Orbit

Generate, audit, and recover nexus-autoloop execution loops with evidence-backed assessments.

68|14|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/simota/agent-skills --skill orbit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Orbit
Source: https://github.com/simota/agent-skills/tree/main/orbit
Command: npx skills add https://github.com/simota/agent-skills --skill orbit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation, execution, auditing, and recovery of autonomous loops, ensuring tasks run reliably to completion with auditable evidence.

Core Features & Use Cases

  • Loop Script Generation: Creates ready-to-run script sets for nexus-autoloop from a given goal.
  • Operation Contract Design: Builds measurable loop contracts with acceptance criteria and resumable state.
  • Loop Auditing & Recovery: Classifies live loop status, verifies evidence, and recovers from state drift or failures.
  • Use Case: You need to automate a complex, multi-step process that might fail. Orbit can generate the scripts, define success conditions, run the process, and automatically attempt recovery if it encounters issues, providing a full audit trail.

Quick Start

Use the Orbit skill to generate a new nexus-autoloop script set for the goal 'Implement user authentication'.

Frequently Asked Questions about Orbit

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

FAQPage Schema
How do I generate autonomous loop scripts for the nexus-autoloop framework?

To generate autonomous loop scripts for the nexus-autoloop framework, provide a specific goal and the system creates ready-to-run script sets. These scripts include measurable operation contracts with acceptance criteria and resumable state management.

What is autonomous loop auditing and how does state recovery work?

Autonomous loop auditing classifies live loop status and verifies evidence by assessing state integrity. State recovery works by identifying state drift or failures during execution and automatically attempting evidence-backed recovery to ensure reliable task completion.

Can I use this to automate complex multi-step processes that might fail?

Yes, you can automate complex multi-step processes that might fail. The system generates execution scripts, defines measurable success conditions, runs the process, and automatically attempts evidence-backed recovery if it encounters failures or state drift.

How do I design operation contracts with acceptance criteria for automated tasks?

To design operation contracts with acceptance criteria for automated tasks, define your goal and let the system build measurable loop contracts. These contracts establish resumable state integrity and specific success conditions for reliable long-running automation.

What are the limitations of autonomous loop recovery for long-running tasks?

Autonomous loop recovery for long-running tasks relies on evidence-backed assessments and state integrity verification. While it automatically attempts recovery from state drift and failures, complex automated processes require properly defined operation contracts to ensure reliable recovery outcomes.