continuous-agent-loop

Coordinate autonomous agent loops with quality gates and recovery controls.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill continuous-agent-loop-sakamoto-family-smile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: continuous-agent-loop
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/continuous-agent-loop
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill continuous-agent-loop-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Patterns for creating reliable, autonomous agent loops with built-in quality gates, evaluation, and recovery controls to reduce churn and failures.

Core Features & Use Cases

  • Loop selection flow guides decision-making for control paths (continuous-pr, RFC DAG, infinite parallel, sequential)
  • Combined production pattern includes RFC decomposition, quality gates, eval harness, and session persistence
  • Explicit failure modes and recovery strategies such as freezing loops and re-running with explicit acceptance criteria

Quick Start

Start the continuous agent loop by enabling RFC decomposition, quality gates, and an eval harness to maintain an autonomous, fault-tolerant workflow.

Frequently Asked Questions about continuous-agent-loop

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

FAQPage Schema
How do I build an autonomous agent loop with fault tolerance and recovery controls?

To build an autonomous agent loop with fault tolerance, enable RFC decomposition, quality gates, and an eval harness. This combination governs continuous workflows by defining loop selection paths, enforcing quality checks, and applying explicit failure recovery strategies.

What is the best way to prevent churn in continuous agent deployments?

The best way to prevent churn in continuous agent deployments is applying strict loop governance with defined quality gates and an eval harness. These controls validate outputs, coordinate loop paths, and execute recovery strategies to reduce failures.

How do autonomous agent loops handle failure modes and recovery?

Autonomous agent loops handle failure modes and recovery by freezing problematic loops and re-running them with explicit acceptance criteria. This defined recovery strategy prevents uncontrolled failures and maintains stable continuous operations.

Does the continuous agent loop pattern support parallel and sequential execution paths?

Yes, the continuous agent loop pattern supports parallel and sequential execution paths through its loop selection flow. This guides decision-making for control paths including continuous-pr, RFC DAG, and infinite parallel configurations.

When do I need RFC decomposition in an autonomous loop workflow?

You need RFC decomposition in an autonomous loop workflow when breaking down complex development tasks into manageable components. It acts as a core production pattern alongside quality gates and eval harnesses to maintain reliable, fault-tolerant agent operations.