Consolidate workflows and tools from commands repository

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

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.

tools/langchain-agent.md

@@ -0,0 +1,60 @@
+---
+model: claude-sonnet-4-0
+---
+
+# LangChain/LangGraph Agent Scaffold
+
+Create a production-ready LangChain/LangGraph agent for: $ARGUMENTS
+
+Implement a complete agent system including:
+
+1. **Agent Architecture**:
+   - LangGraph state machine
+   - Tool selection logic
+   - Memory management
+   - Context window optimization
+   - Multi-agent coordination
+
+2. **Tool Implementation**:
+   - Custom tool creation
+   - Tool validation
+   - Error handling in tools
+   - Tool composition
+   - Async tool execution
+
+3. **Memory Systems**:
+   - Short-term memory
+   - Long-term storage (vector DB)
+   - Conversation summarization
+   - Entity tracking
+   - Memory retrieval strategies
+
+4. **Prompt Engineering**:
+   - System prompts
+   - Few-shot examples
+   - Chain-of-thought reasoning
+   - Output formatting
+   - Prompt templates
+
+5. **RAG Integration**:
+   - Document loading pipeline
+   - Chunking strategies
+   - Embedding generation
+   - Vector store setup
+   - Retrieval optimization
+
+6. **Production Features**:
+   - Streaming responses
+   - Token counting
+   - Cost tracking
+   - Rate limiting
+   - Fallback strategies
+
+7. **Observability**:
+   - LangSmith integration
+   - Custom callbacks
+   - Performance metrics
+   - Decision tracking
+   - Debug mode
+
+Include error handling, testing strategies, and deployment considerations. Use the latest LangChain/LangGraph best practices.