using-superpowers

Name: using-superpowers
Availability: InStock
Author: bingo2gether

Enforce relevant skill invocation before generating any AI response.

Updated Aug 23, 2026

Search Tags:#workflow #ai #llm #skills #agent #tool use

Ready to run

npx skills add https://github.com/bingo2gether/BingotwoGether --skill using-superpowers-bingo2gether

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/bingo2gether/BingotwoGether/tree/main/.agent/skills/using-superpowers
Command: npx skills add https://github.com/bingo2gether/BingotwoGether --skill using-superpowers-bingo2gether

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that AI agents consistently leverage available tools and skills before generating any response, preventing unassisted actions and promoting a structured, tool-augmented workflow.

Core Features & Use Cases

Mandatory Skill Invocation: Enforces the use of the Skill tool for any task where a skill might apply, even with a low probability.
Workflow Enforcement: Prevents the AI from rationalizing its way out of using skills by providing a clear list of "red flag" thoughts to avoid.
Use Case: When a user asks a question that could potentially be answered by a skill, this Skill guides the AI to first invoke the relevant skill to gather information or perform an action, rather than answering directly or asking clarifying questions prematurely.

Quick Start

Use the using-superpowers skill to ensure all relevant skills are invoked before responding to the user.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema

How do I enforce tool use in an AI agent workflow before it generates a response?▼

To enforce tool use in an AI agent workflow, you need a protocol that mandates skill invocation before any response is generated. This prevents unassisted actions by requiring the agent to check for applicable skills first, ensuring a structured, tool-augmented workflow.

Why does my LLM agent bypass available tools and answer questions directly?▼

An LLM agent bypasses tools and answers directly due to rationalization tactics where it assumes a skill does not apply. You can prevent this by applying a strict interpretation of the "1% chance" rule, forcing the agent to invoke relevant skills even with low probability of applicability.

What is the "1% chance" rule for AI agent skill invocation?▼

The "1% chance" rule for AI agent skill invocation is a strict protocol requiring the agent to trigger a relevant skill if there is even a 1% chance it applies to the user's task. It prevents the agent from rationalizing its way out of using available tools.

How to stop an AI agent from asking clarifying questions before using a skill?▼

To stop an AI agent from asking clarifying questions before using a skill, enforce a mandatory skill invocation process. The agent must first invoke the relevant skill to gather information or perform an action rather than answering directly or asking for clarification prematurely.

Can I apply mandatory skill invocation across all conversational turns in an LLM workflow?▼

Yes, you can apply mandatory skill invocation across all conversational turns in an LLM workflow. The enforcement applies to every task execution where a skill might be applicable, ensuring consistent adherence to tool-use protocols throughout the entire interaction.

What are the limitations of enforcing mandatory skill invocation in AI workflows?▼

The limitation of enforcing mandatory skill invocation is the strict interpretation required to avoid rationalization. The AI must resist "red flag" thoughts that justify skipping tools, which requires continuous enforcement across all conversational turns to maintain the structured workflow without exception.