using-superpowers

Guide AI agents to invoke relevant skills before responding.

8|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/hxk622/TokenDance --skill using-superpowers-hxk622
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/superpowers/using-superpowers
Command: npx skills add https://github.com/hxk622/TokenDance --skill using-superpowers-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a critical framework for understanding and correctly invoking other AI skills, ensuring that the AI agent utilizes its capabilities effectively and adheres to task requirements.

Core Features & Use Cases

  • Mandatory Skill Invocation: Enforces the use of relevant skills before responding, even with a low probability of applicability.
  • Skill Discovery Guidance: Explains how to access and use skills within different environments.
  • Red Flag Identification: Helps users avoid common rationalizations that lead to skipping skill usage.
  • Use Case: When presented with a user request that could potentially be handled by a specialized skill (e.g., code generation, data analysis), this skill ensures the AI agent first attempts to invoke the most appropriate skill before proceeding with a direct response.

Quick Start

Always invoke a relevant skill before generating a response or taking any action.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I ensure my AI agent invokes specialized skills before generating a direct response?

To ensure mandatory skill invocation, you must establish a strict protocol that enforces checking task relevance and prioritizing available skills before responding, overriding common rationalizations to skip them.

Why does my AI agent skip skill usage during automated workflows?

AI agents skip skill usage due to common rationalizations or red flags, failing to recognize task applicability and bypassing the mandatory invocation protocol required for proper skill discovery and selection.

What is the best way to manage skill discovery and selection for AI tasks?

The best way to manage skill discovery is to implement a guidance framework that defines skill priority and type, ensuring the AI agent selects the most appropriate specialized skill based on task relevance.

When do I need to enforce a skill invocation protocol in my AI workflow?

You need to enforce a skill invocation protocol whenever a user request could potentially be handled by a specialized skill, ensuring the AI agent attempts to invoke it even with a low probability of applicability.

Does this skill invocation guidance work without any dependencies?

Yes, this skill invocation guidance operates without external dependencies, providing a standalone framework to enforce mandatory skill discovery, usage, and selection based on task relevance and type.