using-superpowers

Enforce mandatory skill invocation before coding agent actions on Databricks Apps.

38|12|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/databrickslabs/coding-agents-databricks-apps --skill using-superpowers-databrickslabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-superpowers
Source: https://github.com/databrickslabs/coding-agents-databricks-apps/tree/main/.claude/skills/using-superpowers
Command: npx skills add https://github.com/databrickslabs/coding-agents-databricks-apps --skill using-superpowers-databrickslabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of AI agents skipping relevant skill checks during task execution, which leads to inconsistent results, missed best practices, and non-compliant workflows when using coding agents on Databricks.

Core Features & Use Cases

  • Mandatory Skill Invocation Rule: Requires agents to check for and invoke relevant skills before any response or action, even for simple clarifying questions.
  • Rationalization Red Flags: Provides a table of common excuses agents use to skip skills, with counterpoints to prevent non-compliant behavior.
  • Skill Prioritization Guidelines: Defines clear rules for selecting between multiple applicable skills (process skills first, then implementation skills) and distinguishes between rigid and flexible skill types.
  • Use Case: When a user asks to debug a Databricks notebook, this Skill ensures the agent first invokes the relevant debugging skill instead of asking clarifying questions or making unvetted code changes.

Quick Start

When starting any conversation or task with a coding agent, first check if any relevant skills apply and invoke the appropriate Skill tool before providing any response or asking clarifying questions.

Frequently Asked Questions about using-superpowers

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

FAQPage Schema
How do I stop coding agents from skipping skill checks during task execution?

To stop coding agents from skipping skill checks, enforce mandatory pre-action skill invocation rules that require checking relevant skills before any response or action, eliminating inconsistent and non-compliant workflow outcomes.

Why does my Databricks coding agent miss best practices and produce inconsistent results?

Databricks coding agents produce inconsistent results when they rationalize skipping relevant skills. Applying rationalization red flags and skill priority rules prevents agents from bypassing mandatory checks during debugging or feature development.

What are common rationalization red flags agents use to bypass skill enforcement?

Common rationalization red flags include agents claiming a task is too simple for skill checks or asking clarifying questions instead of invoking relevant skills. A counterpoint table prevents these excuses and enforces task compliance.

How do I enforce mandatory skill invocation for Databricks Apps coding agents?

Enforce mandatory skill invocation for Databricks Apps coding agents by requiring them to check for and invoke relevant skills before any response or action, even for simple clarifying questions or unvetted code changes.

Can I define skill prioritization guidelines for agents handling multiple applicable skills?

Yes, you can define skill prioritization guidelines by selecting process skills first, then implementation skills, while distinguishing between rigid and flexible skill types to ensure adherence to agent operating procedures.

Does this skill enforcement approach work for Databricks notebook debugging and code refactoring?

Yes, skill enforcement works for Databricks notebook debugging and code refactoring by ensuring agents invoke the relevant debugging skill first, preventing unvetted code changes and enforcing compliant agent workflow outcomes.