synapse

Manages layered rule domains to control prompts and enforce protocols in AI systems.

Updated Aug 27, 2026

Search Tags:#context #injection #management #rules #prompt

Ready to run

npx skills add https://github.com/pglemos/GOLFFOX --skill synapse-pglemos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: synapse
Source: https://github.com/pglemos/GOLFFOX/tree/main/.claude/skills/synapse
Command: npx skills add https://github.com/pglemos/GOLFFOX --skill synapse-pglemos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

SYNAPSE enables AI systems to inject, manage, and update contextual rules dynamically, ensuring prompts adhere to complex frameworks and protocols.

Core Features & Use Cases

Context Injection: Injects layered rules into prompts based on active domains, workflows, and user commands.
Dynamic Management: Create, modify, and toggle rule domains and star-commands effortlessly.
Use Case: Automate sophisticated prompt control in AI workflows, such as protocol enforcement or custom behavior activation during conversations.

Quick Start

Type *synapse status to verify engine activity and view current configurations.

Frequently Asked Questions about synapse

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

FAQPage Schema

How do I inject contextual rules into AI prompts dynamically?▼

Context injection works by managing layered rule domains, allowing you to inject, modify, and toggle rules dynamically. This enforces protocol compliance and context-aware processing efficiently within AI systems.

What is dynamic prompt management for AI systems?▼

Dynamic prompt management creates, modifies, and toggles rule domains and star-commands effortlessly. It automates sophisticated prompt control to activate custom behaviors and enforce protocols during AI workflows.

How do I start using context injection for prompt control?▼

Type *synapse status to verify engine activity and view current configurations. This confirms the context engine is running and displays active rule domains before you begin injecting prompts.

Can I manage multiple rule domains simultaneously in AI workflows?▼

Yes, you can manage multiple layered rule domains simultaneously. The engine facilitates protocol enforcement and context-aware processing by toggling active domains based on user commands and workflow states.

When do I need layered rule domains for AI prompt behavior?▼

Layered rule domains are needed when automating sophisticated prompt control in AI workflows. They enable protocol enforcement and custom behavior activation dynamically, ensuring prompts adapt to complex frameworks.