autonomous-loops

Automate Claude Code loop design from sequential pipelines to RFC-driven DAG systems.

2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/MomoDaviluke/star-citizen-promotion --skill autonomous-loops-momodaviluke
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autonomous-loops
Source: https://github.com/MomoDaviluke/star-citizen-promotion/tree/main/.agents/skills/ecc/autonomous-loops
Command: npx skills add https://github.com/MomoDaviluke/star-citizen-promotion --skill autonomous-loops-momodaviluke

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Patterns and architectures support designing and implementing autonomous Claude Code loops, from simple sequential pipelines to RFC-driven multi-agent DAGs, enabling scalable automation without constant human input.

Core Features & Use Cases

  • RFC-driven DAG orchestration for complex projects
  • Separate context windows per stage to reduce context bleed
  • Built-in merge queue with eviction and context-preserving recovery
  • Pattern catalog: Sequential Pipeline, NanoClaw REPL, Infinite Agentic Loop, Continuous Claude PR Loop, De-Sloppify, Ralphinho
  • Cross-pattern composition and resumable workflows

Quick Start

Provide a RFC specification or sample spec and start the first research phase to decompose it into work units.

Frequently Asked Questions about autonomous-loops

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

FAQPage Schema
How do I orchestrate autonomous Claude Code loops for multi-agent pipelines?

To orchestrate autonomous Claude Code loops, you provide an RFC specification to decompose work units into structured patterns like Sequential Pipelines or Infinite Agentic Loops. This enables multi-agent coordination with per-stage context isolation across iterative workflows.

What are the available patterns for designing autonomous agent workflows?

Autonomous agent workflow patterns include Sequential Pipeline, NanoClaw REPL, Infinite Agentic Loop, Continuous Claude PR Loop, De-Sloppify, and Ralphinho. These patterns enable cross-pattern composition and resumable workflows for scalable automation.

How do I prevent context bleed in multi-agent Claude Code orchestration?

To prevent context bleed in multi-agent orchestration, the system enforces separate context windows per stage and uses a merge-and-evict workflow. This ensures robust context management and context-preserving recovery across iterative loops.

How do I start an RFC-driven DAG orchestration in Claude Code?

To start RFC-driven DAG orchestration, you provide an RFC specification or sample spec and trigger the first research phase. The system decomposes the RFC into work units and handles explicit dependency DAG execution automatically.

Can I compose multiple loop patterns together for complex automation?

Yes, you can compose multiple loop patterns together for complex automation. The system supports cross-pattern composition and resumable workflows, allowing you to scale from simple sequential pipelines to RFC-driven multi-agent DAGs.

What is the merge queue eviction workflow for autonomous loops?

The merge queue eviction workflow is a context-preserving recovery mechanism for autonomous loops. It enforces per-stage isolation and evicts completed context to maintain robust context management across iterative loop executions.