Snips

Snips

A macOS-native snippet management tool designed for building LLM prompts from reusable text snippets.

Quick access via global shortcuts enables efficient search, selection, and combination of multiple snippets.

[](https://github.com/utensils/snips/actions/workflows/frontend-checks.yml) [](https://github.com/utensils/snips/actions/workflows/backend-checks.yml) [](https://codecov.io/gh/utensils/snips) [](https://opensource.org/licenses/MIT)

Background

I often include the same snippets in my prompts (eg. instructions to lint, update checklists, capture screenshots) and needed a way to quickly capture and combine these reusable pieces into comprehensive prompts for LLM interactions.

This project serves as a practical demonstration of my LLM-assisted development workflow. Rather than relying solely on scattered code comments and ad-hoc documentation, I structure projects around four foundational documents that guide both human developers and AI agents:

Documentation Structure

1. **[VISION.md](VISION.md)** - Product vision and strategic direction

   • Defines the product's purpose, target users, and core use cases
   • Establishes MVP feature scope and future enhancement roadmap
   • Serves as the north star for all development decisions
   • Helps LLMs understand the "why" behind features and architectural choices

2. **[STANDARDS.md](STANDARDS.md)** - Coding standards and quality requirements

   • Comprehensive coding standards for TypeScript and Rust
   • Tooling configuration (ESLint, Prettier, Clippy, ru