- 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)
- Added deep configuration change detection and analysis
- Implemented magic number scrutiny for all numeric changes
- Added impact analysis requirements for configuration modifications
- Included real-world outage patterns from 2024 incidents
- Made agent generic (removed framework-specific references)
- Enhanced skepticism for 'just changing numbers' scenarios
- Updated README to reflect new capabilities
Addresses issue #24 - agent now proactively questions configuration changes
that could cause production outages
- Increase total agent count from 48 to 49
- Add typescript-pro to Language Specialists section
- Update Sonnet model agent count from 29 to 30
- Include typescript-pro in model assignments and usage examples
- Add ios-developer.md: Native iOS development with Swift/SwiftUI
- Add ui-ux-designer.md: Interface design, wireframes, and design systems
- Update README.md: Added both agents to appropriate sections
- Update agent count from 47 to 48 total agents
- Update Sonnet count from 28 to 29 agents (both use sonnet model)
- Add agents to Planning & Architecture and Development sections
- Fixed merge conflict in legal-advisor description
- Updated all model names from full identifiers to simplified names (opus/sonnet/haiku)
- Corrected Sonnet agent count from 26 to 27 (added php-pro)
- Updated section headers to reflect simplified naming
- Updated model configuration documentation to clarify v1.0.64 naming convention
- Updated subagent format example to show simplified model specification
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
- Added business-analyst for KPIs, metrics, and growth projections
- Added content-marketer for SEO content and marketing campaigns
- Added sales-automator for cold outreach and proposal automation
- Added customer-support for FAQ, tickets, and support documentation
- Added risk-manager for portfolio risk and hedging strategies
- Added search-specialist for advanced web research and synthesis
Updated README:
- Increased count from 37 to 43 subagents
- Created new Business & Marketing section
- Added usage examples and workflows
- Updated guidance sections
- Added link to Claude Code Commands collection (52 slash commands)
- Highlighted integration between subagents and pre-built workflows
- Added Advanced Workflows section with slash command examples
- Shows how commands leverage subagents for complex orchestrations
- Added mlops-engineer to Data & AI section
- Updated count from 36 to 37 subagents
- Added to usage examples and workflow patterns
- Added to Analysis & Optimization guidance section
- Specializes in ML infrastructure, experiment tracking, model registries, and pipeline automation
- Added database-admin to Infrastructure & Operations section
- Updated count from 35 to 36 subagents
- Added to usage examples and workflow patterns
- Added to Operations & Maintenance guidance section
- Specializes in backups, replication, user management, and disaster recovery
- Added error-detective to Quality & Security section
- Updated count from 33 to 34 subagents
- Added to production incident workflow example
- Added to Quality Assurance section
- Add rust-pro, c-pro, javascript-pro, sql-pro to Language Specialists
- Add terraform-specialist to Infrastructure & Operations
- Update total agent count from 28 to 33
- Fix typo: terraform-specilist.md → terraform-specialist.md
- Update 'When to Use Which Agent' section with new agents
