autopilot

Name: autopilot
Availability: InStock
Author: ArthTech-AI

Automate GitHub issue triage, implementation, QA, and pull-request preparation.

Updated Aug 27, 2026

Search Tags:#pull requests #github issues #risk assessment #qa automation #workflow state #autopilot #backlog triage

Ready to run

npx skills add https://github.com/ArthTech-AI/Marketplace-extensions --skill autopilot-arthtech-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: autopilot
Source: https://github.com/ArthTech-AI/Marketplace-extensions/tree/main/skills/autopilot
Command: npx skills add https://github.com/ArthTech-AI/Marketplace-extensions --skill autopilot-arthtech-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual overhead of triaging backlog work, planning fixes, coordinating implementation, and preparing pull requests while keeping human approval as the final gate.

Core Features & Use Cases

Backlog Triage: Ranks issues and PRs by urgency so the most important work is handled first.
End-to-End Delivery Loop: Moves through assessment, verification, planning, implementation, QA, self-review, and PR creation in one continuous flow.
Safety and Continuity: Tracks workflow state, evidence, completion criteria, and risk so work can pause, resume, and escalate safely.
Use Case: A maintainer can hand off a queue of open issues and let the Skill work through them autonomously until each item is ready for review.

Quick Start

Tell the autopilot skill to work on a specific issue or your backlog in urgent-first mode, and it will assess the item, implement the fix, run QA, and prepare a pull request for approval.

Frequently Asked Questions about autopilot

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

FAQPage Schema

How do I automate GitHub issue triage and pull request preparation?▼

Automating GitHub issue triage and pull request preparation involves ranking backlog items by urgency, implementing fixes, running QA automation, and preparing pull requests. An autonomous work loop handles this end-to-end delivery flow while keeping human approval as the final gate.

What is an autonomous issue-to-PR work loop?▼

An autonomous issue-to-PR work loop is a continuous delivery flow that moves through backlog assessment, verification, planning, implementation, QA, self-review, and PR creation. It removes manual overhead by processing open issues iteratively until each item is ready for human review.

How do I prioritize GitHub issues by urgency for backlog triage?▼

Prioritizing GitHub issues by urgency for backlog triage requires ranking open issues and PRs based on risk assessment and workflow state. An urgent-first mode assesses the queue and scopes execution so the most important work is handled first.

Can I pause and resume an automated backlog work loop safely?▼

You can pause and resume an automated backlog work loop safely by tracking persistent workflow state, evidence, completion criteria, and risk assessment. This continuity management ensures iterative delivery can stop and restart without losing scoped execution progress.

Does autonomous PR creation require human approval gates?▼

Autonomous PR creation requires human approval gates to ensure safe iterative delivery. The work loop prepares pull requests after self-review and QA automation, but a human must act as the final reviewer before the code is merged.

When should I not use an autonomous backlog triage workflow?▼

You should not use an autonomous backlog triage workflow when issues lack clear completion criteria or when risk assessment requires complex human judgment. Without persistent workflow state and scoping data, the automated delivery loop cannot safely manage execution.