agentic-development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
npx skills add majiayu000/claude-skill-registry --skill agentic-development-alinaqi-claude-bootstrap-3 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Builds autonomous AI agents that perform multi-step tasks with tools, using either Python (Pydantic AI) or Node.js/Next.js (Claude Agent SDK).
How it works
- Presents framework choices: Python (Pydantic AI) as default, or Node.js/Next.js with Claude Agent SDK.
- Provides concrete code examples for both ecosystems to define agents, tools, and an agent loop.
- Outlines a project structure and a workflow pattern: Explore-Plan-Execute-Verify, including explicit planning that yields a JSON with steps, execution with step-wise verification, and a verification phase using tests and LLM checks.
- Describes tool definitions and implementations with patterns for read/write file tools and how tools are invoked and guarded.
- Shows patterns for multi-agent setups, memory/state handling, guardrails, and testing practices.
When to use it
Use when you want to build autonomous agents capable of planning, tool use, and verification across Python or Node.js environments. Triggered when planning to implement multi-step tasks with tool integration and rigorous verification.
What it can touch
- Tools: web_search, as shown in the Node.js example, plus file operations tools (read_file, write_file) with defined schemas.
- Codebase and agents under a project structure that includes src/agents, src/tools, prompts, memory, and skills directories.
Caveats
- Contains detailed structural and coding patterns but does not guarantee success; outcomes depend on implementation and testing.
- License indicated as MIT for the skill.
# Agentic Development Skill *Load with: base.md + llm-patterns.md + [language].md* For building autonomous AI agents that perform multi-step tasks with tools. **Sources:** [Claude Agent SDK](https://docs.anthropic.com/en/docs/agents-and-tools/claude-agent-sdk) | [Anthropic Claude Code Best Practices](https://www.anthropic.com/engineering/claude-code-best-practices) | [Pydantic AI](https://ai.pydantic.dev/) | [Google Gemini Agent Development](https://developers.googleblog.com/en/building-agents-google-gemini-open-source-frameworks/) | [OpenAI Building Agents](https://developers.openai.com/tracks/building-agents/) --- ## Framework Selection by Language | Language/Framework | Default | Why | |-------------------|---------|-----| | **Python** | **Pydantic AI** | Type-safe, Pydantic validation, multi-model, production-ready | | **Node.js / Next.js** | **Claude Agent SDK** | Official Anthropic SDK, tools, multi-agent, native streaming | ### Python: Pydantic AI (Default) ```python from pydantic_ai import Agent from pydantic import BaseModel class SearchResult(BaseModel): title: str url: str summary: str agent = Agent( 'claude-sonnet-4-20250514', result_type=list[SearchResult], system_prom
- Framework Selection by Language
- Python: Pydantic AI (Default)
- Node.js / Next.js: Claude Agent SDK (Default)
- Core Principle
- Agent Architecture
- Three Components (OpenAI)
- Project Structure
- Workflow Pattern: Explore-Plan-Execute-Verify
- 1. Explore Phase
- 2. Plan Phase (Critical)
- 3. Execute Phase
- 4. Verify Phase
- Tool Design
- Tool Definition Pattern
What does the agentic-development skill do?
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agentic-development-alinaqi-claude-bootstrap-3 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.