continuous-agent-loop

Orchestrate autonomous agent loops with quality gates, evaluation, and recovery controls.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill continuous-agent-loop-derekhu0002
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: continuous-agent-loop
Source: https://github.com/derekhu0002/ai4pb-orchestrator/tree/main/skills/continuous-agent-loop
Command: npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill continuous-agent-loop-derekhu0002

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

Core Features & Use Cases

  • Loop selection flow enables deterministic progression across Start, continuous, RFC, infinite, and sequential paths.
  • Combined Pattern defines a production stack including RFC decomposition, code-quality gates, eval harness, and session persistence.
  • Failure Modes highlight churn, repeated retries, merge queue stalls, and cost drift, with Recovery steps like freezing loops and replays.

Quick Start

Start the loop using the default sequential flow to observe continuous agent operation with quality gates.

Frequently Asked Questions about continuous-agent-loop

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

FAQPage Schema
What is a continuous agent loop with quality gates?

A continuous agent loop is an orchestration pattern for long-running autonomous agents that uses integrated quality gates, evaluation, and recovery controls to ensure deterministic progression and safe execution.

How do I automate long-running autonomous agents with recovery controls?

Automate long-running agents by orchestrating continuous loops with quality gates, evaluation harnesses, and recovery strategies like freezing loops or replays to handle failure modes such as churn and cost drift.

What is the best way to structure an RFC pipeline with continuous agent loops?

The best way to structure an RFC pipeline is using a combined pattern that includes RFC decomposition, code-quality gates, eval harnesses, and session persistence for safe, restartable execution.

How do continuous agent loops handle failure modes like repeated retries and merge queue stalls?

Continuous agent loops handle failure modes by applying recovery controls that freeze loops and execute replays, mitigating churn, repeated retries, merge queue stalls, and cost drift.

When do I need loop persistence and quality gates for autonomous agents?

You need loop persistence and quality gates when running complex automation scenarios that require deterministic progression, guardrails, and restartability across long-running autonomous agent operations.