{"enrichment":{"faq":[{"a":"Agentic-development teaches you to build autonomous AI agents in Python using Pydantic AI, which provides type-safe tool definitions and reasoning loops. You'll learn to structure agents with clear schemas, implement the explore-plan-execute-verify workflow, and integrate external tools for complex task execution while maintaining safety and verifiability throughout the agent's reasoning process.","q":"How to build AI agents with Python using Pydantic AI?"},{"a":"Agentic-development compares both frameworks: Pydantic AI excels in Python with strong type safety and schema validation, while Claude Agent SDK is optimized for Node.js with native streaming support. The skill helps you choose based on your language preference and requirements\u2014Python for type-driven development, Node.js for real-time streaming agent responses and modern JavaScript ecosystems.","q":"What's the difference between Pydantic AI and Claude SDK for agents?"},{"a":"Agentic-development covers the explore-plan-execute-verify pattern for multi-step workflows. You'll learn to decompose complex tasks into stages where agents explore the problem space, create plans, execute tool calls, and verify results before proceeding. This structured approach ensures agents remain grounded, traceable, and capable of handling intricate reasoning tasks with external tool integration.","q":"How do you implement multi-step autonomous agent workflows?"},{"a":"Agentic-development emphasizes adding safety guardrails and human oversight to agents. You'll implement verification steps in workflows, define tool schemas with proper constraints, establish execution boundaries, and design handoff patterns for specialized tasks. These practices prevent agent drift, ensure tool calls stay within intended scope, and maintain human control over critical decisions.","q":"What guardrails and safety measures protect autonomous agents?"},{"a":"Agentic-development teaches tool design through schema-first approaches, ensuring each tool has clear input validation, output specifications, and safety constraints. You'll learn to test tools independently before agent integration, verify function calling behavior, and use type systems (especially Pydantic's validation) to catch errors early. Proper schemas make tools predictable and agents more reliable.","q":"How do you design and test agent tools with proper schemas?"},{"a":"Agentic-development covers agent memory systems including context windows, persistent state storage, and conversation history management. You'll explore patterns for tracking agent decisions across steps, maintaining tool execution history, and designing specialized agent handoffs. These techniques enable agents to reason over time, learn from past interactions, and coordinate complex multi-step workflows effectively.","q":"What agent patterns handle memory and state management?"}],"shadow_tags":["autonomous-reasoning","tool-orchestration","multi-step-workflows","llm-planning","agent-safety","structured-outputs","agent-memory","framework-comparison","verification-patterns","human-in-loop"],"summary_rewrite":"This skill teaches you to architect and deploy autonomous agents capable of reasoning, planning, and executing complex tasks with external tools. Learn framework selection by language\u2014Pydantic AI for Python's type safety, Claude Agent SDK for Node.js streaming\u2014plus the explore-plan-execute-verify workflow pattern that keeps agents grounded and verifiable."},"files":[{"bytes":24559,"path":"skills/agentic-development/SKILL.md","sha256":"a2e10dd2aabb775c04891fc68164c9ab7cd7300f6199b9a5297824db026c8cc9","url":"https://skillfed.io/files/alinaqi/maggy/agentic-development/d8d3fdb3/SKILL.md"}],"id":"alinaqi/maggy/agentic-development","links":{"html":"https://skillfed.io/alinaqi/maggy/agentic-development","md":"https://skillfed.io/alinaqi/maggy/agentic-development.md","repo":"https://github.com/alinaqi/maggy"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":56,"language":"Python","last_updated":"2026-07-14","license":"MIT","name":"agentic-development","publisher":"alinaqi","stars":703},"relations":{"similar":[{"id":"fernandofuc/nextjs-c-s/agent-builder-pydantic-ai"},{"id":"astronomer/agents/migrating-ai-sdk-to-common-ai"},{"id":"existential-birds/beagle/pydantic-ai-agent-creation"},{"id":"existential-birds/beagle/pydantic-ai-dependency-injection"},{"id":"DougTrajano/pydantic-ai-skills/pydanticai-docs"},{"id":"existential-birds/beagle/pydantic-ai-model-integration"},{"id":"existential-birds/beagle/pydantic-ai-common-pitfalls"},{"id":"fernandofuc/nextjs-c-s/nano-banana-image-combine"},{"id":"cline/skills/building-pydantic-ai-agents"},{"id":"pydantic/skills/building-pydantic-ai-agents"}]},"slug":{"owner":"alinaqi","repo":"maggy","skill":"agentic-development"},"version":"d8d3fdb3"}