notebook-to-algorithm
CommunityTurn notebooks into production algorithms.
Software Engineering#code generation#validation#jupyter#quantitative finance#trading algorithm#notebook conversion
Authorlirielgozi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the conversion of exploratory trading strategies developed in Jupyter notebooks into robust, production-ready algorithms, complete with validation and database schema recommendations.
Core Features & Use Cases
- Notebook Conversion: Transforms
.ipynbfiles into modular Python or TypeScript code. - Parameter Preservation: Extracts and externalizes optimal parameters discovered during research.
- Automated Validation: Verifies that the generated code produces identical outputs to the original notebook.
- Database Schema Design: Recommends PostgreSQL schemas optimized for trading data.
- Use Case: A quantitative analyst has a backtested trading strategy in a Jupyter notebook and needs to deploy it as a reliable algorithm. This Skill handles the entire conversion, validation, and deployment preparation process.
Quick Start
Use the notebook-to-algorithm skill to convert the notebook located at 'path/to/strategy.ipynb' into a Python algorithm.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: notebook-to-algorithm Download link: https://github.com/lirielgozi/liri-skills/archive/main.zip#notebook-to-algorithm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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