This teaches you to build AI agents by getting out of your own way. The core insight is that Claude already knows how to be an agent, you just need to provide capabilities (what it can do), knowledge (what it knows), and clean context. Start with 3-5 capabilities in a simple loop where the model decides whether to act or respond. Most agents never need subagents or complex planning. The philosophy is refreshingly anti-engineering: trust the model to reason, don't pre-specify workflows, add complexity only when real usage demands it. Includes minimal working examples and templates for capabilities.

skills.sh installs
286
GitHub stars
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last updated
Aug 21, 2026

Install

$ npx -y skills add shareai-lab/learn-claude-code --skill agent-builder --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

Design principle: Start with 3-5 capabilities. Add more only when the agent consistently fails because a capability is missing.

2. Knowledge (What does it KNOW?)

Domain expertise injected on-demand: policies, workflows, best practices, schemas.

Design principle: Make knowledge available, not mandatory. Load it when relevant, not upfront.

3. Context (What has happened?)

Sponsors

Details

Repository
github.com/shareai-lab/learn-claude-code
Categories
DevOps & CI/CD, Documentation, Code Review & Quality, AI & Agent Building, Data Science & ML, Productivity & Planning, Automation & Workflows, Design & UI/UX
First seen
Jun 3, 2026

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