Repository Restructure:
- Move all 83 agent .md files to agents/ subdirectory
- Add 15 workflow orchestrators from commands repo to workflows/
- Add 42 development tools from commands repo to tools/
- Update README for unified repository structure
The commands repository functionality is now fully integrated, providing
complete workflow orchestration and development tooling alongside agents.
Directory Structure:
- agents/ - 83 specialized AI agents
- workflows/ - 15 multi-agent orchestration commands
- tools/ - 42 focused development utilities
No breaking changes to agent functionality - all agents remain accessible
with same names and behavior. Adds workflow and tool commands for enhanced
multi-agent coordination capabilities.
- Add comprehensive database-architect agent for data layer design
- Technology selection (SQL/NoSQL/TimeSeries/NewSQL)
- Schema design and data modeling
- Migration planning and strategy
- Indexing, caching, and scalability patterns
- Handles both greenfield and re-architecture
- Works BEFORE backend-architect in workflow
- Enhance backend-architect agent with modern patterns
- Expand from 31 to 283 lines with comprehensive capabilities
- Add GraphQL, gRPC, WebSockets, event-driven architectures
- Include resilience patterns, observability, and security
- Add testing strategies and deployment patterns
- Defer database design to database-architect
- Works AFTER database-architect in workflow
Closes#70
- Added observability-engineer to Performance & Observability section
- Updated total agent count from 82 to 83
- Renamed "Performance & Research" to "Performance & Observability"
- Updated Opus model count from 21 to 22 agents
- Added observability-engineer to Critical Analysis category in Opus section
- Add Google SRE methodology and Fortune 500 enterprise patterns
- Include GDPR compliance and container security monitoring
- Add OpenTelemetry ecosystem and vendor-neutral standards
- Include edge computing, IoT, and serverless monitoring
- Add business intelligence integration capabilities
- Add anomaly detection and predictive analytics
- Include root cause analysis automation
- Add intelligent alert clustering and noise reduction
- Include time series forecasting and capacity planning
- Add NLP for log analysis and MLOps integration
- Comprehensive coverage of 11 observability capability areas
- Supports Prometheus, Grafana, Jaeger, ELK stack, OpenTelemetry
- Includes SLI/SLO management, chaos engineering, and incident response
- Production-ready monitoring strategies and cost optimization
- Follows same quality standards as existing agents
- Addresses critical gap in production reliability expertise
- Updated agent count from 78 to 82
- Added 3 new security coding agents (backend, frontend, mobile) to Code Quality & Review section
- Added blockchain-developer agent to Specialized Domains section
- All new agents properly linked with descriptions
- Comprehensive coverage of 11 blockchain capability areas
- Supports Ethereum, Solana, Cosmos, and other major blockchains
- Includes DeFi, NFT, and enterprise blockchain patterns
- Production-ready security and auditing best practices
- Follows same quality standards as existing agents
- Addresses major gap in Web3 development expertise
- Shorten descriptions in all three security coder agents to 2-3 lines
- Ensure mobile-security-coder.md is complete and properly formatted
- Address overlap concerns with existing security-auditor.md
- All agents now use model: opus for security-critical tasks
- Change model from sonnet to opus for all three security coder agents
- Add clear differentiation from security-auditor with use-case boundaries
- Implement environment-specific clickjacking protection guidance
- Add WebView data cleanup recommendations for mobile security
- Standardize terminology to use 'allowlist' consistently
- Complete cross-platform security examples for mobile development
- Fix repetitive phrasing in behavioral traits
- Align all security practices with reference material requirements
- Convert all agent listings to professional tables
- Add structured tables with Agent, Model, and Description columns
- Reorganize model configuration section with distribution tables
- Enhance agent selection guide with task-based tables
- Maintain consistency with commands repository formatting
- Improve readability and information accessibility
- Keep all existing content while improving presentation
- Remove all emoji for cleaner professional appearance
- Reorganize content with logical categorical structure
- Improve technical clarity and concise descriptions
- Add clear hierarchy with consistent formatting
- Focus on functionality rather than marketing language
- Better organization of agents by functional domains
- Streamline model configuration section
- Enhance usage examples with technical focus
- Reduce content from 558 to 438 lines while maintaining all essential information
- Add new tdd-orchestrator agent for managing complete TDD workflows
- Enhance test-automator with dedicated TDD capabilities and metrics
- Add TDD excellence section with red-green-refactor cycle automation
- Include support for Chicago and London TDD schools
- Add property-based TDD approaches and BDD integration
- Include TDD cycle metrics tracking and compliance monitoring
- Update README with new agent and TDD examples
- Add comprehensive TDD usage examples and documentation
This enhancement provides full TDD orchestration capabilities across
the agent collection, enabling test-first development with automated
cycle management, metrics tracking, and multi-agent coordination.
Addresses issue #64: TDD workflow support
- Enhanced all agents with 2024/2025 best practices and modern tooling
- Standardized format with 8-12 detailed capability subsections per agent
- Added Django Pro and FastAPI Pro specialist agents
- Updated model assignments (Sonnet/Haiku) based on task complexity
- Integrated latest frameworks: React 19, Next.js 15, Flutter 3.x, Unity 6, etc.
- Enhanced infrastructure agents with GitOps, OpenTelemetry, service mesh
- Modernized AI/ML agents with LLM integration, RAG systems, vector databases
- Updated business agents with AI-powered tools and automation
- Refreshed all programming language agents with current ecosystem tools
- Enhanced documentation with comprehensive README reflecting all improvements
Total changes: 5,945 insertions, 1,443 deletions across 40 files
All agents now provide production-ready, enterprise-level expertise
- Update agent count from 71 to 75 to reflect current repository state
- Correct model assignment counts: Haiku (15), Sonnet (45), Opus (15)
- Add hr-pro to Sonnet model section and Business & Marketing guidance
- Fix model distribution after recent PR merges
- Add comprehensive Flutter development agent with expertise in Dart, widgets, and cross-platform features
- Supports state management patterns (Provider, Riverpod, Bloc, GetX)
- Handles platform-specific integrations for iOS, Android, Web, and desktop
- Includes performance optimization, testing strategies, and deployment configuration
- Update README to reflect 61 total agents (37 Sonnet agents)
- Added scala-pro to the Language Specialists section
- Updated descriptions to highlight Apache Pekko (Akka's open-source successor)
- Included ZIO/Cats Effect and Scala 3 features in the descriptions
- Maintained consistent formatting with other language specialist entries
- Add mermaid-expert.md with Sonnet model configuration
- Update README.md to include mermaid-expert in Documentation section
- Update total agent count from 56 to 57
- Add mermaid-expert to Sonnet agents list (now 35 agents)
