adhd

Generate non-obvious options for complex decisions via parallel agent dispatch.

4|2|Updated May 4, 2026
One-click install
npx skills add https://github.com/zpyoung/quirk --skill adhd-zpyoung
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: adhd
Source: https://github.com/zpyoung/quirk/tree/main/skills/adhd
Command: npx skills add https://github.com/zpyoung/quirk --skill adhd-zpyoung

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The ADHD skill helps users explore a wide range of options for complex decisions, ensuring that non-obvious alternatives are not overlooked.

Core Features & Use Cases

  • Divergent Ideation: Surfaces N non-obvious viable options for decision points.
  • Parallel Agent Dispatch: Uses parallel agents for divergence and deepening.
  • Scoring and Clustering: Scores ideas on novelty, viability, and impact, then clusters them into strategic directions.
  • Deepening and Rendering: Develops each cluster's approach and presents structured options with critiques.
  • Use Case: When faced with a high-stakes decision, ADHD can help identify options that might not be obvious, such as alternative architecture patterns or user experience improvements.

Quick Start

To use ADHD, simply invoke it with the command: /adhd

Frequently Asked Questions about adhd

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

FAQPage Schema
How do I generate non-obvious options for complex architectural decisions?

Divergent ideation generates non-obvious options by dispatching parallel agents to explore ideas, then scores and clusters them into strategic directions. It handles high-stakes architectural and UX decisions by surfacing alternatives that might otherwise be overlooked.

What is the best way to manage complexity when exploring multiple viable decision paths?

Complexity management during option exploration is handled by scoring ideas on novelty, viability, and impact, then clustering them. This structured divergent ideation process groups parallel agent outputs into strategic directions, making complex decisions easier to navigate.

Can I use parallel agents to improve user experience decision-making?

Parallel agents can be used for user experience decision-making by diverging and deepening ideas. The generated UX options are then scored and clustered, providing structured critiques and strategic directions for high-stakes improvements.

How does scoring and clustering work for divergent ideation?

Scoring and clustering in divergent ideation evaluates generated ideas on novelty, viability, and impact. It then groups these parallel agent outputs into distinct clusters, developing each approach to render structured options with critiques.

When do I need structured divergent ideation for software engineering decisions?

Structured divergent ideation is needed for high-stakes software engineering decisions where overlooking non-obvious options poses risks. It is useful when evaluating alternative architecture patterns or user experience improvements and requires parallel execution.