What is the Ralph Loop in Blueprint Develop?

The Ralph Loop is an optional iterative mode that enables Claude to autonomously run tests, identify failures, and refine code until all tests pass and postmortem compliance is met.

Does it support standard Python testing tools?

Yes, it is designed to integrate seamlessly with tools like pytest for executing unit tests, integration tests, and PM regression checks.

What are the prerequisites for using blueprint-develop?

Users should have a technical plan (usually from blueprint-plan), a backtest framework in place, and access to the project's postmortem directory.

How does this skill prevent trading strategy regressions?

It mandates a 'Phase 0' check of existing postmortem records and requires writing specific PM regression tests before implementing any new feature logic.

Can I use this for non-trading projects?

While optimized for the trading strategy lifecycle, its TDD and postmortem-first principles can be adapted for any mission-critical software development requiring high reliability.

Blueprint Develop

Name: Blueprint Develop
Author: morris-y

bymorris-y

Security & Testing

Implements trading strategies using test-driven development and rigorous postmortem compliance to prevent architectural regressions.

About

Blueprint Develop is a specialized Claude Code skill designed for the robust implementation of quantitative trading strategies. It enforces a strict test-driven development (TDD) workflow that prioritizes system safety by integrating a historical database of failures (postmortems) into the coding process. By utilizing the iterative 'Ralph Loop' for complex logic refinement and ensuring strict interface alignment with backtesting frameworks, this skill enables developers to build reliable, production-ready trading systems while proactively mitigating known risks and anti-patterns.

Key Features

Test-Driven Development (TDD) workflow specialized for strategy implementation
Ralph Loop iterative mode for autonomous self-correction and refinement
0 GitHub stars
Postmortem regression prevention using historical failure records
Atomic implementation rules to ensure code simplicity and maintainability
Automated interface alignment with existing backtesting frameworks

Use Cases

Iteratively debugging complex algorithmic logic using automated test-fix cycles
Implementing new quantitative trading strategies from technical specifications
Modifying existing strategy modules while ensuring safety compliance

About

Key Features

Test-Driven Development (TDD) workflow specialized for strategy implementation
Ralph Loop iterative mode for autonomous self-correction and refinement
0 GitHub stars
Postmortem regression prevention using historical failure records
Atomic implementation rules to ensure code simplicity and maintainability
Automated interface alignment with existing backtesting frameworks

Use Cases

Iteratively debugging complex algorithmic logic using automated test-fix cycles
Implementing new quantitative trading strategies from technical specifications
Modifying existing strategy modules while ensuring safety compliance