agent-builder

•

51.3k83733 months ago

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 Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration

Quick Install

npxskills add shareai-lab/learn-claude-code--skill agent-builder

Instructions

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 coherent behavior.

Design principle: Context is precious. Isolate noisy subtasks. Truncate verbose outputs. Protect clarity.

Agent Design Thinking

Before building, understand:

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Tags & Topics

agentclaude-codeteachingagent-developmentai-agentclaude

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 coherent behavior.

Design principle: Context is precious. Isolate noisy subtasks. Truncate verbose outputs. Protect clarity.

Agent Design Thinking

Before building, understand:

Level	What to add	When to add it
Basic	3-5 capabilities	Always start here
Planning	Progress tracking	Multi-step tasks lose coherence
Subagents	Isolated child agents	Exploration pollutes context
Skills	On-demand knowledge	Domain expertise needed

Pattern	Problem	Solution
Over-engineering	Complexity before need	Start simple
Too many capabilities	Model confusion	3-5 to start
Rigid workflows	Can't adapt	Let model decide
Front-loaded knowledge	Context bloat	Load on-demand
Micromanagement	Undercuts intelligence	Trust the model

agent-builder

Agent Builder

The Core Philosophy

The Three Elements

1. Capabilities (What can it DO?)

2. Knowledge (What does it KNOW?)

3. Context (What has happened?)

Agent Design Thinking

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Agent Builder

The Core Philosophy

The Three Elements

1. Capabilities (What can it DO?)

2. Knowledge (What does it KNOW?)

3. Context (What has happened?)

Agent Design Thinking

Progressive Complexity

Domain Examples

Key Principles

Anti-Patterns

Resources

The Agent Mindset

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