factory-ralph-loop

Repeatedly run an agent until tasks complete using filesystem-backed state.

19|3|Updated Feb 4, 2021
One-click install
npx skills add https://github.com/laulauland/dotfiles --skill factory-ralph-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: factory-ralph-loop
Source: https://github.com/laulauland/dotfiles/tree/main/shared/.pi/agent/extensions/pi-factory/skills/factory-ralph-loop
Command: npx skills add https://github.com/laulauland/dotfiles --skill factory-ralph-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates iterative problem solving by repeatedly running an agent until a task is complete, using the filesystem as persistent memory to retain changes across iterations.

Core Features & Use Cases

  • Filesystem-backed state: preserves progress and artifacts between iterations.
  • Deterministic prompts: reuses the same instruction set to improve consistency.
  • Clear exit conditions: stops when success criteria (tests pass, lint clean, or tasks exhausted) are met.
  • Simple orchestration: a single loop that repeatedly invokes the agent until completion.
  • Common use cases: fix lint errors, pass test suites, or finish PRD-driven work in a codebase.

Quick Start

Run the Ralph Loop on your project and iteratively fix issues until all tasks are complete, with filesystem memory persisting across iterations.

Frequently Asked Questions about factory-ralph-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate lint fixing and test suite completion with persistent memory across iterations?▼

Automate iterative lint fixing and test completion by running an agent in a loop that uses the filesystem as persistent memory, retaining code changes and progress until all success criteria are met.

What is the best way to iteratively finish PRD-driven work in a codebase using an automated agent?▼

Iterative PRD-driven work is automated by repeatedly invoking an agent with deterministic prompts and a simple loop orchestrator, using filesystem-backed state to preserve artifacts until tasks are exhausted.

How does an agent loop use filesystem-backed state to automate repetitive software tasks?▼

An agent loop uses filesystem-backed state by writing progress and artifacts to the filesystem between iterations, ensuring the agent retains context and changes across repetitive runs without losing data.

Can I use a simple loop orchestrator to control agent iterations for repetitive codebase tasks?▼

Yes, a simple loop orchestrator controls agent iterations by repeatedly invoking the agent with deterministic prompts and checking explicit exit conditions like passing tests or clean lint results.

When do I need explicit exit conditions for an iterative agent loop in software engineering?▼

Explicit exit conditions are needed when an iterative agent loop must stop automatically upon meeting success criteria, such as when all tests pass, lint is clean, or PRD-driven tasks are fully exhausted.

Does the Ralph Loop work without external dependencies to automate iterative problem solving?▼

The Ralph Loop operates without external dependencies, relying solely on the filesystem for persistent memory and a simple orchestrator to control automated iterative problem solving until exit conditions are met.