using-superpowers

Enforce mandatory skill invocation before generating any response.

146|35|Updated Mar 20, 2023
One-click install
npx skills add https://github.com/mwangli/stock-trading --skill using-superpowers-mwangli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/mwangli/stock-trading/tree/main/.trae/skills/using-superpowers
Command: npx skills add https://github.com/mwangli/stock-trading --skill using-superpowers-mwangli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill unit provides a standardized protocol to ensure that AI agents always invoke the appropriate skills before replying, enforcing tool usage, consistency, and safety in decision-making.

Core Features & Use Cases

  • Enforces mandatory skill invocation before any response, including clarifications.
  • Supports complex workflows such as subagent dispatch, priority resolution, and platform adaptation.
  • Improves reliability and safety by codifying guardrails and escalation paths for uncertain tasks.

Quick Start

Invoke the Skill tool at the start of every session to load and apply this skill before answering.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I enforce mandatory skill invocation before an AI agent responds?

To enforce skill invocation before an AI agent responds, load this orchestration protocol at the start of every session. It intercepts prompts to trigger mandatory tool loading, ensuring tools are applied correctly for safety and consistency before generating any reply.

What is AI prompt governance and how does it manage subagent dispatch?

AI prompt governance is a standardized protocol that manages subagent dispatch and tool usage. It codifies guardrails and escalation paths to ensure consistent, safe decision-making across complex interactive sessions before any response is generated.

How do I ensure consistency and safety in AI workflows with uncertain tasks?

To ensure consistency and safety in AI workflows with uncertain tasks, apply a governance protocol with codified guardrails and escalation paths. This standardizes tool invocation, priority resolution, and platform adaptation before answering.

Does this prompt safety protocol require any dependencies to run?

No, this prompt safety protocol requires no dependencies to run. It operates independently by specifying mandatory frontmatter and structured descriptions to govern skill invocation and toxicity checks.

What are the limitations of using a skill invocation protocol for workflow control?

A limitation of using a skill invocation protocol for workflow control is that it mandates tool usage before any clarification, potentially adding overhead to simple queries. It requires strict adherence to structured frontmatter specifications to function properly.