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ralph-tui

Orchestrate multi-step AI task execution from a JSON PRD with quality gates.

Updated Jan 25, 2026
Search Tags:#automation#CLI#PRD#software-engineering#task-orchestration#ralph-tui#ai-agent-loop
One-click install
npx skills add https://github.com/hathbanger/fridas-choppers-gtm --skill ralph-tui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ralph-tui
Source: https://github.com/hathbanger/fridas-choppers-gtm/tree/main/.claude/skills/ralph-tui
Command: npx skills add https://github.com/hathbanger/fridas-choppers-gtm --skill ralph-tui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ralph TUI provides an automated orchestration loop for AI agents to execute multi-step tasks following a predefined PRD, reducing manual prompting and accelerating delivery.

Core Features & Use Cases

  • Autonomous task loop: orchestrates task selection, prompt construction using project context, executes your AI agent, and advances automatically.
  • PRD-driven workflows: supports creating and running PRDs expressed as JSON with stories and acceptance criteria.
  • Quality gates and status: runs checks and exposes session status with pause/resume capabilities for safe progression.

Quick Start

  • Install the JFL CLI: npm install -g jfl
  • Create or load a PRD and run: jfl ralph run --prd ./tasks/your-prd.json
  • Inspect progress and status: jfl ralph status

Frequently Asked Questions about ralph-tui

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

FAQPage Schema
How do I automate AI task execution from a PRD?▼

Automating AI task execution from a PRD requires an orchestration loop that parses predefined JSON requirements, constructs contextual prompts, executes the AI agent, and advances through stories automatically. Ralph TUI provides this autonomous multi-step workflow.

What is PRD-driven task orchestration in software engineering?▼

PRD-driven task orchestration is the process of breaking predefined product requirement documents into sequential stories with acceptance criteria and executing them via an AI agent loop. This approach reduces manual prompting by automating task progression.

How do I run an autonomous AI agent loop using a JSON PRD?▼

To run an autonomous AI agent loop, install the JFL CLI, load your JSON PRD containing stories and acceptance criteria, and execute the run command. The orchestrator automatically handles prompt construction, agent execution, and task advancement.

Can I pause and resume an automated AI task workflow?▼

Yes, you can pause and resume an automated AI task workflow. The orchestration loop exposes session status and includes quality gates to ensure safe progression, allowing you to inspect progress and halt execution when checks fail.

Do I need a specific format for my PRD to use task orchestration?▼

Yes, task orchestration requires your PRD to be expressed as JSON with defined stories and acceptance criteria. This structured format allows the AI agent loop to parse requirements, construct contextual prompts, and execute tasks autonomously.

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