- 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
Added 'The prompt needs to be displayed in your response in a single block of text that can be copied and pasted' as previous version was sporadically not displaying the prompt text. The proposed additions seem to improve the frequency of the prompt being displayed in Claude Code.
The prompt-engineer agent now explicitly shows the complete prompt text
instead of just describing it. Changes include:
- Added mandatory instruction to always display prompts
- Created required output format with prompt section
- Updated deliverables to prioritize showing the actual prompt
- Added example demonstrating proper output format
- Included completion checklist to ensure prompts are displayed
This ensures users get the actual prompts they can use immediately.
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
