autonomous-loops

Design and operationalize autonomous Claude Code loop workflows for software development tasks.

Updated May 4, 2026
One-click install
npx skills add https://github.com/gganbukim1/myskills --skill autonomous-loops-gganbukim1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autonomous-loops
Source: https://github.com/gganbukim1/myskills/tree/main/autonomous-loops
Command: npx skills add https://github.com/gganbukim1/myskills --skill autonomous-loops-gganbukim1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the design and execution of autonomous Claude Code workflows so you can iterate on code, tests, and merges without manual step-by-step intervention.

Core Features & Use Cases

  • Loop architecture patterns: Learn and apply loop designs ranging from simple sequential pipelines to multi-agent RFC-driven DAG orchestration.
  • Context and quality control: Use persistent notes and dedicated cleanup/verification passes to reduce drift and improve correctness across iterations.
  • Parallelization with merge coordination: Generate work units in dependency order and land them via a merge-queue approach with conflict-aware recovery.

Quick Start

Ask the autonomous-loops skill to recommend the most appropriate loop pattern for your spec, then outline a concrete execution plan using one of the provided architectures.

Frequently Asked Questions about autonomous-loops

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

FAQPage Schema
How do I set up autonomous development loops for continuous code generation and merging?

Autonomous development loops are designed by selecting an architecture pattern, managing context across iterations, and coordinating quality gates to automate code generation, testing, and merging without manual intervention. You operationalize these loops using persistent notes and verification passes to reduce drift.

What is RFC decomposition in multi-agent DAG orchestration for software pipelines?

RFC decomposition is the process of breaking down project specifications into work units orchestrated across multiple agents in a directed acyclic graph. It generates work units in dependency order and lands them via a merge-queue approach with conflict-aware recovery for parallel execution.

How do autonomous agent loops handle merge conflicts and context drift during iterative CI pipelines?

Autonomous agent loops handle merge conflicts through a merge-queue approach with conflict-aware recovery mechanisms. They manage context drift across iterations by using persistent notes and dedicated cleanup passes to maintain correctness throughout the CI and PR orchestration.

Can I use agentic loops for infinite spec-driven code generation in persistent REPL sessions?

Yes, agentic loops support infinite spec-driven generation and persistent REPL-style sessions. You apply loop architecture patterns ranging from simple sequential pipelines to complex multi-agent orchestration to continuously generate and verify code against specifications.

What is the best way to orchestrate parallel PR workflows with autonomous agents?

The best way to orchestrate parallel PR workflows is generating work units in dependency order and landing them via a merge-queue approach. This pattern coordinates quality gates and handles conflict-aware recovery, enabling reliable parallel work integration without manual step-by-step intervention.

When should I use multi-agent DAG orchestration instead of a simple sequential pipeline for code generation?

Use multi-agent DAG orchestration for larger projects requiring RFC-derived work units and parallel landing via merge queues. Choose simple sequential pipelines for straightforward iterative CI and PR loops where dependency coordination and conflict recovery are unnecessary.