design-agent-perception-layers

Separate fast API queries from slow UI vision tools in agent perception design.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/EnigmaWU/MyCodeAgentSkills --skill design-agent-perception-layers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-agent-perception-layers
Source: https://github.com/EnigmaWU/MyCodeAgentSkills/tree/main/design-agent-perception-layers
Command: npx skills add https://github.com/EnigmaWU/MyCodeAgentSkills --skill design-agent-perception-layers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps in designing the context-gathering tools for autonomous agents, optimizing perception by separating fast (API queries) from slow (UI vision tools) methods.

Core Features & Use Cases

  • Fast vs. Slow Perception: Separates "Fast Thinking" (API queries) from "Slow Thinking" (UI vision tools) to enhance performance.
  • Use Case: When designing an agent that interacts with UIs, this Skill ensures the agent uses the fastest method for perception, optimizing token usage and execution speed.

Quick Start

To use this skill, trigger it to execute the defined workflow. Refer to SKILL.md for specific triggers and inputs.

Frequently Asked Questions about design-agent-perception-layers

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

FAQPage Schema
How do I optimize autonomous agent perception for faster execution?

Optimize autonomous agent perception by separating fast API queries from slow UI vision tools. This structured design ensures the agent uses the fastest method available for context-gathering, reducing token usage and execution speed.

What is fast and slow thinking separation in agent design?

Fast and slow thinking separation in agent design divides perception methods into fast API queries and slow UI vision tools. This approach enhances performance by applying structured design to context-gathering tools.

How do I reduce token usage when an agent interacts with UIs?

Reduce token usage during UI interactions by separating fast API queries from slow UI vision tools. This ensures the agent uses the fastest perception method available, optimizing overall token consumption.

When should I use API queries vs UI vision tools for agent perception?

Use API queries for fast perception and UI vision tools for slow perception when designing autonomous agents. Separating these methods optimizes execution speed and token usage based on the context-gathering requirement.

Does optimizing agent perception require understanding agent architecture?

Optimizing agent perception requires a solid understanding of agent architecture and structured design. This knowledge is necessary to effectively blend fast API interactions with slow UI vision tools.