using-superpowers

Define platform-agnostic Skill invocation and validation rules before user responses.

Updated May 4, 2026
One-click install
npx skills add https://github.com/fred29910/migra-go --skill using-superpowers-fred29910
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/fred29910/migra-go/tree/main/.agents/skills/using-superpowers
Command: npx skills add https://github.com/fred29910/migra-go --skill using-superpowers-fred29910

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

在开始对话时,强制在任何响应生成前调用 Skill 工具,以明确如何查找和使用可用技能,从而提高对话的准确性和可控性。

Core Features & Use Cases

  • 规定对话开始时的技能发现与加载顺序,确保首要任务是评估并应用相关技能。
  • 提供跨平台的技能调用优先级和行为约束,适用于 Claude Code、Copilot CLI、Hermes Agent、Gemini CLI 等环境。
  • 为安全与一致性设定规范,确保回答前已完成技能检查,减少误解和不一致的输出。

Quick Start

在对话开始时调用 Skill 工具以评估并加载相关技能。

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I ensure skill invocation happens before generating a response in multi-platform agent workflows?

To ensure skill invocation before response generation, you must enforce a tool check at the start of every interaction. This establishes platform-agnostic priority rules to discover and load relevant skills, ensuring safe and ordered execution across environments.

What is the correct skill discovery and loading order for CLI environments like Claude Code or Copilot CLI?

The correct skill discovery order prioritizes evaluating and applying relevant skills as the first task in a conversation. This validates skill metadata and frontmatter presence before any user response, reducing inconsistent outputs across platforms like Gemini CLI and Hermes Agent.

Can I use cross-platform interaction guidance to validate skill metadata across different agent platforms?

Yes, you can use cross-platform interaction guidance to validate skill metadata and frontmatter presence. It provides platform-agnostic behavior constraints that ensure safe, ordered execution and consistent skill checks across multi-platform environments before generating answers.

Why does my AI agent output inconsistent results when starting a conversation without checking available skills?

Agents output inconsistent results when starting without checking available skills because no priority rules govern skill discovery. Enforcing an initial skill invocation validates metadata and establishes safe execution order, directly reducing misunderstandings and uncontrolled responses.

Do I need frontmatter presence validation to maintain safety and consistency in agent interactions?

Yes, you need frontmatter presence validation to maintain safety and consistency in agent interactions. It ensures that a skill check is completed before any response generation, providing the necessary rules and priority constraints for accurate, controlled execution.