AI Agent Bootcamp — AI skill for Claude Code
My journey building AI agents with Claude — progressively more advanced agentic systems.
How to install AI Agent Bootcamp
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open ArtJack/ai-agent-bootcamp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AI Agent Bootcamp does
My journey building AI agents with Claude — progressively more advanced agentic systems.
Alternatives in AI
- Cl4r1t4s — LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE 47.2k ★
- Dive Into Claude Code — A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems 2.1k ★
- Qiaomu Design — 偏执型设计顾问:反 AI 味设计 + 风格试衣间 + 58 站设计系统库的 Claude Code Skill Opinionated design advisor for Claude Code: anti-gener 513 ★
README
AI Agent Bootcamp
A collection of progressively advanced AI agents built with the Anthropic Claude API. Part of my journey into AI engineering.
What's Inside
`hello_claude.py`
Basic API integration — single message request/response with token accounting.
`first_agent.py`
First multi-turn agent implementing the **ReAct pattern** (Reason + Act). Demonstrates:
- Tool definition with JSON Schema
- Agent loop with stop-reason handling
- Parallel tool execution
- Multi-turn reasoning
Tools: `get_weather`, `calculate`
`agent_v2.py`
Enhanced agent with production-grade features:
- System prompt for behavior/personality control
- Three tools including currency conversion
- Graceful error handling for unknown inputs
- Pre-emptive reasoning (agent skips tools when it knows they'll fail)
- Structured logging of each turn and tool call
Tech Stack
- Python 3.12
- Anthropic Python SDK
python-dotenvfor secret management
Setup
python3.12 -m venv venv
source venv/bin/activate
pip install anthropic python-dotenv
# Add your API key to .env
echo "ANTHROPIC_API_KEY=sk-ant-..." > .env
python agent_v2.py
Concepts Demonstrated
- ReAct (Reasoning + Acting) loop
- Tool use / function calling
- Parallel tool invocation
- System prompt engineering
- Error handling in agentic systems
What's Next
- Streaming responses
- Conversational memory
- Model Context Protocol (MCP) integration
- RAG (Retrieval-Augmented Generation)
Related Skills
The AI Engineering Bootcamp
A 10-week intensive bootcamp focused on building production-ready AI agent applications. Learn advanced LLM co
Mastering Langgraph Agent Skill
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents, branching w
Developing Llamaindex Systems
Production-grade LlamaIndex agentic system skill for Claude Code. Covers semantic ingestion, property graphs,
Gmail Agent Shield
Email filters and agent instructions that defend OpenClaw, Claude Code, and similar agentic AI systems against
Orpheus CLI
An experimental AI coding agent built to explore multi-model orchestration, tool systems, and agentic workflow
Dapr Reliable Agentic Systems
Use Dapr Workflow and the Dapr Conversation API to run agentic AI applications reliably.
Related Agents
Presentation Vibe Coding
当用户想要更新、修改或修复 VIBE-CODING 演示文稿(presentation/vibe-coding-to-agentic-engineering/index.html)时,主动使用此 Agent — 包括幻灯
Brand Architect
Expert in building comprehensive brand identity systems from strategy through visual execution. Guides the com
Agentica Agent
You are a specialized agent for building Python agents using the Agentica SDK. You implement agentic functions