# Point Cloud Processing Skill

> Specialized skill for 3D point cloud processing and analysis using PCL and Open3D

- Skill: `majiayu000/point-cloud-processing-skill` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/point-cloud-processing-skill`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/point-cloud-processing-skill/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/point-cloud-processing-skill

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# Point Cloud Processing Skill

## Overview

Expert skill for processing, analyzing, and manipulating 3D point cloud data using PCL (Point Cloud Library) and Open3D.

## Capabilities

- Implement point cloud filtering (voxel grid, statistical outlier, passthrough)
- Configure ground plane segmentation (RANSAC, SAC)
- Implement clustering algorithms (Euclidean, DBSCAN)
- Set up surface reconstruction (Poisson, ball pivoting)
- Configure feature extraction (FPFH, SHOT, PFH)
- Implement registration algorithms (ICP, NDT, GICP)
- Set up octree and KD-tree spatial indexing
- Process organized and unorganized point clouds
- Implement point cloud downsampling strategies
- Configure LiDAR-camera fusion

## Target Processes

- lidar-mapping-localization.js
- object-detection-pipeline.js
- sensor-fusion-framework.js
- synthetic-data-pipeline.js

## Dependencies

- PCL (Point Cloud Library)
- Open3D
- pcl_ros
- laser_geometry

## Usage Context

This skill is invoked when processes require 3D point cloud manipulation, LiDAR data processing, surface reconstruction, or point cloud registration tasks.

## Output Artifacts

- Point cloud processing pipelines
- Filter chain configurations
- Registration parameters
- Segmentation algorithms
- Feature extraction configurations
- Fusion pipeline code