What is the primary purpose of the Using Superpowers skill?

It acts as a gatekeeper that ensures Claude always checks for and uses relevant specialized skills before taking any action or answering questions.

How does this handle multiple applicable skills?

It follows a specific priority order: process-oriented skills like brainstorming and debugging are invoked first, followed by domain-specific implementation skills.

When should this skill be invoked?

It should be invoked at the start of every conversation or whenever a new task is initiated to set the standard for the upcoming workflow.

What is the 1% rule in this skill?

The 1% rule states that if there is even a 1% chance a specialized skill might be relevant, Claude must invoke it to check rather than assuming it is unnecessary.

Using Superpowers (Skill Orchestrator)

Name: Using Superpowers (Skill Orchestrator)
Author: Tako3832

byTako3832

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생산성 및 워크플로

Standardizes the invocation of specialized Claude Code skills to ensure domain-specific best practices are applied to every task.

The Using Superpowers skill serves as a fundamental workflow orchestrator for Claude Code, mandating a disciplined approach to task execution. It requires the AI to proactively search for and invoke relevant specialized skills before providing any response, including clarifying questions. By enforcing a strict 'check-first' mentality, it ensures that domain-specific patterns, Test-Driven Development (TDD) principles, and architectural guidelines are never overlooked, preventing the AI from taking undisciplined shortcuts during complex development cycles.

주요 기능

01Integrated workflow for transitioning from brainstorming to checklist-driven execution

020 GitHub stars

03Mandatory Skill Tool invocation for every new conversation or task context

04Hierarchical prioritization logic between process-oriented and implementation skills

05Red-flag detection system to counter AI overconfidence and rationalization

06Strict 1% Relevance Rule to prevent the omission of specialized tools

사용 사례

01Improving output quality by forcing the AI to load current skill versions rather than relying on internal memory

02Standardizing a team's development workflow by ensuring all AI interactions follow project-specific skills

03Ensuring debugging and brainstorming skills are applied before any code changes are implemented

주요 기능

01Integrated workflow for transitioning from brainstorming to checklist-driven execution

020 GitHub stars

03Mandatory Skill Tool invocation for every new conversation or task context

04Hierarchical prioritization logic between process-oriented and implementation skills

05Red-flag detection system to counter AI overconfidence and rationalization

06Strict 1% Relevance Rule to prevent the omission of specialized tools

사용 사례

01Improving output quality by forcing the AI to load current skill versions rather than relying on internal memory

02Standardizing a team's development workflow by ensuring all AI interactions follow project-specific skills

03Ensuring debugging and brainstorming skills are applied before any code changes are implemented