sweep

Orchestrate end-to-end research sweeps from goal to execution.

24|3|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/Borda/AI-Rig --skill sweep-borda
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sweep
Source: https://github.com/Borda/AI-Rig/tree/main/plugins/research/skills/sweep
Command: npx skills add https://github.com/Borda/AI-Rig --skill sweep-borda

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Non-interactive end-to-end research pipeline: auto-plan → judge gate → run. Single command from goal to result.

Core Features & Use Cases

  • Non-interactive end-to-end orchestration from goal to execution via plan, judge, and run steps.
  • Supports configurable compute options and team-assisted runs with flags like --colab and --team.
  • Includes a judge/refine loop with up to three iterations to ensure quality before running.

Quick Start

Invoke the sweep command with a quoted goal to start the end-to-end pipeline.

Frequently Asked Questions about sweep

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

FAQPage Schema
How do I automate end-to-end research sweeps from a single goal?

Automating end-to-end research sweeps requires a tool that plans, judges, and runs tasks from a single goal. This Skill orchestrates the entire pipeline non-interactively, applying a judge and refine loop before final execution.

What is a judge and refine loop in automated research execution?

A judge and refine loop in automated research execution evaluates a generated plan before running it. This Skill enforces up to three iterations of this loop to ensure plan quality and passes safety checks before final run orchestration.

How to run non-interactive research pipelines with team collaboration?

Running non-interactive research pipelines with team collaboration is supported through specific flags. You can invoke the command with the --team flag to enable team-assisted runs during the orchestration process.

Can I configure compute options for automated research sweeps?

Configuring compute options for automated research sweeps is supported within the execution phase. You can apply flags like --colab to adjust the compute environment during the final run orchestration.

What are the limitations of the judge and refine loop in research automation?

The judge and refine loop in research automation is limited to a maximum of three iterations. This constraint ensures quality control before running while preventing endless refinement cycles during the planning phase.

Does sweep work for non-interactive research orchestration?

Sweep is designed for non-interactive research orchestration, automating the plan, judge, and run steps from a single command. It requires no manual intervention once the goal is provided to the pipeline.