Learning center · Updated July 2026

Build agents that hold up in production

Start with the workflow, document the boundaries, connect the right tools, and verify the result. These guides favor reusable operating knowledge over one-off prompt tricks.

Current signals

The agent stack is separating into clear layers

The most useful 2026 shift is not another model release. It is the emergence of portable formats for instructions, workflows, tools, agent interoperability, and commerce.

8 of 8 monitored primary sources verified · Latest source activity Jul 24, 2026

01

Repository context

AGENTS.md carries durable project commands and conventions across a growing set of coding agents.

02

Reusable procedures

Agent Skills package on-demand workflows in SKILL.md files. The official repository monitor is at revision 38a2ff82958a.

03

Tools and data

MCP 2025-11-25 is the monitored stable release; 2026-07-28-RC remains a preview. Authentication and independent security review remain essential.

04

Agent interoperability

A2A v1.0.1 is the current monitored stable release for Agent Cards, tasks, messages, artifacts, and protocol bindings.

05

Agent commerce

UCP covers the shopping journey and can pair with AP2 when verifiable payment authorization is required.

Choose a learning path

Each path starts with examples you can inspect, adapt, and validate against your own stack.

Learn each model on its own terms

Compare the context, reasoning, tool, and prompting patterns that make Claude, GPT, Gemini, Grok, and DeepSeek more reliable.

Explore model learning curves

Package reusable agent skills

Turn a repeatable procedure into a portable SKILL.md playbook with optional scripts, references, and assets.

Learn the Agent Skills format

Write durable agent instructions

Turn repository knowledge, commands, constraints, and review standards into a focused AGENTS.md file.

Browse AGENTS.md examples

Connect agents to real tools

Compare MCP servers, understand their prerequisites, and review the data or actions each integration exposes.

Explore MCP servers

Scope Cursor project rules

Learn when a rule should always apply, attach to a file pattern, or stay available for manual use.

Browse Cursor rules

Design an agent-to-agent workflow

Document triggers, actions, ownership, approvals, and failure handling before connecting two agents.

Explore A2A workflows

A reliable workflow

Context before automation

An agent is easier to trust when its inputs, permissions, approval points, and success criteria are explicit.

  1. 01

    Define the job

    State the outcome, owner, inputs, and measurable completion condition.

  2. 02

    Constrain the agent

    Document allowed tools, sensitive data, approval gates, and prohibited actions.

  3. 03

    Test the full path

    Verify the happy path, expected failures, retries, and the final user-visible result.

Verify against primary sources

Community examples are useful starting points. Product behavior and protocol details should be checked against their maintainers.

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