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guidance

7.6

by zechenzhangAGI

184Favorites
217Upvotes
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-output

7.6

Rating

0

Installs

AI & LLM

Category

Quick Review

Exceptional skill documentation for Guidance constrained generation. The description is crystal clear and actionable for CLI agents. Comprehensive task knowledge with working code examples covering installation, core concepts (context managers, regex/grammar constraints, token healing), common patterns (JSON generation, classification, ReAct agents), and best practices. Logical structure with clear sections, cross-references to supporting files, and a comparison table. High novelty—constrained generation with regex/grammar and token healing is complex and would consume many tokens for a CLI agent to implement from scratch. Minor room for improvement in covering edge cases or debugging scenarios, but overall production-ready and highly valuable.

LLM Signals

Description coverage10
Task knowledge9
Structure9
Novelty9

GitHub Signals

891
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19
2
Last commit 0 days ago

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zechenzhangAGI

zechenzhangAGI

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zechenzhangAGI

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