jin-ralph

Execute, verify, and refine tasks iteratively with verifier feedback.

2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/cjinzy/jin-claude --skill jin-ralph
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jin-ralph
Source: https://github.com/cjinzy/jin-claude/tree/main/plugins/jin-claude/skills/jin-ralph
Command: npx skills add https://github.com/cjinzy/jin-claude --skill jin-ralph

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of completing a task by iteratively executing, verifying, and refining the implementation until a verifier approves it, ensuring robust and correct outcomes.

Core Features & Use Cases

  • Self-Referential Loop: Continuously executes and verifies tasks, incorporating feedback until successful.
  • Automated Verification: Utilizes a dedicated verifier agent to provide independent feedback.
  • Escalation: Automatically escalates to a more powerful agent if initial attempts fail.
  • Use Case: Use this skill to implement a complex feature. The skill will write the code, test it, get feedback from the verifier, fix any issues, and repeat until the verifier is satisfied or a maximum number of attempts is reached.

Quick Start

Use jin ralph to implement the new user authentication flow.

Frequently Asked Questions about jin-ralph

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

FAQPage Schema
How do I automate iterative code verification and refinement for complex feature implementation?

Automated iterative code verification uses a self-referential loop to execute, verify, and refine implementation tasks until a dedicated verifier approves the output, ensuring correct and robust code without manual review.

What is agent orchestration for continuous integration and how does escalation work?

Agent orchestration coordinates task execution and verification, automatically escalating unresolved issues to more capable agents when initial attempts fail, ensuring complex problems converge on a correct solution.

How do I set up a refinement loop to write, test, and fix code automatically?

A refinement loop automates writing code, testing it, getting verifier feedback, and fixing issues, repeating this cycle up to five times until the verifier is satisfied or maximum attempts are reached.

Can I use automated task completion for resolving complex code issues without manual intervention?

Yes, automated task completion handles complex issue resolution by iteratively executing, verifying, and refining implementations, automatically escalating to more powerful agents to converge on correct solutions independently.

What are the limitations of iterative task completion with automated verification?

Iterative task completion limits refinement to a maximum of five attempts, relying on verifier feedback to converge on solutions; if attempts are exhausted without approval, manual intervention may be required.

When do I need an automated verification loop for code implementation?

An automated verification loop is needed when implementing complex features that require robust outcomes, ensuring code is independently verified and refined through feedback until quality standards are met.