Skill · em Dados, IA e pesquisa

instructor

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Procedência

Antes de instalar

4 arquivos · 34,9 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/skills/instructor/.

d=".claude/skills/instructor"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-instructor"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/providers.md" "$u/references/providers.md" \
  -o "$d/references/validation.md" "$u/references/validation.md"

Global: instala em ~/.claude/skills/instructor/.

d="$HOME/.claude/skills/instructor"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-instructor"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/providers.md" "$u/references/providers.md" \
  -o "$d/references/validation.md" "$u/references/validation.md"

Codex

Neste projeto: instala em .agents/skills/instructor/.

d=".agents/skills/instructor"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-instructor"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/providers.md" "$u/references/providers.md" \
  -o "$d/references/validation.md" "$u/references/validation.md"

Global: instala em ~/.agents/skills/instructor/.

d="$HOME/.agents/skills/instructor"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-instructor"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/providers.md" "$u/references/providers.md" \
  -o "$d/references/validation.md" "$u/references/validation.md"

Antigravity

Neste projeto: instala em .agents/skills/instructor/.

d=".agents/skills/instructor"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-instructor"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/providers.md" "$u/references/providers.md" \
  -o "$d/references/validation.md" "$u/references/validation.md"

Global: instala em ~/.gemini/antigravity-cli/skills/instructor/.

d="$HOME/.gemini/antigravity-cli/skills/instructor"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-instructor"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/providers.md" "$u/references/providers.md" \
  -o "$d/references/validation.md" "$u/references/validation.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.instructor

Prévia do SKILL.md

---
name: instructor
description: Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Prompt Engineering, Instructor, Structured Output, Pydantic, Data Extraction, JSON Parsing, Type Safety, Validation, Streaming, OpenAI, Anthropic]
dependencies: [instructor, pydantic, openai, anthropic]
---

# Instructor: Structured LLM Outputs

## When to Use This Skill

Use Instructor when you need to:
- **Extract structured data** from LLM responses reliably
- **Validate outputs** against Pydantic schemas automatically
- **Retry failed extractions** with automatic error handling
- **Parse complex JSON** with type safety and validation
- **Stream partial results** for real-time processing
- **Support multiple LLM providers** with consistent API

**GitHub Stars**: 15,000+ | **Battle-tested**: 100,000+ developers

## Installation

```bash
# Base installation
pip install instructor

# With specific providers
pip install "instructor[anthropic]"  # Anthropic Claude
pip install "instructor[openai]"     # OpenAI
pip install "instructor[all]"        # All providers
```

## Quick Start

### Basic Example: Extract User Data
…

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