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autonomous-loops

Orchestrate iterative code changes and continuous PR workflows with autonomous development loops.

Updated Mar 24, 2026
Search Tags:#multi-agent#orchestration#ci-cd#claude-code#continuous-delivery#autonomous-loops#merge-queue
One-click install
npx skills add https://github.com/Oruga420/claude-code-skills --skill autonomous-loops-oruga420
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autonomous-loops
Source: https://github.com/Oruga420/claude-code-skills/tree/main/autonomous-loops
Command: npx skills add https://github.com/Oruga420/claude-code-skills --skill autonomous-loops-oruga420

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomous loops addresses the complexity of running LLM-driven development workflows reliably and at scale by providing patterns and guardrails for iterative code generation, verification, and landing. It reduces manual coordination, prevents context bleed between stages, and automates recovery from CI failures and merge conflicts so teams can safely run agents over multiple iterations.

Core Features & Use Cases

  • Sequential Pipeline: Chain isolated non-interactive steps for scripted CI-style automation and reproducible runs.
  • NanoClaw REPL: Persistent session mode for interactive, stateful development using conversation-backed context.
  • Infinite Agentic Loop: Parallelized, spec-driven generation with orchestrator-assigned uniqueness to avoid duplicate outputs.
  • Continuous Claude PR Loop: End-to-end iterative PR creation, CI monitoring, auto-fix passes, and configurable stop conditions.
  • Ralphinho / RFC-Driven DAG: Decompose RFCs into dependency DAGs, run tiered quality pipelines per work unit, and manage a merge queue with eviction and recovery.
  • De-Sloppify Pattern: Dedicated cleanup pass to remove overly defensive tests and noise after implementation passes.

Quick Start

Use the autonomous-loops skill to set up a continuous Claude PR loop that creates iterative branches, runs tests, and auto-merges passing changes.

Frequently Asked Questions about autonomous-loops

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

FAQPage Schema
How do I automate CI failure recovery for continuous PR workflows?▼

Automating CI failure recovery involves orchestrating a continuous PR loop that monitors CI checks, triggers auto-fix passes on failures, and applies configurable stopping conditions before landing code.

What is RFC-driven DAG orchestration for multi-unit projects?▼

RFC-driven DAG orchestration decomposes RFCs into dependency graphs, executes tiered quality pipelines per work unit, and manages a merge queue with eviction and recovery for multi-unit projects.

How do I prevent context bleed between isolated stages in multi-agent orchestration?▼

Preventing context bleed in multi-agent orchestration requires chaining isolated non-interactive pipeline steps and using cross-iteration shared state via files to maintain separation.

Can I run parallelized spec-driven code generation without duplicate outputs?▼

You can run parallelized spec-driven code generation using an infinite agentic loop where the orchestrator assigns uniqueness constraints to agents to avoid duplicate outputs.

Does autonomous-loops require specific dependencies to manage merge queues?▼

Autonomous-loops requires no external dependencies to manage merge queues, providing built-in eviction handling and recovery patterns for iterative code landing natively.

When should I use a cleanup pass to remove defensive tests after implementation?▼

Apply a de-sloppify cleanup pass after implementation passes to remove overly defensive tests and noise, ensuring the final codebase remains clean and maintainable.

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