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guidance

8.7

by davila7

77Favorites
254Upvotes
0Downvotes

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

structured generation

8.7

Rating

0

Installs

AI & LLM

Category

Quick Review

Exceptional skill for constrained LLM generation using Microsoft's Guidance framework. The description clearly explains when and how to use the skill, covering regex constraints, grammar-based generation, token healing, and multi-step workflows. Task knowledge is comprehensive with working code examples for JSON generation, classification, ReAct agents, and data extraction. Structure is excellent with logical progression from basics to advanced patterns, clear sections, and references to supplementary files. The skill provides high novelty by enabling grammatical constraints and token healing that would require significant custom implementation otherwise. Minor room for improvement in making the description slightly more concise while maintaining clarity. Overall, this is a production-ready skill that meaningfully reduces complexity and token costs for structured generation tasks.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

18,073
1,635
132
71
Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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davila7

Skill Author

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