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using-superpowers

Invoke the Skill tool at conversation start to load applicable skills.

7|1|Updated Feb 1, 2026
Search Tags:#workflow#ai#skills#tools#invoke
One-click install
npx skills add https://github.com/cloudfieldcz/cf-powers --skill using-superpowers-cloudfieldcz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/cloudfieldcz/cf-powers/tree/main/skills/using-superpowers
Command: npx skills add https://github.com/cloudfieldcz/cf-powers --skill using-superpowers-cloudfieldcz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill standardizes how to begin conversations by ensuring skill invocation is required before any response, clarifying boundaries and guiding behavior.

Core Features & Use Cases

  • Enforces immediate Skill tool invocation to load applicable skills and their instructions.
  • Provides a consistent workflow for starting dialogues, including how to access and apply skills in conversations.
  • Use case: when onboarding a new assistant session, it guarantees the agent adheres to skill-driven rules from the first turn.

Quick Start

Invoke the Skill tool at the start of every conversation to load and follow the skill's instructions.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I force AI to invoke skills before responding to a user prompt?▼

To force AI skill invocation before responding, use a workflow that requires immediate tool execution at the start of every new conversation. This skill enforces that behavior by loading applicable instructions before any text is generated.

What is the best way to standardize AI onboarding for new chat sessions?▼

Standardizing AI onboarding requires applying a consistent workflow that determines applicable skills and loads their instructions from the first turn. This approach guarantees the agent adheres to skill-driven rules immediately.

How does an AI workflow load instructions from a YAML frontmatter format?▼

The AI workflow reads YAML frontmatter containing a defined name and description to identify and load applicable skills. It uses this metadata to guide behavior from analysis to execution before responding.

Can I use optional components directories to extend AI behavior in a workflow?▼

Yes, you can extend AI behavior by using optional components directories alongside the required YAML frontmatter. This allows you to load additional instructions and apply them within the defined workflow.

Why does an AI agent ignore skill instructions at the start of a new conversation?▼

An AI agent may ignore instructions if skill invocation is not strictly enforced before its initial response. Applying a mandatory workflow ensures the agent loads and follows the defined rules from the first turn.

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