using-superpowers

Enforce pre-response skill invocation before replying to any conversation turn.

6|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/caitengwei/my-skills --skill using-superpowers-caitengwei
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/caitengwei/my-skills/tree/main/superpowers/skills/using-superpowers
Command: npx skills add https://github.com/caitengwei/my-skills --skill using-superpowers-caitengwei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It prevents you from replying too quickly by enforcing an explicit “skill check” before any response, including clarifying questions.

Core Features & Use Cases

  • Mandatory pre-response skill invocation: Treats any 1% chance of relevance as a reason to invoke the Skill tool first.
  • Platform-agnostic guidance: Explains how to invoke skills across Claude Code, Copilot CLI, and Gemini CLI.
  • Instruction ordering & overrides: Defines a clear priority model between user instructions, Superpowers skills, and default system prompts.
  • Structured workflow guardrails: Provides red-flag rationalization patterns to stop and re-check skill applicability.

Quick Start

Invoke the Skill tool to run using-superpowers before writing any answer or asking any clarifying question.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I stop my AI assistant from replying too quickly before checking available skills?

To stop premature replies, enforce a mandatory pre-response skill invocation workflow that checks for skill relevance before generating any answer. This workflow requires the assistant to invoke the Skill tool first, ensuring structured guidance applies to planning, brainstorming, or debugging tasks.

What are workflow guardrails for prompt governance and how do they work?

Workflow guardrails for prompt governance are structured rules that define instruction priority between user inputs, skills, and system prompts. They provide red-flag rationalization patterns to stop and re-check skill applicability, preventing the assistant from bypassing mandatory pre-response checks.

Does this mandatory skill invocation approach work across different CLI platforms?

Yes, this mandatory skill invocation approach provides platform-agnostic guidance. It explains how to invoke skills across Claude Code, Copilot CLI, and Gemini CLI using platform-specific tool mapping while maintaining consistent instruction priority and workflow guardrails.

When do I need to enforce a pre-response skill check in my conversation?

You need to enforce a pre-response skill check on any conversation turn where there is even a 1% chance a skill should guide the interaction. This applies to planning, brainstorming, debugging, or implementation approach tasks to prevent rationalization and ensure proper assistant orchestration.

How do I map tool invocations correctly across different assistant platforms?

To map tool invocations correctly, follow the platform-specific tool mapping defined in the workflow guardrails. This ensures the Skill tool is invoked before any response or action across Claude Code, Copilot CLI, and Gemini CLI according to established priority rules and instruction overrides.