- 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 document start markers (---) to all YAML files
- Fixed line length issues by breaking long lines appropriately
- Removed trailing whitespace throughout all files
- Added proper newlines at end of files
- Fixed truthy value format ('on' -> 'on')
- Standardized YAML formatting across workflows and issue templates
- Used multi-line strings (>) for long descriptions
- Maintained readability while adhering to 80-character line limit
All YAML files now pass yamllint validation with only minor warnings remaining.
Problem Analysis:
- Original workflow used complex GitHub search API causing rate limiting issues
- Custom first-time contributor detection was unreliable and fragile
- Used pull_request instead of pull_request_target for PRs (security issue)
- Complex github-script logic prone to failures
Solution Implemented:
- Replaced custom logic with GitHub's official actions/first-interaction@v1
- Changed to pull_request_target for PR security and reliability
- Eliminated API rate limiting issues by removing search calls
- Simplified permissions and workflow structure
- Added comprehensive welcome messages with community guidelines
Benefits:
- More reliable first-time contributor detection
- No rate limiting issues
- Better security with pull_request_target
- Easier to maintain using official GitHub action
- Consistent messaging across issues and PRs
Also included alternative implementation example using garg3133/welcome-new-contributors@v1.2
- Added Code of Conduct with clear behavioral standards
- Created Contributing guidelines with submission requirements
- Implemented structured issue templates (bug reports, features, new agents, moderation)
- Disabled blank issues to enforce template usage
- Added automated content moderation via GitHub Actions:
* Real-time scanning for hate speech, threats, and profanity
* Automatic closure/locking of critical violations
* Moderation alerts for maintainer review
- Set up welcome system for new contributors with community guidelines
- Enabled GitHub Discussions as alternative to issues for general questions
- Closed and locked existing hate speech issue #30
- Blocked offending user account
This creates a multi-layered defense against inappropriate content while
maintaining an open, welcoming environment for legitimate contributors.
- 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
