synapse

Inject contextual rules into AI prompts via an 8-layer processing pipeline.

3.1k|939|Updated Dec 9, 2025
One-click install
npx skills add https://github.com/SynkraAI/aios-core --skill synapse-synkraai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synapse
Source: https://github.com/SynkraAI/aios-core/tree/main/.claude/skills/synapse
Command: npx skills add https://github.com/SynkraAI/aios-core --skill synapse-synkraai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill manages and injects contextual rules into AI prompts, ensuring the AI has the most relevant information for its task without overwhelming its context window.

Core Features & Use Cases

  • Dynamic Context Injection: Adapts the amount of context provided based on the AI's current conversation state and remaining token capacity.
  • Rule Management: Allows users to create, edit, and manage custom rules (domains) that guide the AI's behavior and knowledge.
  • Use Case: When developing complex software, this Skill ensures the AI remembers project-specific coding standards, active development tasks, and user requirements, leading to more accurate and contextually aware code generation.

Quick Start

Check the current status of the SYNAPSE context engine.

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 without exceeding the context window?

Dynamic context injection adapts provided rules based on current conversation state and remaining token capacity. An 8-layer processing pipeline with bracket-aware filtering ensures the AI receives relevant information without overwhelming its context window.

What is dynamic context injection and how does it manage AI context window usage?

Dynamic context injection manages AI context window usage by filtering and adapting the amount of contextual rules provided based on remaining token capacity. It uses bracket-aware filtering within an 8-layer processing pipeline.

How do I manage domain-specific knowledge and coding standards for AI code generation?

Domain management allows creating, editing, and managing custom rules that guide AI behavior. This ensures the AI remembers project-specific coding standards, active development tasks, and user requirements for accurate code generation.

Can I configure custom rules to guide AI behavior in an AIOS environment?

Yes, rule configuration supports creating custom domains to guide AI behavior in an AIOS environment. Users can manage contextual rules and troubleshoot rule injection to enhance AI responsiveness and accuracy.

Why does my AI lose project-specific requirements during complex software development?

AI loses project-specific requirements without context injection. Managing contextual rules ensures the AI remembers active development tasks and user requirements, leading to contextually aware and accurate code generation.

What is the best way to troubleshoot rule injection for AI responsiveness?

Troubleshooting rule injection involves checking the 8-layer processing pipeline and bracket-aware filtering. Verifying domain configurations and context window usage ensures enhanced AI responsiveness and accurate rule application.