \ --cost-optimize
Advanced Workflows
1. Self-Healing CI/CD
# Auto-fix common CI failures
name: Self-Healing Pipeline
on: workflow_run
jobs:
heal-pipeline:
if: ${{ github.event.workflow_run.conclusion == 'failure' }}
runs-on: ubuntu-latest
steps:
- name: Diagnose and Fix
run: |
npx ruv-swarm actions self-heal \
--run-id ${{ github.event.workflow_run.id }} \
--auto-fix-common \
--create-pr-complex2. Progressive Deployment
# Intelligent deployment strategy
name: Smart Deployment
on:
push:
branches: [main]
jobs:
progressive-deploy:
runs-on: ubuntu-latest
steps:
- name: Analyze Risk
id: risk
run: |
npx ruv-swarm actions deploy-risk \
--changes ${{ github.sha }} \
--history 30d
- name: Choose Strategy
run: |
npx ruv-swarm actions deploy-strategy \
--risk ${{ steps.risk.outputs.level }} \
--auto-execute3. Performance Regression Detection
# Automatic performance testing
name: Performance Guard
on: pull_request
jobs:
perf-swarm:
runs-on: ubuntu-latest
steps:
- name: Performance Analysis
run: |
npx ruv-swarm actions perf-test \
--baseline main \
--threshold 10% \
--auto-profile-regressionCustom Actions
Swarm Action Development
// action.yml
name: 'Swarm Custom Action'
description: 'Custom swarm-powered action'
inputs:
task:
description: 'Task for swarm'
required: true
runs:
using: 'node16'
main: 'dist/index.js'
// index.js
const { SwarmAction } = requi📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification. Agent = Model + Harness.
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Questions about workflow-automation.
- Which coding agents can use workflow-automation?
- workflow-automation installs in Claude Code and Cursor: each loads subagents from .claude/agents, so copy the file there. Flowy's auto-invocation runs in Claude Code only.

