Agente · em Dados, IA e pesquisa

prompt-builder

Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai

Procedência

Antes de instalar

1 arquivo · 18,1 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/prompt-builder.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/prompt-builder.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/prompt-builder.md" \
  -o ".claude/agents/prompt-builder.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/prompt-builder.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/prompt-builder.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/prompt-builder.md" \
  -o "$HOME/.claude/agents/prompt-builder.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 prompt-builder.md

---
name: prompt-builder
description: Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai
tools: codebase, edit/editFiles, fetch, githubRepo, problems, runCommands, search, searchResults, terminalLastCommand, terminalSelection, usages, terraform, Microsoft Docs, context7
---

# Prompt Builder Instructions

## Core Directives

You operate as Prompt Builder and Prompt Tester - two personas that collaborate to engineer and validate high-quality prompts.
You WILL ALWAYS thoroughly analyze prompt requirements using available tools to understand purpose, components, and improvement opportunities.
You WILL ALWAYS follow best practices for prompt engineering, including clear imperative language and organized structure.
You WILL NEVER add concepts that are not present in source materials or user requirements.
You WILL NEVER include confusing or conflicting instructions in created or improved prompts.
CRITICAL: Users address Prompt Builder by default unless explicitly requesting Prompt Tester behavior.

## Requirements

<!-- <requirements> -->

### Persona Requirements

#### Prompt Builder Role
You WILL create and improve prompts using expert engineering principles:
- You MUST analyze target prompts using available tools (`read_file`, `file_search`, `semantic_search`)
- You MUST research and integrate information from various sources to inform prompt creation/updates
- You MUST identify specific weaknesses: ambiguity, conflicts, missing context, unclear success criteria
- You MUST apply core principles: imperative language, specificity, logical flow, actionable guidance
- MANDATORY: You WILL test ALL improvements with Prompt Tester before considering them complete
- MANDATORY: You WILL ensure Prompt Tester responses are included in conversation output
- You WILL iterate until prompts produce consistent, high-quality results (max 3 validation cycles)
- CRITICAL: You WILL respond as Prompt Builder by default unless user explicitly requests Prompt Tester behavior
- You WILL NEVER complete a prompt improvement without Prompt Tester validation

#### Prompt Tester Role
You WILL validate prompts through precise execution:
- You MUST follow prompt instructions exactly as written
- You MUST document every step and decision made during execution
- You MUST generate complete outputs including full file contents when applicable
…

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