autonomous-loop

Orchestrate iterative task execution with Jidoka escalation until success or limit.

341|48|Updated Apr 4, 2025
One-click install
npx skills add https://github.com/WellApp-ai/Well --skill autonomous-loop-wellapp-ai
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: autonomous-loop
Source: https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/autonomous-loop
Command: npx skills add https://github.com/WellApp-ai/Well --skill autonomous-loop-wellapp-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates iterative task execution until success or a configured limit by orchestrating existing skills with Jidoka escalation.

Core Features & Use Cases

  • Autonomous loop orchestration that coordinates session-status, pr-review, qa-commit, and debug skills.
  • Configurable iteration controls with max_iterations and success_criteria, plus iteration logging and escalation handling.
  • Safety and escalation through Jidoka tiers to prevent unsafe automated changes.
  • Use Case: In a development cycle, repeatedly apply changes, run checks, and only commit when all checks pass or when a human triage decision is required.

Quick Start

Activate autonomous-loop mode by saying: "ralph mode" or "iterate until done" to start iterative execution.

Frequently Asked Questions about autonomous-loop

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

FAQPage Schema
How do I automate iterative code changes until QA validation passes?โ–ผ

Automated iterative task execution applies code changes and runs checks repeatedly until success criteria are met or a maximum iteration limit is reached. It orchestrates development cycles hands-off, escalating to human triage only when necessary.

What is Jidoka escalation in autonomous development loops?โ–ผ

Jidoka escalation is a safety mechanism that halts automated iteration and triggers human triage when automated changes become unsafe or continuously fail success criteria. It prevents unsafe modifications by escalating through defined tiers.

How do I configure max_iterations and success_criteria for an autonomous loop?โ–ผ

Configuring iteration controls involves setting max_iterations to limit execution cycles and defining success_criteria to determine when checks pass. The loop logs each iteration and handles escalation automatically based on these parameters.

Can I integrate session-status, pr-review, and debug skills within an autonomous loop?โ–ผ

Autonomous loop orchestration coordinates session-status, pr-review, qa-commit, and debug skills together. It applies changes, runs validations, and commits only when all integrated checks pass or a human triage decision is required.

What's the best way to handle error-triggered recovery in automated code review?โ–ผ

Error-triggered recovery is handled through continuous iteration that applies changes, runs QA validation, and escalates failures via Jidoka tiers. The loop repeats execution automatically until checks pass or the configured iteration limit is reached.

When should I avoid using autonomous loops for QA validation?โ–ผ

Avoid autonomous loops when automated changes risk unsafe modifications without human oversight, or when tasks lack clear success criteria. Jidoka escalation handles edge cases, but complex triage decisions may require manual intervention beyond configured limits.