One-click install
npx skills add https://github.com/MrShininnnnn/SuperCtx --skill using-superctx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superctx
Source: https://github.com/MrShininnnnn/SuperCtx/tree/main/skills/using-superctx
Command: npx skills add https://github.com/MrShininnnnn/SuperCtx --skill using-superctx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents project instructions from drifting across multiple AI coding assistants by guiding agents to use a shared SuperCtx context hub as the source of truth.

Core Features & Use Cases

  • Context Hub Guidance: Helps agents understand and work with the.ctx/SUPERCTX.md canonical project context file.
  • Tool Configuration Management: Provides rules for handling generated instruction shims, context updates, health checks, and repairs across coding tools.
  • Use Case: When a repository uses multiple AI assistants with shared instructions, use this Skill to determine where context should be read, updated, or repaired safely.

Quick Start

Use the using-superctx skill to inspect and manage the shared project context for this repository.

Frequently Asked Questions about using-superctx

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

FAQPage Schema
How do I keep AI coding assistant contexts aligned across multiple tools?

To keep AI coding assistant contexts aligned, you can use a shared SuperCtx context hub as the single source of truth. This prevents instruction drift across multiple tool-specific configuration files in your repository.

What is instruction drift in repository workflows with AI coding assistants?

Instruction drift happens when project instructions diverge across multiple AI coding assistants. It occurs when tool-specific configuration files are edited independently instead of reading from a canonical shared context file.

How do I manage shared project context for multiple AI coding tools?

You manage shared project context by applying canonical context editing rules through a SuperCtx hub. Agents read and update the shared context file rather than modifying tool-specific configuration shims directly.

Can I repair and run health checks on AI agent instructions?

Yes, you can perform health checks and repair operations on AI agent instructions. The Skill guides agents through safe recovery practices to fix misaligned tool-specific configuration files.

Does setting up shared agent instructions require manual consent?

Yes, setting up shared agent instructions requires consent-based setup. Agents must follow canonical context editing rules and generated shim handling protocols to ensure safe recovery and alignment across tools.

When do I need a shared context hub for my repository workflow?

You need a shared context hub when your repository uses multiple AI assistants with shared instructions. It serves as the canonical project context file to determine where context should be safely read, updated, or repaired.