paseo-loop

Automate iterative worker-verifier cycles with the Paseo daemon.

12.9k|1.3k|Updated Oct 13, 2025
One-click install
npx skills add https://github.com/getpaseo/paseo --skill paseo-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paseo-loop
Source: https://github.com/getpaseo/paseo/tree/main/skills/paseo-loop
Command: npx skills add https://github.com/getpaseo/paseo --skill paseo-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the execution of repeated worker-verifier cycles, enabling autonomous tasks to progress without user intervention until explicit stop conditions are met.

Core Features & Use Cases

  • Orchestrates iterative loops: launch a worker, perform verification, sleep between iterations, and stop when max iterations or max runtime are reached.
  • Supports multi-provider configurations: tailor worker and verifier providers/models independently for robust automation.
  • Archive-friendly: optionally preserve iteration history for debugging or auditing.

Quick Start

Start a loop by issuing a paseo loop run with your worker and verifier prompts, and let it iterate automatically until the stop conditions are satisfied.

Frequently Asked Questions about paseo-loop

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

FAQPage Schema
How do I automate iterative agent loops until a task is complete?▼

You can automate iterative agent loops by running a worker-verifier cycle that repeatedly executes tasks, verifies results, and stops when max iterations or runtime are reached. This enables autonomous progression without manual intervention.

What is a worker-verifier cycle for autonomous task orchestration?▼

A worker-verifier cycle is an iterative process where a worker executes a task and a verifier checks the output against requirements. This loop repeats automatically until explicit stop conditions are met.

Can I configure different providers for the worker and verifier in an automated loop?▼

Yes, you can configure worker and verifier providers independently. This multi-provider support allows you to tailor models for robust automation and specific task requirements.

How do I set stop conditions for autonomous task iterations?▼

You can define stop conditions using max-iterations and max-time parameters. The loop automatically terminates when either the maximum number of iterations or the maximum allowed runtime is reached.

Does the automated loop support sleep intervals between iterations?▼

Yes, the loop supports optional sleep intervals between worker-verifier iterations. This allows you to control the execution pace and manage resource usage during automated task processing.

How can I preserve iteration history from automated agent loops for debugging?▼

You can optionally archive iteration history to preserve records of each worker-verifier cycle. This archive-friendly feature supports debugging and auditing of autonomous task execution.