agentic-development

The Agentic Development skill provides a robust architectural framework for designing and implementing autonomous AI agents capable of executing complex, multi-step tasks. It is tailored for developers working with modern LLM-based agentic workflows who need type-safe validation, structured tool calling, and reliable agentic state management. By focusing on the 'Explore-Plan-Execute-Verify' cycle, this skill ensures that agents do not just perform blind actions, but operate with clear reasoning, verifiable tool usage, and defined success boundaries.

• Support for Pydantic AI in Python, providing deep integration with Pydantic for type-safe models, robust validation, and production-ready performance.

• Native implementation patterns for Claude Agent SDK in Node.js and Next.js, including streaming capabilities, multi-agent orchestration, and native tool definitions.

• Standardized project structure separating agent orchestrators, task-specific specialized agents, and shared tool registries.

• Integrated memory management patterns for both short-term conversation context and long-term persistent storage.

• Advanced architectural templates featuring clear separation between the Brain (LLM reasoning), Arms/Legs (API/tool execution), and Instructions (system prompts/boundaries).

• Intended for AI engineers, system architects, and developers building autonomous software agents for task automation, research, or complex code generation.

• Ideal for projects requiring multi-step logic where agents must search, analyze, plan, and verify results before proceeding to the next phase.

• Practical workflow: Start by gathering context through discovery steps, move to generating a verifiable step-by-step plan, execute using registered tools, and perform validation checks at every milestone.

• Operational constraints: Emphasizes the Plan-First principle to prevent hallucinations and inefficient token usage; enforces structured inputs and schemas for all tool interactions.

• Keywords: Agentic, AI Agents, Pydantic AI, Claude SDK, LLM, Autonomous Systems, Tool Calling, Multi-agent Orchestration, Task Automation, Prompt Engineering, Structured Data, Agentic Loops, Reasoning Engine.