autoreskill-autopilot-controller

Classify and manage blockers in AutoResearch workflows with bounded full-auto control.

Updated May 27, 2026
One-click install
npx skills add https://github.com/Iranb/codex-autoresearch-skill-pack --skill autoreskill-autopilot-controller
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoreskill-autopilot-controller
Source: https://github.com/Iranb/codex-autoresearch-skill-pack/tree/main/skills/autoreskill-autopilot-controller
Command: npx skills add https://github.com/Iranb/codex-autoresearch-skill-pack --skill autoreskill-autopilot-controller

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the issue of workflow stalls and unclassified blockers in AutoResearch workflows, ensuring continuous progress.

Core Features & Use Cases

  • Blocker Classification: Identifies and classifies blockers into categories like repairable, degradable, and hard stop.
  • Autopilot Rules: Implements bounded automatic actions to keep the workflow moving, such as scheduling repairs, avoiding stalls, and enforcing budgets.
  • Use Case: When running an AutoResearch workflow, this Skill can automatically classify blockers and take appropriate actions, such as scheduling repairs or enforcing budget limits, to prevent workflow stalls.

Quick Start

Use the autoreskill-autopilot-controller skill to classify and manage blockers in your AutoResearch project.

Frequently Asked Questions about autoreskill-autopilot-controller

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

FAQPage Schema
How do I prevent workflow stalls in automated research processes?

To prevent workflow stalls in automated research processes, you need a system that classifies blockers and applies bounded automatic actions like scheduling repairs and enforcing budgets to maintain continuous progress.

What is bounded full-auto control for AutoResearch workflows?

Bounded full-auto control for AutoResearch workflows is a mechanism that automatically manages blockers—categorizing them as repairable, degradable, or hard stop—to prevent stalls and enforce budget limits.

How do I classify and manage blockers in an AutoResearch workflow?

You classify and manage blockers in an AutoResearch workflow by identifying them as repairable, degradable, or hard stop, then applying autopilot rules to schedule automated repairs and enforce budget constraints.

Can I enforce budget limits and schedule automated repairs during research automation?

Yes, you can enforce budget limits and schedule automated repairs during research automation by implementing autopilot rules that manage workflow state and apply bounded automatic actions to blockers.

Why does my automated research workflow keep stalling when encountering unclassified blockers?

Your automated research workflow keeps stalling because unclassified blockers lack automated handling rules, requiring a system to categorize them and trigger bounded full-auto actions like repair scheduling to ensure progress.