using-superpowers

Invoke relevant skills before generating responses or taking actions.

1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/FacuM/yolo-agent --skill using-superpowers-facum
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/FacuM/yolo-agent/tree/main/.claude/skills/using-superpowers
Command: npx skills add https://github.com/FacuM/yolo-agent --skill using-superpowers-facum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that AI agents consistently leverage available tools and skills before attempting to answer or act, preventing premature or incomplete responses.

Core Features & Use Cases

  • Mandatory Skill Invocation: Enforces the use of the Skill tool whenever there's even a slight possibility a skill might be relevant.
  • Structured Decision Flow: Provides a clear decision tree for when and how to invoke skills.
  • Use Case: When a user asks a question that could potentially be answered by a skill (e.g., "summarize this document"), the agent must first invoke the relevant summarization skill before generating its own response.

Quick Start

Always invoke any potentially relevant skill using the Skill tool before generating any response.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I enforce AI agent tool invocation before generating a response?

To enforce AI agent tool invocation before generating a response, implement a strict protocol prioritizing skill invocation over immediate output. This ensures the agent leverages available tools whenever a skill might be relevant, preventing premature or incomplete answers.

What is a decision flow for mandatory skill invocation in AI agents?

A decision flow for mandatory skill invocation is a structured protocol requiring AI agents to evaluate and trigger relevant skills before taking action. It enforces tool utilization across all conversational turns to ensure complete and accurate responses.

Why does my AI agent respond before checking available skills?

An AI agent responds before checking available skills when it lacks a strict decision flow prioritizing tool use. Implementing a mandatory skill invocation protocol forces the agent to evaluate relevant skills before generating any output.

When should an AI agent invoke a skill during a conversation?

An AI agent should invoke a skill during a conversation whenever there is even a slight possibility a skill might assist in understanding or fulfilling a user's request. This applies to all conversational turns.

Does an AI agent protocol work without dependencies for skill invocation?

Yes, an AI agent protocol for skill invocation works without dependencies. It relies on a structured decision tree that mandates tool use whenever potentially relevant, requiring no external modules to enforce the response flow.