using-superpowers

Enforce mandatory skill invocation before generating AI responses.

Updated Nov 4, 2025
One-click install
npx skills add https://github.com/involvex/Involvex-Cli --skill using-superpowers-involvex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/involvex/Involvex-Cli/tree/main/.claude/skills/using-superpowers
Command: npx skills add https://github.com/involvex/Involvex-Cli --skill using-superpowers-involvex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that AI models consistently leverage available tools and skills before responding, preventing errors and improving task completion accuracy.

Core Features & Use Cases

  • Mandatory Skill Invocation: Enforces checking for applicable skills before any AI response, including clarifying questions.
  • Prioritization Logic: Defines a clear order for skill execution when multiple apply (Process skills first, then Implementation skills).
  • Use Case: When a user asks a question that could be answered by a specific skill (e.g., "How do I debug this code?"), this skill ensures the AI first invokes the relevant debugging skill before attempting to answer directly.

Quick Start

Always check for applicable skills 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 ensure an AI agent invokes available skills before generating a response?

To ensure AI agent skill invocation before responses, you need a workflow enforcement mechanism that mandates checking applicable tools prior to generating any conversational output or clarifying questions.

What is the priority order for executing multiple AI skills simultaneously?

For AI skill priority execution, the defined order requires processing Process skills first, then Implementation skills, ensuring consistent and effective AI behavior when multiple tools apply to a single request.

How do I stop an LLM from answering directly instead of using a specialized tool?

To stop an LLM from answering directly, enforce mandatory skill invocation to check for specialized tools first, preventing errors and improving task completion accuracy for information retrieval.

Can I use rigid and flexible skill types within the same AI workflow?

Yes, you can use rigid and flexible skill types within the same AI workflow. The system requires adherence to a defined skill type to maintain consistent and effective agent behavior.

What are the limitations of enforcing mandatory skill checks on every AI prompt?

The main limitation of enforcing mandatory skill checks is that it applies to all conversational interactions requiring task execution, adding a strict processing layer before generating any AI response.