autonomous-loops

Coordinate autonomous agent workflows for multi-step tasks with retry and validation hooks.

Updated Mar 26, 2026

Search Tags:#automation #orchestration #parallel #autonomy #copilot-cli #fleet

Ready to run

npx skills add https://github.com/RogerioSobrinho/codeme-copilot --skill autonomous-loops-rogeriosobrinho

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: autonomous-loops
Source: https://github.com/RogerioSobrinho/codeme-copilot/tree/main/skills/autonomous-loops
Command: npx skills add https://github.com/RogerioSobrinho/codeme-copilot --skill autonomous-loops-rogeriosobrinho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates and coordinates multiple agents to execute complex, multi-step tasks autonomously, reducing manual micromanagement and accelerating development workflows.

Core Features & Use Cases

Autopilot mode: agents complete tasks end-to-end with minimal prompts, handling steps automatically.
/fleet parallelism: run several agents simultaneously to accelerate large pipelines.
Orchestration & safety: built-in progress tracking, validation points, and retry handling for reliable outcomes.

Quick Start

Enable autopilot mode and initiate a parallel task run with a clear objective using the /fleet workflow.

Frequently Asked Questions about autonomous-loops

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

FAQPage Schema

How do I automate multi-step tasks with parallel agents?▼

You can automate multi-step tasks by enabling autopilot mode to let agents execute workflows end-to-end with minimal manual input. This coordinates autonomous agents to handle complex backend automation, reducing manual micromanagement and accelerating development.

What is parallel workload orchestration and when do I need it for large codebases?▼

Parallel workload orchestration coordinates multiple agents simultaneously to accelerate large pipelines. You need it when running multi-step tasks across large codebases, where sequential processing creates bottlenecks and manual coordination becomes unmanageable.

Can I run several agents simultaneously to accelerate backend pipelines?▼

Yes, you can run several agents simultaneously using the /fleet parallelism workflow. This allows you to initiate parallel task runs with clear objectives, executing multiple workloads at once to accelerate large automation pipelines.

How do I add validation points and retry handling to autonomous workflows?▼

Autonomous workflows enforce deterministic task orchestration with built-in validation points and retry handling. These safety mechanisms ensure reliable outcomes by tracking progress and validating steps automatically during end-to-end autopilot execution.

Does autonomous task orchestration work without manual dependencies?▼

Yes, autonomous task orchestration works without external dependencies. It coordinates agent workflows natively, using built-in progress tracking, validation hooks, and clear operator prompts to ensure safety and traceability throughout the automation pipeline.

What are the limitations of autopilot mode for backend automation?▼

Autopilot mode requires clear objectives and operator prompts to maintain safety and traceability. While it minimizes manual input, deterministic task orchestration still relies on predefined validation points and retry hooks, meaning ambiguous goals may cause execution failures.