AI Agent Tutorial
Broad tutorial intent from learners who want a structured path to build and ship agents.
- ai agent tutorial
- ai agent course
- how to build ai agents
Agent Skill 資料庫
公式ドキュメント、フレームワーク、ワークフロー、セキュリティ、事例をまとめています。
High-Intent Keyword Clusters Worth Covering
Live SERP patterns favor tutorial, how-to, and checklist queries. The resource library should keep absorbing official references around these exact intents.
Function Calling Tutorial
High-fit intent tied to tool invocation, schema design, and agent execution contracts.
- function calling tutorial
- tool calling tutorial
- openai function calling tutorial
MCP Tutorial
Model Context Protocol remains a strong tutorial cluster for tool integration and context plumbing.
- mcp tutorial
- model context protocol tutorial
- mcp server tutorial
LangGraph and Multi-Agent Workflow
Search intent is strongly implementation-focused around orchestration, state machines, and multi-agent design.
- langgraph tutorial
- multi-agent workflow tutorial
- crewai tutorial
Prompt Injection Defense
Security long tails are specific and actionable, which makes them good targets for lessons and checklists.
- prompt injection defense
- ai agent security checklist
- agent prompt injection tutorial
Agent Testing and Observability
Teams searching for production readiness want testing, evals, traces, latency, and success-rate guidance.
- ai agent testing
- ai agent observability
- agent evals tutorial
Official Docs
- OpenAI Docs - AgentsOfficial agent capability overview and a good backbone for the course path.https://platform.openai.com/docs/guides/agents
- OpenAI Docs - Function CallingCore guidance for tool calling and parameter schema design.https://platform.openai.com/docs/guides/function-calling
- OpenAI Docs - Prompt EngineeringA practical guide to structured prompting patterns.https://platform.openai.com/docs/guides/prompt-engineering
- OpenAI Docs - Batch APIA useful entry point for lowering cost in large task runs.https://platform.openai.com/docs/guides/batch
- Anthropic Docs - Agents and ToolsAgent and tool design guidance in the Claude ecosystem.https://docs.anthropic.com/en/docs/agents-and-tools
- Anthropic Docs - Tool UseBest practices for tool use and tool protocol design.https://docs.anthropic.com/en/docs/tool-use
- Anthropic Docs - Prompt EngineeringPrompting patterns and control strategies for Claude.https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview
- Model Context Protocol - IntroductionCore concepts and ecosystem overview for MCP.https://modelcontextprotocol.io/introduction
- Model Context Protocol - QuickstartThe shortest route to building an MCP server.https://modelcontextprotocol.io/quickstart
Workflow
- Cursor Docs - RulesHow to encode reusable rules directly inside the IDE.https://docs.cursor.com/context/rules
- Dify DocsLow-code platform for building agent applications.https://docs.dify.ai/
- Flowise DocsVisual orchestration and deployment for LLM workflows.https://docs.flowiseai.com/
- n8n AI DocumentationAI building blocks inside automation workflows.https://docs.n8n.io/advanced-ai/
- OpenTelemetry DocsStandard observability model and tracing infrastructure.https://opentelemetry.io/docs/
- LangSmith ObservabilityLLM application tracing, debugging, and replay.https://docs.smith.langchain.com/
- GitHub Actions DocsCI/CD automation and release pipeline reference.https://docs.github.com/en/actions
- GitHub ReleasesVersion publishing and release note management.https://docs.github.com/en/repositories/releasing-projects-on-github/about-releases
- Semantic VersioningVersion compatibility rules for Skills and APIs.https://semver.org/
- Pytest DocsFoundational automated testing toolkit.https://docs.pytest.org/
- Playwright DocsE2E testing and screenshot-based regression checks.https://playwright.dev/docs/intro
Frameworks
- LangChain OverviewA foundational framework for building agent applications.https://python.langchain.com/docs/introduction/
- LangGraph DocsState-machine orchestration for agent systems.https://langchain-ai.github.io/langgraph/
- Microsoft AutoGen DocsMulti-agent collaboration and automation patterns.https://microsoft.github.io/autogen/stable/
- CrewAI DocsRole-based agent execution framework.https://docs.crewai.com/
- LlamaIndex DocsA common toolset for retrieval and knowledge indexing.https://docs.llamaindex.ai/
- Microsoft Semantic KernelEnterprise-grade orchestration and plugin system.https://learn.microsoft.com/semantic-kernel/overview/
Security
- OWASP Top 10 for LLM ApplicationsBaseline risk checklist for LLM application security.https://owasp.org/www-project-top-10-for-large-language-model-applications/
- GitHub Secure Coding with AISecurity considerations when using AI-assisted development.https://docs.github.com/en/copilot/responsible-use-of-github-copilot-features/responsible-use-of-github-copilot-code-completion
- PydanticAI DocsStructured input and output constraints with strong typing.https://ai.pydantic.dev/
Case Studies
- OpenAI CookbookOfficial practical cases and implementation samples.https://cookbook.openai.com/
- Anthropic - Building Effective AgentsEngineering methodology for building effective agents.https://www.anthropic.com/engineering/building-effective-agents
- OpenRouter DocumentationReference for multi-model routing and cost control.https://openrouter.ai/docs/quickstart