From metashape-mcp
Diagnoses alignment quality issues in Metashape projects—checks camera alignment rate, tie point density, reprojection error, sensor calibration. Provides actionable fix recommendations.
npx claudepluginhub jenkinsm13/claude-plugins --plugin metashape-mcpThis skill uses the workspace's default tool permissions.
Check alignment health and recommend fixes for the active Metashape chunk.
Sets up Metashape photogrammetry projects from scratch: imports photos/GPS/EXR masks, configures fisheye/rolling shutter/multi-camera sensors, runs image quality analysis via MCP server. For new captures.
Aligns source microscope images like bottom_part or top_part to full_stack reference using SIFT (same-substrate) or Chamfer+DE (cross-substrate) for van der Waals stack detection.
Analyzes images for SEO and performance: alt text quality, file sizes by category, formats (WebP/AVIF/JPEG/PNG/SVG), responsive images with srcset/sizes, lazy loading, CLS prevention, SERP rankings via DataForSEO, WebP/AVIF conversion, IPTC/XMP metadata.
Share bugs, ideas, or general feedback.
Check alignment health and recommend fixes for the active Metashape chunk.
get_alignment_stats for overall alignment summarylist_sensorsget_camera_spatial_stats for coverage gapsmatch_photos with higher keypoint_limit (60000–100000)guided_matching=Truedownscale (0 or 1 for highest accuracy)optimize_cameras with all distortion coefficientsadaptive_fitting=Truekeypoint_limit and tiepoint_limitanalyze_imagesreference_preselection=True/corridor-alignment-pipeline for incremental approachProvide a summary of findings with specific recommended tool calls and parameters.