COMMAND_COMPLIANCE_REP…
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow`…
Integrate AI swarms with GitHub Actions to create intelligent, self-organizing CI/CD pipelines that adapt to your codebase.
> /plugin marketplace add spencermarx/open-code-review > /plugin install ocr@aclarify
How it fires
How this command gets triggered: by you, by Claude, or both.
/workflow-automationContext preview
What this command does when you run it.
Integrate AI swarms with GitHub Actions to create intelligent, self-organizing CI/CD pipelines that adapt to your codebase.
Integrate AI swarms with GitHub Actions to create intelligent, self-organizing CI/CD pipelines that adapt to your codebase.
# .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@v3
- 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-pipeline# Generate workflows based on code analysis npx ruv-swarm actions generate-workflow \ --analyze-codebase \ --detect-languages \ --create-optimal-pipeline
# Smart test runner
- name: Swarm Test Selection
run: |
npx ruv-swarm actions smart-test \
--changed-files ${{ steps.files.outputs.all }} \
--impact-analysis \
--parallel-safe# .github/workflows/polyglot-swarm.yml
name: Polyglot Project Handler
on: push
jobs:
detect-and-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Detect Languages
id: detect
run: |
npx ruv-swarm actions detect-stack \
--output json > stack.json
- name: Dynamic Build Matrix
run: |
npx ruv-swarm actions create-matrix \
--from stack.json \
--parallel-builds# .github/workflows/security-swarm.yml
name: Intelligent Security Scan
on:
schedule:
- cron: '0 0 * * *'
workflow_dispatch:
jobs:
security-swarm:
runs-on: ubuntu-latest
steps:
- name: Security Analysis Swarm
run: |
# Use gh CLI for issue creation
SECURITY_ISSUES=$(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"
done# Optimize existing workflows npx ruv-swarm actions optimize \ --workflow ".github/workflows/ci.yml" \ --suggest-parallelization \ --reduce-redundancy \ --estimate-savings
# 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"
fi# Optimize resource usage npx ruv-swarm actions resources \ --analyze-usage \ --suggest-runners \ --cost-optimize
# 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-complex# 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-execute# 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-regression// 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 } = require('ruv-swarm');
async function run() {
const swarm = new SwarmAction({
topology: 'mesh',
agents: ['analyzer', 'optimizer']
});
await swarm.execute(core.getInput('task'));
}# Generate test matrix from code analysis
jobs:
generate-matrix:
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
steps:
- id: set-matrix
run: |
MATRIX=$(npx ruv-swarm actions test-matrix \
--detect-frameworks \
--optimize-coverage)
echo "matrix=${MATRIX}" >> $GITHUB_OUTPUT
test:
needs: generate-matrix
strategy:
matrix: ${{fromJson(needs.generate-matrix.outputs.matrix)}}AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Repo: spencermarx/open-code-review
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow`…
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Identify and resolve performance bottlenecks in your development workflow.
Generate comprehensive performance reports for swarm operations.
Reduce token consumption while maintaining quality through intelligent coordination.