Agent Builder

by shareAI-lab

Agent Builder is an AI Engineering skill for Claude Code, published by shareAI-lab in learn-claude-code.

74K stars12K forkson shareAI-lab/learn-claude-codeAdded 2026/08/13Repository updated 2026/08/12

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Install in seconds

Install Agent Builder

Copy Agent Builder into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/shareAI-lab/learn-claude-code/tree/main/skills/agent-builder ~/.claude/skills/agent-builder

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/shareAI-lab/learn-claude-code.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/agent-builder/SKILL.md in shareAI-lab/learn-claude-code
Installs to: ~/.claude/skills/agent-builder
Collection: One of 4 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Agent Builder does

Agent Builder provides a framework for designing and building AI agents for any domain, from customer service to research and operations. Use it when asked to create an agent, build an assistant, or understand agentic patterns.

Agent Builder is cataloged under AI Engineering on DirSkills. Agent Builder comes from a repository tagged agent, agent-development, ai-agent, claude and claude-code.

Documentation

README

Excerpt

Agent Builder

Build AI agents for any domain - customer service, research, operations, creative work, or specialized business processes.

The Core Philosophy

The model already knows how to be an agent. Your job is to get out of the way.

An agent is not complex engineering. It's a simple loop that invites the model to act:

LOOP:
  Model sees: context + available capabilities
  Model decides: act or respond
  If act: execute capability, add result, continue
  If respond: return to user

That's it. The magic isn't in the code - it's in the model. Your code just provides the opportunity.

The Three Elements

1. Capabilities (What can it DO?)

Atomic actions the agent can perform: search, read, create, send, query, modify.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Builder

What else does shareAI-lab publish alongside Agent Builder?
Agent Builder is one of 4 skills that DirSkills catalogs from shareAI-lab/learn-claude-code, the repository it ships in. Its siblings there include Code Review, MCP Builder and PDF Processing. Each one is a separate skill with its own page in this directory, installs the same way Agent Builder does, and is maintained by shareAI-lab in that same repository. The rest of the collection is listed on the shareAI-lab/learn-claude-code page.
How does Agent Builder compare to other AI Engineering skills?
Agent Builder ranks #62 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Builder against them. Open each page to compare what they document and how they install.