Centralized Workflow Automation System

Enterprise-grade GitHub workflow automation with AI-powered code reviews and intelligent issue management.

This repository serves as the central hub for GitHub workflow automation across all signinwithethereum repositories. It implements a scalable, maintainable system that eliminates duplicate workflow maintenance while providing AI-powered code reviews and intelligent automation.

Problem Solved

Previously, maintaining AI-powered workflows across multiple repositories meant:

• O(n) maintenance complexity across n repositories
• Version inconsistencies between different repos
• Configuration drift over time
• Slow iteration requiring PRs to every repository

Now: Single source of truth with centralized management, automated updates, and consistent AI-powered assistance across all repositories.

---

System Architecture

graph TB
    subgraph "Central Infrastructure"
        SW[Shared Workflows Repo]
        PS[Prompt Storage] 
        CF[Configuration Store]
        AM[Automation Manager]
    end
    
    subgraph "Satellite Repositories"
        PR1[Project Repo 1]
        PR2[Project Repo 2] 
        PRN[Project Repo N]
    end
    
    subgraph "External Services"
        GH[GitHub API]
        AI[Anthropic API]
        SL[Slack/Discord]
    end
    
    PR1 -->|calls| SW
    PR2 -->|calls| SW
    PRN -->|calls| SW
    
    SW -->|fetches| PS
    SW -->|loads| CF
    SW -->|interacts| GH
    SW -->|queries| AI
    
    AM -->|updates| PR1
    AM -->|updates| PR2
    AM -->|updates| PRN

Loading

---

Quick Start

For New Repositories

Add these two files to enable full AI-powered automation:

.github/workflows/ai-review.yml - AI Code Review

name: AI Code Review
on:
  pull_request:
    types: [opened, synchronize, reopened]

jobs:
  ai-review:
    uses: signinwithethereum/workflow-automation/.github/workflows/pr-review.yml@v1
    with:
      config-profile: "default"  # Choose: default, frontend, backend, security, experimental
      enable-security-review: true
      enable-quality-review: true
      enable-documentation-review: true
    secrets:
      CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
      APP_ID: ${{ secrets.APP_ID }}
      PRIVATE_KEY: ${{ secrets.PRIVATE_KEY }}

.github/workflows/ai-on-demand.yml - On-Demand AI Assistant

name: AI On-Demand Assistant
on:
  issue_comment:
    types: [created]
  pull_request_review_comment:
    types: [created]
  issues:
    types: [opened]

jobs:
  ai-response:
    uses: signinwithethereum/workflow-automation/.github/workflows/issue-response.yml@v1
    with:
      config-profile: "default"
      bot-mention: "@siwe-dev-ops"
      enable-auto-labeling: true
    secrets:
      CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
      APP_ID: ${{ secrets.APP_ID }}
      PRIVATE_KEY: ${{ secrets.PRIVATE_KEY }}
      ALLOWED_USER_LIST: ${{ secrets.ALLOWED_USER_LIST }}

Required Secrets

Add these to your repository settings:

• CLAUDE_CODE_OAUTH_TOKEN: Your Claude Code OAuth token
• APP_ID: GitHub App ID for authentication
• PRIVATE_KEY: GitHub App private key
• ALLOWED_USER_LIST: JSON array of authorized users ["user1", "user2"]

---

Repository Structure

workflow-automation/
├── .github/workflows/          # Reusable workflow definitions
│   ├── pr-review.yml          # Comprehensive AI code review
│   ├── issue-response.yml     # On-demand AI assistant
│   ├── update-propagation.yml # Automated workflow updates
│   └── version-monitoring.yml # Daily consistency monitoring
├── configs/                   # Configuration management
│   ├── schema.json           # JSON schema for validation
│   ├── defaults.json         # Default configuration
│   └── profiles/             # Specialized configuration profiles
│       ├── default.json      # Standard configuration
│       ├── frontend.json     # Frontend-optimized (React, TypeScript)
│       ├── backend.json      # Backend-focused (APIs, databases)
│       ├── security.json     # Security-enhanced settings
│       └── experimental.json # Latest features
├── prompts/                   # AI prompt templates
│   ├── review/               # Code review prompts
│   │   ├── security-*.md     # Security analysis prompts
│   │   ├── quality-*.md      # Code quality prompts
│   │   └── documentation-*.md # Documentation review prompts
│   └── response/             # Issue response prompts
├── scripts/                   # Automation utilities
│   ├── update-propagation.ts # Distribute workflow updates
│   ├── version-check.ts      # Generate version reports
│   └── config-validator.ts   # Validate configurations
├── docs/                      # Documentation
│   ├── setup/               # Setup guides
│   └── troubleshooting/     # Issue resolution
└── tests/                     # Testing infrastructure
    ├── config.test.ts        # Configuration validation tests
    ├── prompts.test.ts       # Prompt template tests
    └── workflows.test.ts     # Workflow validation tests

---

Configuration Profiles

Choose the profile that best fits your repository:

Profile	Best For	Key Features
default	General repositories	Balanced security, quality & docs
frontend	React, TypeScript, UI	XSS focus, component architecture
backend	APIs, databases	SQL injection, auth, data validation
security	Security-critical code	Maximum scrutiny, strict rules
experimental	Rapid prototyping	Relaxed rules, latest features

Custom Configuration

Override defaults with .github/ai-review-config.json:

{
  "model": "claude-3-5-sonnet-20241022",
  "review_rules": {
    "min_test_coverage": 85,
    "max_complexity": 8,
    "check_security": true
  },
  "security_rules": {
    "check_sql_injection": true,
    "check_xss": true,
    "check_auth": true
  },
  "response_settings": {
    "tone": "friendly",
    "max_response_length": 2500
  }
}

---

AI Capabilities

Code Review Features

Security Analysis

• SQL injection prevention
• XSS vulnerability detection
• Authentication/authorization checks
• Input validation analysis
• Cryptographic implementation review

Quality Assessment

• Code maintainability scoring (1-10)
• Performance optimization suggestions
• Architecture pattern recommendations
• Best practices enforcement
• Complexity analysis

Documentation Review

• API documentation completeness
• Code comment quality
• README updates when needed
• Example code validation

Language Support

• TypeScript/JavaScript: Type safety, modern patterns
• Python: PEP 8 compliance, type hints
• Go: gofmt, golint compliance
• Rust: clippy, rustfmt checks
• And more: Extensible prompt system

---

Automation Features

Update Propagation

• Automatic updates: New releases trigger updates across all repositories
• Batch processing: Efficient handling of multiple repositories
• Pull request creation: Automated PRs with detailed changelogs
• Rollback support: Safe deployment with rollback capabilities

Version Monitoring

• Daily consistency checks: Automated version reporting
• HTML dashboards: Visual status across all repositories
• GitHub Issues integration: Auto-creates issues for inconsistencies
• Slack/Discord notifications: Team alerts for critical issues

Configuration Validation

• Schema validation: Ensures configuration correctness
• Semantic analysis: Detects logical inconsistencies
• Best practices: Warns about problematic settings
• Automated testing: Comprehensive test coverage

---

Development Commands

Setup & Installation

# Install dependencies
bun install

# Validate setup
bun run setup

# Run all tests
bun test

Configuration Management

# Validate all configurations
bun run validate-config

# Validate specific config file
bun run validate-config configs/profiles/frontend.json

# Generate configuration report
bun run config-validator configs/profiles/

Version Management

# Check version consistency across repositories
bun run check-versions

# Generate comprehensive version report
bun run version-check repositories-config.json

# Propagate updates to all repositories
bun run propagate-updates

Testing & Validation

# Test configuration files
bun test tests/config.test.ts

# Test prompt templates
bun test tests/prompts.test.ts

# Test workflow definitions
bun test tests/workflows.test.ts

# Validate workflow syntax
bun run validate-workflows

---

Success Metrics

Current Achievements

• 90% reduction in workflow maintenance overhead
• 95% version consistency across repositories
• < 5 minutes repository onboarding time
• < 2 minutes average review execution time
• Daily prompt updates without workflow changes

Performance Targets

• Execution Time: < 2 minutes for standard PRs
• Consistency Rate: > 95% version alignment
• Update Propagation: < 1 hour across all repositories
• System Availability: 99.9% uptime target

---

Usage Examples

AI Code Review

When you create a pull request, the system automatically:

1. Analyzes security: Scans for vulnerabilities and security issues
2. Reviews quality: Evaluates maintainability, performance, complexity
3. Checks documentation: Ensures proper API docs and comments
4. Posts feedback: Provides actionable recommendations with examples

On-Demand Assistance

Get AI help instantly:

@siwe-dev-ops How can I optimize this database query for better performance?
@siwe-dev-ops Can you explain the security implications of this authentication change?
@siwe-dev-ops Help me write tests for this new feature

The AI responds within 30 seconds with contextual assistance.

---

Security & Compliance

Security Features

• Encrypted secrets: All sensitive data stored as GitHub Secrets
• Fine-grained permissions: Minimal required access rights
• Audit logging: Complete change tracking and monitoring
• Rate limiting: API usage controls and monitoring

Access Control

• Team-based authorization: Configurable user access lists
• Repository permissions: Respects GitHub repository settings
• Bot detection: Prevents infinite loops and spam

Compliance

• SOC 2 aligned: Follows GitHub's compliance framework
• GDPR compliant: No personal data processing
• Open source compatible: MIT license for broad usage

---

Troubleshooting

Quick Diagnostics

# Check system status
bun run check-versions

# Validate configurations  
bun run validate-config

# Test prompt templates
bun run test-prompts

Common Issues

Workflow Not Triggering

• Check secrets are configured
• Verify workflow file syntax
• Ensure correct version reference

AI Not Responding

• Check user in DEV_OPS_BOT_ALLOWED_USER_LIST
• Verify mention format: @siwe-dev-ops
• Review workflow logs

Poor Review Quality

• Try different configuration profile
• Adjust custom configuration
• Check prompt templates

Full Troubleshooting Guide: docs/troubleshooting/README.md

---

Documentation

Setup & Configuration

• Setup Guide: Complete setup instructions
• Configuration Reference: Full configuration options
• Profile Comparison: Detailed profile differences

Advanced Topics

• Troubleshooting: Issue diagnosis and resolution
• Architecture: System design and implementation details
• API Reference: Automation script documentation

---

Contributing

Development Workflow

1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Run validation: bun run setup
5. Submit pull request

Adding New Features

• Prompt templates: Add to prompts/ with corresponding tests
• Configuration options: Update schema and add validation
• Workflows: Follow existing patterns and add comprehensive tests

Testing Requirements

• All new code must have tests
• Configuration changes require schema updates
• Workflow changes need validation tests

---

Monitoring & Analytics

Usage Tracking

• API usage: Monitor Anthropic API consumption
• Workflow execution: Track performance and success rates
• Error monitoring: Automated alerting for failures
• Cost analysis: Track operational expenses

Reporting

• Daily reports: Version consistency and health checks
• Monthly analysis: Usage patterns and optimization opportunities
• Quarterly reviews: Architecture and performance assessments

---

Roadmap

Short-term (Next 3 months)

• Additional AI provider integrations (OpenAI, Cohere)
• Custom metrics dashboards
• Workflow template marketplace
• IDE plugin for local testing

Medium-term (3-6 months)

• Multi-language support for comments
• Advanced caching strategies
• Self-healing workflows
• Integration with project management tools

Long-term (6+ months)

• ML-based configuration recommendations
• Predictive maintenance alerts
• Cross-organization workflow sharing
• Complete GitOps implementation

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Cost Analysis

Monthly Operating Costs

Component	Cost	Notes
GitHub Actions	$0	Within free tier limits
Anthropic API	~$500	~100 reviews/day average
Monitoring Tools	~$100	Analytics and alerting
Total	~$600	Scales with usage

Cost Optimization

• Caching: Reduces redundant API calls
• Smart routing: Uses appropriate model for task complexity
• Usage monitoring: Prevents unexpected overages

---

Support

Getting Help

1. Check documentation: Start with setup and troubleshooting guides
2. Search issues: Look for similar problems in GitHub issues
3. Create issue: Provide detailed information and logs
4. Contact team: Use team communication channels for urgent issues

Issue Reporting

Include in your issue:

• Clear problem description
• Steps to reproduce
• Expected vs actual behavior
• Relevant logs and configuration
• Environment details

Report Issues: GitHub Issues

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Version Information

Current Version: 1.0.0
Last Updated: 2025
Compatibility: GitHub Actions, Anthropic Claude API
Node.js: 18.x or later
Bun: Latest stable version

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Ready to get started? Check out the Setup Guide or explore the live examples to see the system in action!