Presets for guiding agentic AI workflows
Project description
Sheave 🧭
Presets for guiding agentic AI workflows.
Because tasks shouldn't get lost in translation.
📘 Roadmap · 📝 Release Notes
[!NOTE] Heads up: the AI cooked dinner. It's edible, but watch your step. Detailed bug reports welcome.
🚀 Quick Start
Sheave provides preset rules, workflows, and commands for AI-powered IDE integrations like Cursor, Claude Desktop, and similar tools. These presets can be selectively enabled, similar to how you configure linter rules.
Installation
# Using poetry
poetry add sheave
# Using pip
pip install sheave
Basic Usage
# Enable specific presets (coming soon)
sheave enable --rules code-quality --workflows testing
# List available presets
sheave list
# Apply presets to your project
sheave sync
🎯 What is Sheave?
Sheave offers a curated collection of AI guidance presets that you can selectively enable:
-
Preset Rules: Pre-configured prompt rules that get added to each AI interaction
- Code quality standards
- Testing best practices
- Documentation guidelines
- Security considerations
-
Preset Workflows: Common workflows you can point an AI assistant to
- Setting up new features
- Refactoring patterns
- Debugging strategies
- Code review checklists
-
Preset Commands: Ready-to-use commands for common development tasks
- Generate test files
- Create documentation
- Run code quality checks
- Format and lint code
All of these leverage functionality that already exists in your IDE — Sheave just provides a well-organized, selective set of presets you can opt into, similar to how ruff lets you choose which linting rules to enable.
✨ Features
- 🎯 Selective presets — Choose only the rules, workflows, and commands you need
- 🔌 IDE integration — Works with Cursor, Claude Desktop, and similar tools
- 📦 Zero dependencies — Lightweight and focused
- 🧩 Modular — Enable or disable presets independently
- 🔧 Configurable — Customize presets to match your project's needs
⚖️ License
You're free to use, copy, and modify the script under the standard MIT terms.
The additional rider simply requests that this project not be used to train or fine-tune AI/ML systems until the author deems fair compensation frameworks exist.
Normal use, packaging, and redistribution for human developers are unaffected.
🪶 Summary
Use it. Hack it. Ship it.
It's MIT-licensed, minimal, and meant to stay out of your way — just with one polite request: don't feed it to the AIs (yet).
✨ AI was used to help draft language, formatting, and code — plus we just love em dashes.
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