If you're working with LLMs and need guaranteed valid output formats, this is worth checking out. It enforces structure at the grammar level during generation, so you get valid JSON, XML, or code every time without post-processing or retries. Works with Pydantic models for type safety and supports local models through Transformers, llama.cpp, and vLLM. The speed claim is real because it constrains token sampling directly rather than generating then validating. Originally from dottxt.ai with 8,000+ GitHub stars. Most useful when you're building agents or tools that can't afford malformed responses breaking your pipeline.

skills.sh installs
359
GitHub stars
33.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill outlines --agent claude-code

Installs into .claude/skills of the current project.

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If you're working with LLMs and need guaranteed valid output formats, this is worth checking out. It enforces structure at the grammar level during generation, so you get valid JSON, XML, or code every time without post-processing or retries. Works with Pydantic models for type safety and supports local models through Transformers, llama.cpp, and vLLM. The speed claim is real because it constrains token sampling directly rather than generating then validating. Originally from dottxt.ai with 8,000+ GitHub stars. Most useful when you're building agents or tools that can't afford malformed responses breaking your pipeline.

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Repository
github.com/davila7/claude-code-templates
Category
Python
First seen
Jun 3, 2026

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