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zoom-out

Summarize system boundaries and separate local from structural complexity.

779|80|Updated Jun 20, 2025
Search Tags:#architecture#decision making#system design#maintenance#dependency analysis#scope definition#tradeoffs
One-click install
npx skills add https://github.com/Haohao-end/openagent --skill zoom-out-haohao-end
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: zoom-out
Source: https://github.com/Haohao-end/openagent/tree/main/api/internal/core/skills/catalog/zoom-out
Command: npx skills add https://github.com/Haohao-end/openagent --skill zoom-out-haohao-end

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you step back from local details to understand system-level boundaries, tradeoffs, and long-term maintenance costs.

Core Features & Use Cases

  • System boundary summarization: Clarifies what’s inside versus outside the scope of the current problem.
  • Local vs structural complexity mapping: Distinguishes incidental complexity from structural constraints that will keep returning.
  • Higher-level option evaluation: Recommends strategic choices and highlights costs of different directions rather than patching symptoms.

Example use case: You’re iterating on a feature and it keeps breaking in adjacent modules; the skill helps you reframe the situation around architecture-level dependencies and sustainable design options.

Quick Start

Ask the AI to zoom out and analyze the current plan by summarizing the system boundary, separating local complexity from structural complexity, and proposing higher-level options with their tradeoffs.

Frequently Asked Questions about zoom-out

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

FAQPage Schema
What is the best way to analyze architectural decisions and prevent overfitting on local implementation details?▼

To analyze architectural decisions, you must separate local implementation issues from structural system constraints. This process clarifies system boundaries, identifies structural complexity, and recommends system-level options with clear tradeoffs and maintenance implications.

Why does my feature keep breaking in adjacent modules during iteration?▼

Features break in adjacent modules when structural complexity is mistaken for local implementation issues. By zooming out to evaluate architectural dependencies, you can reframe the problem around system-level boundaries and apply sustainable design options instead of patching symptoms.

How do I separate local complexity from structural complexity when debugging stalled solutions?▼

Separating local complexity from structural complexity involves summarizing system boundaries to distinguish incidental complexity from structural constraints. This identifies which issues will keep returning, allowing you to evaluate higher-level architectural options with clear tradeoffs.

How do I evaluate system-level options and tradeoffs for redesigning workflows or modules?▼

Evaluating system-level options for redesigning workflows requires mapping structural constraints and identifying maintenance implications. This provides strategic choices with clear tradeoffs and highlights the costs of different directions rather than applying local patches.

Can I use this approach to evaluate dependencies and scope definition for my current plan?▼

Yes, evaluating dependencies and scope definition is a core application of this approach. It summarizes what is inside versus outside the problem scope, identifies structural complexity, and recommends strategic choices with clear maintenance implications for your system design.

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