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Geralt-byte
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my

Check and modify AI agent runtime state, usage statistics, and user preferences.

Updated May 26, 2026
Search Tags:#AI agent#performance optimization#user preference#runtime configuration#agent state management
One-click install
npx skills add https://github.com/Geralt-byte/countAgent --skill my-geralt-byte
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: my
Source: https://github.com/Geralt-byte/countAgent/tree/main/countagent/resources/skills/my
Command: npx skills add https://github.com/Geralt-byte/countAgent --skill my-geralt-byte

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables you to check and modify the runtime state of your AI agent, providing insights and controls to optimize performance and manage configurations effectively.

Core Features & Use Cases

  • State Checking: Access and verify the agent's current settings and usage statistics.
  • State Setting: Adjust parameters like context window size and iteration limits to fit your task requirements.
  • User Preferences: Store and retrieve user-specific preferences across interactions.
  • Use Case: When performing a complex task and want to ensure that the agent has adequate resources, you can use this Skill to check and adjust settings like the context window size or iteration limit.

Quick Start

Use the 'my' skill to check your current token usage with 'my(action="check", key="_last_usage")'.

Frequently Asked Questions about my

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

FAQPage Schema
How do I check the current token usage of my AI agent?▼

To check AI agent token usage, call the check action with the _last_usage key to retrieve current usage statistics and verify runtime state parameters.

Can I adjust the context window size during a complex task?▼

Yes, you can adjust the context window size during complex tasks by using the state setting action to modify runtime parameters, ensuring the agent has adequate resources allocated.

What is agent state management and when do I need runtime configuration?▼

Agent state management involves monitoring usage statistics and modifying parameters to optimize performance. You need runtime configuration when fine-tuning AI agent behavior for large-scale code analysis or complex task management.

How do I save and retrieve user preferences across AI agent interactions?▼

To save and retrieve user preferences across interactions, use the user preferences feature to store and retrieve user-specific settings, maintaining consistent configuration between sessions.

Does modifying iteration limits require external dependencies?▼

No, modifying iteration limits requires no external dependencies. You can adjust parameters like context window size and iteration limits directly using the built-in state setting action.

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