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3802bca865
Plugin Scope Improvements: - Remove language-specialists plugin (not task-focused) - Split specialized-domains into 5 focused plugins: * blockchain-web3 - Smart contract development only * quantitative-trading - Financial modeling and trading only * payment-processing - Payment gateway integration only * game-development - Unity and Minecraft only * accessibility-compliance - WCAG auditing only - Split business-operations into 3 focused plugins: * business-analytics - Metrics and reporting only * hr-legal-compliance - HR and legal docs only * customer-sales-automation - Support and sales workflows only - Fix infrastructure-devops scope: * Remove database concerns (db-migrate, database-admin) * Remove observability concerns (observability-engineer) * Move slo-implement to incident-response * Focus purely on container orchestration (K8s, Docker, Terraform) - Fix customer-sales-automation scope: * Remove content-marketer (unrelated to customer/sales workflows) Marketplace Statistics: - Total plugins: 27 (was 22) - Tool coverage: 100% (42/42 tools referenced) - Fat plugins removed: 3 (language-specialists, specialized-domains, business-operations) - All plugins now have clear, focused tasks Model Migration: - Migrate all 42 tools from claude-sonnet-4-0/opus-4-1 to model: sonnet - Migrate all 15 workflows from claude-opus-4-1 to model: sonnet - Use short model syntax consistent with agent files Documentation Updates: - Update README.md with refined plugin structure - Update plugin descriptions to be task-focused - Remove anthropomorphic and marketing language - Improve category organization (now 16 distinct categories) Ready for October 9, 2025 @ 9am PST launch
61 lines
1.3 KiB
Markdown
61 lines
1.3 KiB
Markdown
---
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model: sonnet
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---
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# LangChain/LangGraph Agent Scaffold
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Create a production-ready LangChain/LangGraph agent for: $ARGUMENTS
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Implement a complete agent system including:
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1. **Agent Architecture**:
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- LangGraph state machine
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- Tool selection logic
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- Memory management
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- Context window optimization
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- Multi-agent coordination
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2. **Tool Implementation**:
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- Custom tool creation
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- Tool validation
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- Error handling in tools
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- Tool composition
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- Async tool execution
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3. **Memory Systems**:
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- Short-term memory
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- Long-term storage (vector DB)
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- Conversation summarization
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- Entity tracking
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- Memory retrieval strategies
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4. **Prompt Engineering**:
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- System prompts
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- Few-shot examples
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- Chain-of-thought reasoning
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- Output formatting
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- Prompt templates
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5. **RAG Integration**:
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- Document loading pipeline
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- Chunking strategies
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- Embedding generation
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- Vector store setup
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- Retrieval optimization
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6. **Production Features**:
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- Streaming responses
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- Token counting
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- Cost tracking
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- Rate limiting
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- Fallback strategies
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7. **Observability**:
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- LangSmith integration
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- Custom callbacks
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- Performance metrics
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- Decision tracking
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- Debug mode
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Include error handling, testing strategies, and deployment considerations. Use the latest LangChain/LangGraph best practices.
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