Why is it mandatory to invoke skills even for simple questions?

Simple questions often evolve into complex tasks. Checking for skills immediately prevents the AI from skipping established best practices or using inefficient patterns.

Can I use this skill in environments other than Claude Code?

Yes, while optimized for Claude Code's Skill tool, the workflow logic can be adapted to any environment where Claude uses specialized documentation or system prompts.

What does the Superpower Orchestrator skill do?

It acts as a management layer that forces Claude to check for and use specialized skills before responding to any user request, ensuring the right tools are always used for the job.

How does this skill handle multiple applicable skills?

It follows a strict priority system: process-based skills (like debugging or brainstorming) are invoked first to determine the approach, followed by implementation-specific skills.

Superpower Orchestrator

Name: Superpower Orchestrator
Author: dazeb

bydazeb

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생산성 및 워크플로

Enforces the systematic discovery and invocation of specialized skills before any AI response to ensure disciplined workflow execution.

소개

The Superpower Orchestrator is a foundational meta-skill for Claude Code designed to eliminate trial-and-error by forcing a skill-first approach. It establishes a rigorous protocol where Claude must check for and activate relevant domain-specific skills before taking action or even asking clarifying questions. By preventing undisciplined responses and ensuring best practices are followed from the very first interaction, this skill helps users leverage the full potential of a specialized agent ecosystem to deliver more accurate, structured, and professional development outcomes.

주요 기능

Anti-rationalization guardrails to prevent workflow skipping
Standardized announcement format for tool transparency
Strategic skill prioritization logic for complex tasks
Automatic Todo list generation for skill-based checklists
Mandatory pre-response skill discovery protocol
4 GitHub stars

사용 사례

Standardizing AI behavior across complex projects by enforcing a 'skill-first' discipline.
Initializing new development tasks to ensure the correct framework-specific skills are active.
Complex debugging sessions where process-oriented skills must be invoked before code exploration.

소개

주요 기능

Anti-rationalization guardrails to prevent workflow skipping
Standardized announcement format for tool transparency
Strategic skill prioritization logic for complex tasks
Automatic Todo list generation for skill-based checklists
Mandatory pre-response skill discovery protocol
4 GitHub stars

사용 사례

Standardizing AI behavior across complex projects by enforcing a 'skill-first' discipline.
Initializing new development tasks to ensure the correct framework-specific skills are active.
Complex debugging sessions where process-oriented skills must be invoked before code exploration.