Individual skill
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
16-prompt-engineering/guidance/SKILL.md
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- Last checked
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- 14,490
- Repository last updated
- Oct 11, 2026
- License
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- ai Repository topic
- ai-research Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- codex Repository topic
- gemini Repository topic
- gpt-5 Repository topic
- grpo Repository topic
- huggingface Repository topic
- prompt-engineering Declared skill tag
- guidance Declared skill tag
- constrained-generation Declared skill tag
- structured-output Declared skill tag
- json-validation Declared skill tag
- grammar Declared skill tag
- microsoft-research Declared skill tag
- format-enforcement Declared skill tag
- multi-step-workflows Declared skill tag
- engineering Derived category
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Read excerpt
# 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