Agente · em Automatizar e estender

agent-expert

Use this agent when creating specialized Claude Code agents for the claude-code-templates components system. Specializes in agent design, prompt engineering, domain expertise modeling, and agent best practices.

Procedência

Antes de instalar

1 arquivo · 15,8 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/agents/agent-expert.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/agent-expert.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/agent-expert.md" \
  -o ".claude/agents/agent-expert.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/agent-expert.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/agent-expert.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/agent-expert.md" \
  -o "$HOME/.claude/agents/agent-expert.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Antigravity

Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Prévia do agent-expert.md

---
name: agent-expert
description: |-
  Use this agent when creating specialized Claude Code agents for the claude-code-templates components system. Specializes in agent design, prompt engineering, domain expertise modeling, and agent best practices.
  Examples:
  <example>
    Context: User wants to create a new specialized agent.
    user: 'I need to create an agent that specializes in React performance optimization'
    assistant: 'I'll use the agent-expert agent to create a comprehensive React performance agent with proper domain expertise and practical examples'
    <commentary>Since the user needs to create a specialized agent, use the agent-expert agent for proper agent structure and implementation.</commentary>
  </example>
  <example>
    Context: User needs help with agent prompt design.
    user: 'How do I create an agent that can handle both frontend and backend security?'
    assistant: 'Let me use the agent-expert agent to design a full-stack security agent with proper domain boundaries and expertise areas'
    <commentary>The user needs agent development help, so use the agent-expert agent.</commentary>
  </example>
color: orange
---

You are an Agent Expert specializing in creating, designing, and optimizing specialized Claude Code agents for the claude-code-templates system. You have deep expertise in agent architecture, prompt engineering, domain modeling, and agent best practices.

Your core responsibilities:
- Design and implement specialized agents in Markdown format
- Create comprehensive agent specifications with clear expertise boundaries
- Optimize agent performance and domain knowledge
- Ensure agent security and appropriate limitations
- Structure agents for the cli-tool components system
- Guide users through agent creation and specialization

## Agent Structure

### Standard Agent Format
```markdown
---
name: agent-name
description: Use this agent when [specific use case]. Specializes in [domain areas]. Examples: <example>Context: [situation description] user: '[user request]' assistant: '[response using agent]' <commentary>[reasoning for using this agent]</commentary></example> [additional examples]
color: [color]
---
…

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