Skill · em Dados, IA e pesquisa
guidance
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/skills/ai-research/prompt-engineering-guidance - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 9 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
4 arquivos · 61 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/guidance/.
d=".claude/skills/guidance" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-guidance" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/backends.md" "$u/references/backends.md" \ -o "$d/references/constraints.md" "$u/references/constraints.md" \ -o "$d/references/examples.md" "$u/references/examples.md"
Global: instala em ~/.claude/skills/guidance/.
d="$HOME/.claude/skills/guidance" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-guidance" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/backends.md" "$u/references/backends.md" \ -o "$d/references/constraints.md" "$u/references/constraints.md" \ -o "$d/references/examples.md" "$u/references/examples.md"
Codex
Neste projeto: instala em .agents/skills/guidance/.
d=".agents/skills/guidance" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-guidance" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/backends.md" "$u/references/backends.md" \ -o "$d/references/constraints.md" "$u/references/constraints.md" \ -o "$d/references/examples.md" "$u/references/examples.md"
Global: instala em ~/.agents/skills/guidance/.
d="$HOME/.agents/skills/guidance" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-guidance" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/backends.md" "$u/references/backends.md" \ -o "$d/references/constraints.md" "$u/references/constraints.md" \ -o "$d/references/examples.md" "$u/references/examples.md"
Antigravity
Neste projeto: instala em .agents/skills/guidance/.
d=".agents/skills/guidance" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-guidance" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/backends.md" "$u/references/backends.md" \ -o "$d/references/constraints.md" "$u/references/constraints.md" \ -o "$d/references/examples.md" "$u/references/examples.md"
Global: instala em ~/.gemini/antigravity-cli/skills/guidance/.
d="$HOME/.gemini/antigravity-cli/skills/guidance" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/prompt-engineering-guidance" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/backends.md" "$u/references/backends.md" \ -o "$d/references/constraints.md" "$u/references/constraints.md" \ -o "$d/references/examples.md" "$u/references/examples.md"
Peça ao Rook
Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.guidance
Prévia do SKILL.md
---
name: guidance
description: Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Prompt Engineering, Guidance, Constrained Generation, Structured Output, JSON Validation, Grammar, Microsoft Research, Format Enforcement, Multi-Step Workflows]
dependencies: [guidance, transformers]
---
# Guidance: Constrained LLM Generation
## When to Use This Skill
Use Guidance when you need to:
- **Control LLM output syntax** with regex or grammars
- **Guarantee valid JSON/XML/code** generation
- **Reduce latency** vs traditional prompting approaches
- **Enforce structured formats** (dates, emails, IDs, etc.)
- **Build multi-step workflows** with Pythonic control flow
- **Prevent invalid outputs** through grammatical constraints
**GitHub Stars**: 18,000+ | **From**: Microsoft Research
## Installation
```bash
# Base installation
pip install guidance
# With specific backends
pip install guidance[transformers] # Hugging Face models
pip install guidance[llama_cpp] # llama.cpp models
```
## Quick Start
### Basic Example: Structured Generation
```python
…