- 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
Implements claude-code v1.0.64's model customization feature by adding
model specifications to all 46 subagents based on task complexity:
- Claude Haiku 3.5 (8 agents): Simple tasks like data analysis, documentation
- Claude Sonnet 4 (26 agents): Development, engineering, and standard tasks
- Claude Opus 4 (11 agents): Complex tasks requiring maximum capability
This task-based model tiering ensures cost-effective AI usage while
maintaining quality for complex tasks.
Updates:
- Added model field to YAML frontmatter for all agent files
- Updated README with comprehensive model assignments
- Added model configuration documentation
