synapse

Inject contextual rules into AI prompts across eight processing layers.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/ExpeditoJ/My-aiox --skill synapse-expeditoj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synapse
Source: https://github.com/ExpeditoJ/My-aiox/tree/main/.claude/skills/synapse
Command: npx skills add https://github.com/ExpeditoJ/My-aiox --skill synapse-expeditoj

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

SYNAPSE provides a comprehensive system to inject and manage contextual rules within AI prompts, enabling consistent, adaptive interactions across multiple layers of processing.

Core Features & Use Cases

  • Contextual Rule Injection: Automatically injects rules and behavior modifications at 8 distinct processing layers based on session state, agent, workflow, and user commands.
  • Dynamic Layer Activation: Adapts rule delivery according to context brackets (FRESH, MODERATE, DEPLETED, CRITICAL), optimizing token usage and relevance.
  • Troubleshooting & Management: Offers commands for creating, editing, toggling, and debugging domain rules and engine status, supporting advanced customization and control.

Quick Start

Use the *synapse status command to view active domains and engine state, then create or modify domains with the provided commands.

Frequently Asked Questions about synapse

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

FAQPage Schema
How do I manage contextual rules for AI prompt orchestration across multiple agents?

AI prompt orchestration is managed by dynamically injecting layered rules into prompts based on session state, agent, and workflow. This system supports 8 distinct processing layers to control behavior and system interactions automatically.

What is dynamic layer activation and how does it optimize token usage in prompt engineering?

Dynamic layer activation adapts rule delivery according to context brackets like FRESH, MODERATE, DEPLETED, and CRITICAL. This optimizes token usage and relevance by matching injected rules to the current session state.

Can I debug and toggle domain rules for agent workflows without breaking the session context?

Domain rules for agent workflows can be debugged and toggled using built-in commands. You can create, edit, and manage domain rules while monitoring engine status to ensure consistent session context.

How do I start setting up layered rules for AI behavior modification in my workflow?

To start setting up layered rules for AI behavior modification, use the status command to view active domains and engine state, then create or modify domains with the provided commands.

When should I use layered rule injection over standard static prompts for AI agent control?

Layered rule injection should be used over static prompts when adaptive interactions across multiple processing layers are needed. It provides consistent context management and optimizes token relevance for advanced agent orchestration.