klayoutclaw

Plugin klayoutclaw from marketplace klayoutclaw in caidish/KlayoutClaw. Commands read from the repo's manifest — 1 month ago.

Skills (17)

• klayoutclaw:display

  Toggle KLayout layer visibility on and off for better visualization. Use this skill when the user wants to show/hide layers, toggle layer display, change layer visibility, or focus on specific layers in KLayout. Also trigger when the user says things like "hide the metal layer", "show only mesa", "t

• klayoutclaw:e2e-judge

  Run agentic E2E tests for KlayoutClaw. Gives Claude Code natural-language tasks, lets it autonomously choose MCP tools, independently verifies layout state via direct MCP calls, and judges outcomes with gpt-5-mini. Use when the user wants to run agentic tests, validate KlayoutClaw, or benchmark agen

• klayoutclaw:geometry

  Create geometry in KLayout via MCP — rectangles, polygons, paths, cells, and cell instances. Use this skill whenever the user wants to draw, add, or create shapes/geometry/structures in KLayout, even if they don't say "geometry" explicitly. Trigger on phrases like "draw a rectangle", "add a polygon"

• klayoutclaw:image

  Load a reference image (microscope photo, optical image, SEM) into KLayout as a background overlay for design alignment. Use this skill whenever the user wants to load an image, add a background image, overlay a microscope photo, import a reference picture, align to a photo, or trace over an image.

• klayout_gds_import

  Import a GDS file into the current KLayout layout, flatten hierarchy, and merge into a single top cell. Use this instead of raw Layout.read() which leaves orphaned cell indices and multi-top-cell states.

• nanodevice_e2e_design

  Orchestrate end-to-end nanodevice design from user query through optional flake detection, material analysis, device geometry creation, routing, evaluation, and save. Device-agnostic methodology -- the agent derives physics rules from device type and available materials.

• nanodevice_flakedetect

  Use when detecting flakes from multiple microscope images, aligning cross-substrate van der Waals stacks, segmenting hBN/graphene/graphite, committing polygons to KLayout, aligning detections to a GDS template, or producing scored result.gds outputs.

• nanodevice_flakedetect_align

  Register source microscope images to the full_stack coordinate system using SIFT (same-substrate) or Chamfer+DE (cross-substrate) alignment. Use when aligning bottom_part, top_part, or other source images to the full_stack reference image for van der Waals stack detection.

• nanodevice_flakedetect_combine

  Transform detection results into the common full_stack coordinate system, build unified traces.json, and draw overlay images. Use after align and detect steps are complete.

• nanodevice_flakedetect_commit

  Insert detected flake polygons into KLayout as GDS geometry using the geometry skill's add_polygon.py. Use after combine completes to commit traces.json contours as polygons on the correct layers.

• nanodevice_flakedetect_detect

  Detect individual material layers (graphite, graphene, bottom hBN, top hBN) from their optimal source images. Use when segmenting specific materials in a van der Waals heterostructure stack from microscope images.

• nanodevice_flakedetect_review

  Agent review protocol for validating committed flake polygons in KLayout. Use after the commit step to visually inspect polygons against the microscope image, verify contour quality, and decide pass/fail/retry.

• nanodevice_flakedetect_sam

  SAM2-prompt assisted flake detection. Wraps the standard four flake detectors, emits prompt candidate images, optionally refines the selected candidate through local SAM2, and preserves the normal flakedetect output contract.

• nanodevice_gdsalign

  Align microscope stack images to a GDS fabrication template using lithographic marker detection. Computes image鈫扜DS transform and commits warped image + material contours to KLayout.

• nanodevice_routing

  Route nanodevice contacts to bonding pads with multi-window EBL support. Use this skill when the user needs to place bonding pads, route leads from device contacts to pads, set up multi-window EBL routing with different line widths per window, or add boundary connection patches between EBL write fie

• trd

  Use when implementing any task using Test-Reinforced Development — separates test writing (Overseer) from implementation (Executor) with anti-cheating enforcement. Invoke with /trd <task description>.

• klayoutclaw:visual

  Capture the current KLayout layout as a PNG image for visual inspection. Use this skill whenever the user wants to see, view, screenshot, preview, or visually inspect the current layout. Also trigger when the user asks "what does it look like", "show me the layout", "take a screenshot", "capture the

MCP servers (1)

• klayoutclaw

  runs: npx mcp-remote http://127.0.0.1:8765/mcp --allow-http

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