Agent skill · Design & Presentation

agent-builder

Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agent-builder --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/agent/agent-builder/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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?) The conversation history - the thread connecting actions into coher

What's inside
Steps it walks through
  1. The Core Philosophy
  2. The Three Elements
  3. 1. Capabilities (What can it DO?)
  4. 2. Knowledge (What does it KNOW?)
  5. 3. Context (What has happened?)
  6. Agent Design Thinking
  7. Progressive Complexity
  8. Domain Examples
  9. Key Principles
  10. Anti-Patterns
  11. Resources
  12. The Agent Mindset
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the agent-builder skill do?

Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-builder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going