nanodevice_flakedetect_review

Coordinate visual QA for nanodevice flake polygons in KLayout.

32|6|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/caidish/KlayoutClaw --skill nanodevice-flakedetect-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nanodevice_flakedetect_review
Source: https://github.com/caidish/KlayoutClaw/tree/main/skills/nanodevice_flakedetect_review
Command: npx skills add https://github.com/caidish/KlayoutClaw --skill nanodevice-flakedetect-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validating that nanodevice flake polygons committed in KLayout accurately reflect the ground-truth microscope image and designated layer boundaries, preventing propagation of design errors.

Core Features & Use Cases

  • Structured review workflow: guides step-by-step visual assessment of polygon boundaries, containment, and alignment using overlay references.
  • Quantitative evidence: correlates overlay results with alignment and combine reports to support pass/fail decisions.
  • Use Case: after a commit, run the review to decide whether to pass, retry, or reject the layout change based on the visual QA results.

Quick Start

After committing polygons and loading the microscope image, run the review workflow to generate overlays and assessment reports.

Frequently Asked Questions about nanodevice_flakedetect_review

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

FAQPage Schema
How do I validate nanodevice flake polygons against a microscope image in KLayout?

You can validate nanodevice flake polygons in KLayout by running a visual QA review workflow that renders polygon overlays on background microscope imagery and correlates alignment reports to produce pass, fail, or retry decisions.

What is visual QA for nanodevice flake validation?

Nanodevice flake visual QA is a structured review process that verifies committed KLayout polygons match ground-truth microscope imagery and layer boundaries, using overlay references and combine reports to prevent design error propagation.

Do I need alignment reports to review nanodevice flake polygons?

Yes, reviewing nanodevice flake polygons requires alignment and combine reports. The QA workflow correlates these quantitative reports with visual overlay results to support accurate pass, fail, or retry decisions for layout changes.

When should I run a polygon visual review in nanodevice workflows?

Run a polygon visual review in nanodevice workflows immediately after a commit step. This post-commit timing allows you to catch alignment or boundary errors early and decide whether to pass, retry, or reject the layout change.

How do I generate overlays for KLayout polygon quality assurance?

Generate overlays for KLayout polygon quality assurance by loading the background microscope image and committed polygons, then using existing display and MCP tooling to render visual overlays and capture assessment metrics for flake validation.