What is a Sequential Pipeline loop?

It is the simplest autonomous pattern where development tasks are broken into a sequence of non-interactive agent calls, each building on the filesystem state left by the previous step.

Can these loops run parallel agents simultaneously?

Yes, patterns like the Infinite Agentic Loop and RFC-Driven DAG allow an orchestrator to deploy multiple sub-agents in parallel with unique assignments to prevent conflict.

How does the Continuous PR Loop handle CI failures?

The system automatically monitors GitHub Action logs, spawns a focused agent pass to interpret the errors, and pushes corrective commits until the CI checks pass.

How is context maintained across multiple agent iterations?

This skill utilizes shared task notes and persistence files (like SHARED_TASK_NOTES.md) to bridge the context gap between independent agent invocations.

What is the benefit of the De-Sloppify pattern?

It uses a separate context pass to remove redundant tests and overly defensive code that LLMs often over-generate when trying to be thorough during the implementation phase.

Autonomous Loops

Name: Autonomous Loops
Author: flatrick

byflatrick

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생산성 및 워크플로

Orchestrates sophisticated autonomous execution patterns for MDT-compatible agents to automate multi-stage development cycles.

The Autonomous Loops skill provides a comprehensive framework for running Claude and other coding agents in self-correcting, multi-iteration cycles. It ranges from simple sequential command-line pipelines for routine daily tasks to complex multi-agent DAG architectures for large-scale feature implementation. By utilizing specialized patterns like the Continuous PR Loop and the De-Sloppify cleanup pass, developers can orchestrate agents that not only write code but also handle testing, CI/CD integration, and quality assurance without manual intervention.

주요 기능

01RFC-driven DAG orchestration for complex, multi-unit parallel feature development

02Dedicated 'De-Sloppify' cleanup pass to remove redundant code and excessive tests

03Two-prompt infinite agentic loops for parallel specification-driven generation

04Standardized sequential pipeline patterns for daily developer tasks

05Continuous PR Loop integration with GitHub for autonomous CI/CD monitoring and fixes

060 GitHub stars

사용 사례

01Executing multi-day iterative development projects with persistent cross-iteration state

02Generating massive component libraries or documentation using parallel sub-agents

03Building self-healing CI/CD pipelines that automatically fix linting and test failures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add flatrick/mdt autonomous-loops

For use in Claude.ai and ChatGPT