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
This prepares the repository for unified plugin marketplace integration.
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.
- 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
- 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
- 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)
- 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
