Does this skill allow for clarifying questions before tool use?

No, the protocol requires skill invocation before any response, including clarifications, to ensure the AI has the full context provided by the relevant skill documentation first.

Why is this skill necessary for Claude Code?

It prevents 'undisciplined action' where an AI might skip established best practices in favor of perceived speed, ensuring higher quality and more maintainable code output.

How does the skill handle multiple applicable skills?

It follows a strict hierarchy: process skills (like brainstorming or debugging) are invoked first to determine the 'how,' followed by implementation skills (like frontend-design) to guide execution.

What is the '1% rule' in the Superpowers skill?

The 1% rule mandates that if there is even a slight possibility that a skill applies to the current task, the AI must invoke it immediately before responding.

Superpowers: Skill Protocol Orchestrator

Name: Superpowers: Skill Protocol Orchestrator
Author: EricOo0

byEricOo0

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生产力与工作流

Enforces a disciplined workflow by requiring the invocation of relevant skills before any AI response or action.

关于

This skill serves as a foundational governance layer for Claude Code, establishing a 'skill-first' protocol that eliminates guesswork and undisciplined development. It mandates that the AI search for and invoke relevant domain-specific skills before attempting any task, even when asking clarifying questions. By providing a structured decision tree and a list of 'red flag' rationalizations to avoid, it ensures that best practices, project standards, and implementation patterns are applied consistently, preventing technical debt and wasted effort.

主要功能

Automated TodoWrite checklist generation from skill content
Detection and prevention of common productivity-killing rationalizations
Hierarchical skill prioritization (Process vs. Implementation)
Structured workflow execution via Skill Flow diagrams
Mandatory skill invocation protocol (the 1% rule)
6 GitHub stars

使用场景

Standardizing AI behavior across complex software engineering projects
Ensuring project-specific patterns are followed before any code is written
Onboarding new developers to a repository's specific automation workflows

关于

主要功能

Automated TodoWrite checklist generation from skill content
Detection and prevention of common productivity-killing rationalizations
Hierarchical skill prioritization (Process vs. Implementation)
Structured workflow execution via Skill Flow diagrams
Mandatory skill invocation protocol (the 1% rule)
6 GitHub stars

使用场景

Standardizing AI behavior across complex software engineering projects
Ensuring project-specific patterns are followed before any code is written
Onboarding new developers to a repository's specific automation workflows