What does the Cli Anything Cloudcompare AI skill do?

Command-line interface for CloudCompare — Agent-friendly harness for CloudCompare, the open-source 3D point cloud and mesh processing software. Supports 41 commands across 9 groups: project management, session control, point cloud operations (subsample, filter, segment, analyze), mesh operations, distance computation (C2C, C2M), transformations (ICP, matrix), export (LAS/LAZ/PLY/PCD/OBJ/STL/E57), and interactive REPL.

Why use Cli Anything Cloudcompare on TypingMind?

Because you install it once and use it with any model. Cli Anything Cloudcompare is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cli Anything Cloudcompare in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/CLI-Anything/tree/main/cloudcompare/agent-harness/cli_anything/cloudcompare/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cli Anything Cloudcompare?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cli Anything Cloudcompare?

As many as you like. As long as a model supports skills, you can use Cli Anything Cloudcompare with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cli Anything Cloudcompare AI skill free?

Yes. It is published on GitHub by HKUDS under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Cli Anything Cloudcompare by HKUDS — AI Skill for Any LLM

cli-anything-cloudcompare

Agent-friendly command-line harness for CloudCompare — the open-source 3D point cloud and mesh processing software.

41 commands across 9 groups.

Installation

bash
pip install cli-anything-cloudcompare

Prerequisites:

Python 3.10+
CloudCompare installed on your system
- Linux (Flatpak): flatpak install flathub org.cloudcompare.CloudCompare
- macOS/Windows: download from https://cloudcompare.org

Tested with: CloudCompare 2.13.2 (Flatpak, Linux)

Global Options

These options must be placed before the subcommand:

bash
cli-anything-cloudcompare [--project FILE] [--json] COMMAND [ARGS]...

Option	Description
`-p, --project TEXT`	Path to project JSON file
`--json`	Output results as JSON (for agent consumption)

Command Groups

1. project — Project Management (3 commands)

project new

Create a new empty project file.

bash
# Create a project with default name
cli-anything-cloudcompare project new -o myproject.json

# Create a project with a custom name
cli-anything-cloudcompare project new -o myproject.json -n "Bridge Survey 2024"

# JSON output for agents
cli-anything-cloudcompare --json project new -o myproject.json

Options: -o/--output TEXT (required), -n/--name TEXT

project info

Show project info and loaded entities.

bash
cli-anything-cloudcompare --project myproject.json project info

# JSON output
cli-anything-cloudcompare --project myproject.json --json project info

project status

Show quick project status (cloud count, mesh count, last operation).

bash
cli-anything-cloudcompare --project myproject.json project status

2. session — Session Management (4 commands)

session save

Save the current project state to disk.

bash
cli-anything-cloudcompare --project myproject.json session save

session history

Show recent operation history.

bash
# Show last 10 operations (default)
cli-anything-cloudcompare --project myproject.json session history

# Show last 5 operations
cli-anything-cloudcompare --project myproject.json session history -n 5

Options: -n/--last INTEGER

session set-format

Update the default export format for future operations.

bash
# Set default cloud export to LAS
cli-anything-cloudcompare --project myproject.json session set-format --cloud-fmt LAS --cloud-ext las

# Set default mesh export to OBJ
cli-anything-cloudcompare --project myproject.json session set-format --mesh-fmt OBJ --mesh-ext obj

# Set both cloud and mesh defaults
cli-anything-cloudcompare --project myproject.json session set-format \
  --cloud-fmt PLY --cloud-ext ply \
  --mesh-fmt STL --mesh-ext stl

Options: --cloud-fmt TEXT, --cloud-ext TEXT, --mesh-fmt TEXT, --mesh-ext TEXT

session undo

Remove the last operation from history (soft undo — does not delete output files).

bash
cli-anything-cloudcompare --project myproject.json session undo

3. cloud — Point Cloud Operations (21 commands)

All cloud commands take CLOUD_INDEX (0-based integer from cloud list) and most accept --add-to-project to register the output back into the project.

cloud add

Add a point cloud file to the project.

bash
# Add a LAS file
cli-anything-cloudcompare --project myproject.json cloud add /data/scan.las

# Add with a label
cli-anything-cloudcompare --project myproject.json cloud add /data/scan.las -l "roof scan"

Options: -l/--label TEXT

cloud list

List all clouds currently in the project.

bash
cli-anything-cloudcompare --project myproject.json cloud list

# JSON output for parsing indices
cli-anything-cloudcompare --project myproject.json --json cloud list

cloud convert

Convert a cloud from one format to another (format determined by file extension).

bash
# LAS → PLY
cli-anything-cloudcompare cloud convert /data/scan.las /data/scan.ply

# PCD → LAS
cli-anything-cloudcompare cloud convert /data/cloud.pcd /data/cloud.las

cloud subsample

Reduce the number of points using RANDOM, SPATIAL, or OCTREE method.

bash
# Random: keep 100 000 points
cli-anything-cloudcompare --project myproject.json cloud subsample 0 \
  -o /data/sub_random.las -m random -n 100000

# Spatial: minimum distance 0.05 m between points
cli-anything-cloudcompare --project myproject.json cloud subsample 0 \
  -o /data/sub_spatial.las -m spatial -n 0.05

# Octree: level 8
cli-anything-cloudcompare --project myproject.json cloud subsample 0 \
  -o /data/sub_octree.las -m octree -n 8 --add-to-project

Options: -o/--output TEXT (required), -m/--method [random|spatial|octree], -n/--param FLOAT, --add-to-project

cloud crop

Crop a cloud to an axis-aligned bounding box.

bash
# Keep points inside the box
cli-anything-cloudcompare --project myproject.json cloud crop 0 \
  -o /data/cropped.las \
  --xmin 0.0 --ymin 0.0 --zmin 0.0 \
  --xmax 10.0 --ymax 10.0 --zmax 5.0

# Keep points OUTSIDE the box
cli-anything-cloudcompare --project myproject.json cloud crop 0 \
  -o /data/exterior.las \
  --xmin 0.0 --ymin 0.0 --zmin 0.0 \
  --xmax 10.0 --ymax 10.0 --zmax 5.0 --outside

Options: -o/--output TEXT (required), --xmin/ymin/zmin/xmax/ymax/zmax FLOAT (all required), --outside, --add-to-project

cloud normals

Compute surface normals via the octree method.

bash
# Compute normals at octree level 6
cli-anything-cloudcompare --project myproject.json cloud normals 0 \
  -o /data/with_normals.ply --level 6

# Compute normals oriented toward +Z
cli-anything-cloudcompare --project myproject.json cloud normals 0 \
  -o /data/with_normals.ply --level 6 --orientation plus_z --add-to-project

cloud invert-normals

Flip all normal vectors in the cloud.

bash
cli-anything-cloudcompare --project myproject.json cloud invert-normals 0 \
  -o /data/flipped_normals.ply --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud filter-sor

Statistical Outlier Removal — removes isolated noise points.

bash
# Default parameters (k=6 neighbours, 1.0 std ratio)
cli-anything-cloudcompare --project myproject.json cloud filter-sor 0 \
  -o /data/denoised.las

# Custom parameters
cli-anything-cloudcompare --project myproject.json cloud filter-sor 0 \
  -o /data/denoised.las --nb-points 12 --std-ratio 2.0 --add-to-project

Options: -o/--output TEXT (required), --nb-points INTEGER, --std-ratio FLOAT, --add-to-project

cloud noise-filter

Remove noisy points using the PCL noise filter (KNN or radius mode).

bash
# KNN mode (default)
cli-anything-cloudcompare --project myproject.json cloud noise-filter 0 \
  -o /data/clean.las --knn 8 --noisiness 1.0

# Radius mode
cli-anything-cloudcompare --project myproject.json cloud noise-filter 0 \
  -o /data/clean.las --radius 0.1 --use-radius --add-to-project

Options: -o/--output TEXT (required), --knn INTEGER, --noisiness FLOAT, --radius FLOAT, --use-radius, --absolute, --add-to-project

cloud filter-csf

Ground filtering using the Cloth Simulation Filter (CSF) algorithm. Separates ground from off-ground points (buildings, vegetation).

bash
# Extract ground only — mixed terrain
cli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \
  --ground /data/ground.las --scene relief

# Split ground + off-ground — urban scene
cli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \
  --ground /data/ground.las \
  --offground /data/buildings.las \
  --scene flat --cloth-resolution 0.5 --class-threshold 0.3

# Steep forested slope with slope post-processing
cli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \
  --ground /data/terrain.las --scene slope --proc-slope --add-to-project

Options: -g/--ground TEXT (required), -u/--offground TEXT, --scene [slope|relief|flat], --cloth-resolution FLOAT, --class-threshold FLOAT, --max-iteration INTEGER, --proc-slope, --add-to-project

cloud filter-sf

Filter a cloud by scalar field value range (keep points where SF ∈ [min, max]).

bash
# Keep points with SF value between 10 and 50
cli-anything-cloudcompare --project myproject.json cloud filter-sf 0 \
  -o /data/filtered.las --min 10.0 --max 50.0

# Filter using a specific SF index
cli-anything-cloudcompare --project myproject.json cloud filter-sf 0 \
  -o /data/filtered.las --min 0.0 --max 1.5 --sf-index 2 --add-to-project

Options: -o/--output TEXT (required), --min FLOAT (required), --max FLOAT (required), --sf-index INTEGER, --add-to-project

cloud sf-from-coord

Convert a coordinate axis (X/Y/Z) to a scalar field. Commonly used to create a height (Z) scalar field.

bash
# Create Z scalar field (height)
cli-anything-cloudcompare --project myproject.json cloud sf-from-coord 0 \
  -o /data/with_z_sf.las --dim z --add-to-project

# Create X scalar field with a specific active index
cli-anything-cloudcompare --project myproject.json cloud sf-from-coord 0 \
  -o /data/with_x_sf.las --dim x --sf-index 0

Options: -o/--output TEXT (required), --dim [x|y|z] (default: z), --sf-index INTEGER, --add-to-project

cloud sf-filter-z

Convenience command: convert Z → scalar field and filter by height range in one step.

bash
# Extract points between z=1.0 m and z=2.5 m
cli-anything-cloudcompare --project myproject.json cloud sf-filter-z 0 \
  -o /data/slice.las --min 1.0 --max 2.5 --add-to-project

# Only apply upper bound
cli-anything-cloudcompare --project myproject.json cloud sf-filter-z 0 \
  -o /data/below_5m.las --max 5.0

Options: -o/--output TEXT (required), --min FLOAT, --max FLOAT, --add-to-project

cloud sf-to-rgb

Convert the active scalar field to RGB colours.

bash
cli-anything-cloudcompare --project myproject.json cloud sf-to-rgb 0 \
  -o /data/coloured.ply --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud rgb-to-sf

Convert RGB colours to a scalar field (luminance value).

bash
cli-anything-cloudcompare --project myproject.json cloud rgb-to-sf 0 \
  -o /data/luminance.las --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud curvature

Compute curvature scalar field (MEAN or GAUSS).

bash
# Mean curvature with radius 0.5 m
cli-anything-cloudcompare --project myproject.json cloud curvature 0 \
  -o /data/curvature.las --type mean --radius 0.5

# Gaussian curvature
cli-anything-cloudcompare --project myproject.json cloud curvature 0 \
  -o /data/curvature.las --type gauss --radius 0.5 --add-to-project

Options: -o/--output TEXT (required), --type [mean|gauss], -r/--radius FLOAT, --add-to-project

cloud roughness

Compute roughness scalar field (deviation from local best-fit plane).

bash
cli-anything-cloudcompare --project myproject.json cloud roughness 0 \
  -o /data/roughness.las --radius 0.2 --add-to-project

Options: -o/--output TEXT (required), -r/--radius FLOAT, --add-to-project

cloud density

Compute point density scalar field.

bash
# KNN density
cli-anything-cloudcompare --project myproject.json cloud density 0 \
  -o /data/density.las --type knn --radius 0.5

# Surface density
cli-anything-cloudcompare --project myproject.json cloud density 0 \
  -o /data/density.las --type surface --radius 1.0 --add-to-project

Options: -o/--output TEXT (required), -r/--radius FLOAT, --type [knn|surface|volume], --add-to-project

cloud segment-cc

Segment cloud into connected components (clusters). Each component is saved as a separate file.

bash
# Segment with octree level 8, minimum 100 points per component
cli-anything-cloudcompare --project myproject.json cloud segment-cc 0 \
  -o /data/components/ --octree-level 8 --min-points 100

# Save components as PLY files
cli-anything-cloudcompare --project myproject.json cloud segment-cc 0 \
  -o /data/components/ --octree-level 6 --min-points 50 --fmt ply

Options: -o/--output-dir TEXT (required), --octree-level INTEGER, --min-points INTEGER, --fmt TEXT

cloud merge

Merge all clouds in the project into a single cloud.

bash
cli-anything-cloudcompare --project myproject.json cloud merge \
  -o /data/merged.las --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud mesh-delaunay

Build a 2.5-D Delaunay triangulation mesh from a cloud.

bash
# Basic Delaunay mesh
cli-anything-cloudcompare --project myproject.json cloud mesh-delaunay 0 \
  -o /data/surface.obj

# Best-fit plane with max edge length limit
cli-anything-cloudcompare --project myproject.json cloud mesh-delaunay 0 \
  -o /data/surface.ply --best-fit --max-edge-length 2.0 --add-to-project

Options: -o/--output TEXT (required), --best-fit, --max-edge-length FLOAT, --add-to-project

4. mesh — Mesh Operations (3 commands)

mesh add

Add a mesh file to the project.

bash
cli-anything-cloudcompare --project myproject.json mesh add /data/model.obj

# Add with label
cli-anything-cloudcompare --project myproject.json mesh add /data/model.ply -l "building model"

Options: -l/--label TEXT

mesh list

List all meshes in the project.

bash
cli-anything-cloudcompare --project myproject.json mesh list

# JSON output
cli-anything-cloudcompare --project myproject.json --json mesh list

mesh sample

Sample a point cloud from a mesh surface.

bash
# Sample 50 000 points from mesh at index 0
cli-anything-cloudcompare --project myproject.json mesh sample 0 \
  -o /data/sampled.las -n 50000

# Add sampled cloud back to project
cli-anything-cloudcompare --project myproject.json mesh sample 0 \
  -o /data/sampled.las -n 100000 --add-to-project

Options: -o/--output TEXT (required), -n/--count INTEGER, --add-to-project

5. distance — Distance Computation (2 commands)

distance c2c

Compute cloud-to-cloud distances. Adds a distance scalar field to the compared cloud.

bash
# Compare cloud 1 to reference cloud 0
cli-anything-cloudcompare --project myproject.json distance c2c \
  --compare 1 --reference 0 -o /data/distances.las

# Split into X/Y/Z components at octree level 8
cli-anything-cloudcompare --project myproject.json distance c2c \
  --compare 1 --reference 0 -o /data/distances.las \
  --split-xyz --octree-level 8 --add-to-project

Options: --compare TEXT (required), --reference TEXT (required), -o/--output TEXT (required), --split-xyz, --octree-level INTEGER, --add-to-project

distance c2m

Compute cloud-to-mesh distances. Adds a distance scalar field to the cloud.

bash
# Basic cloud-to-mesh distance
cli-anything-cloudcompare --project myproject.json distance c2m \
  --cloud 0 --mesh 0 -o /data/c2m_dist.las

# With flipped normals and unsigned distances
cli-anything-cloudcompare --project myproject.json distance c2m \
  --cloud 0 --mesh 0 -o /data/c2m_dist.las \
  --flip-normals --unsigned --add-to-project

Options: --cloud INTEGER (required), --mesh INTEGER (required), -o/--output TEXT (required), --flip-normals, --unsigned, --add-to-project

6. transform — Transformations and Registration (2 commands)

transform apply

Apply a 4×4 rigid-body transformation matrix to a cloud.

bash
# Apply a transformation matrix from file
cli-anything-cloudcompare --project myproject.json transform apply 0 \
  -o /data/transformed.las -m /data/matrix.txt

# Apply the inverse transformation
cli-anything-cloudcompare --project myproject.json transform apply 0 \
  -o /data/transformed.las -m /data/matrix.txt --inverse --add-to-project

The matrix file must contain 4 rows of 4 space-separated values:

Options: -o/--output TEXT (required), -m/--matrix TEXT (required), --inverse, --add-to-project

transform icp

Run ICP (Iterative Closest Point) registration to align one cloud to another.

bash
# Basic ICP alignment
cli-anything-cloudcompare --project myproject.json transform icp \
  --aligned 1 --reference 0 -o /data/aligned.las

# ICP with overlap and iteration control
cli-anything-cloudcompare --project myproject.json transform icp \
  --aligned 1 --reference 0 -o /data/aligned.las \
  --max-iter 50 --overlap 80 --min-error-diff 1e-6 --add-to-project

Options: --aligned INTEGER (required), --reference INTEGER (required), -o/--output TEXT (required), --max-iter INTEGER, --min-error-diff FLOAT, --overlap FLOAT, --add-to-project

7. export — Export Clouds and Meshes (4 commands)

export formats

List all available export format presets.

bash
cli-anything-cloudcompare export formats

# JSON output
cli-anything-cloudcompare --json export formats

export cloud

Export a cloud to a target format.

bash
# Export cloud at index 0 as LAS
cli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.las

# Export as PLY using preset
cli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.ply -f ply

# Overwrite if file exists
cli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.las -f las --overwrite

Supported presets: las, laz, ply, pcd, xyz, asc, csv, bin, e57

Options: -f/--preset TEXT, --overwrite

export mesh

Export a mesh to a target format.

bash
# Export mesh at index 0 as OBJ
cli-anything-cloudcompare --project myproject.json export mesh 0 /data/model.obj

# Export as STL
cli-anything-cloudcompare --project myproject.json export mesh 0 /data/model.stl -f stl --overwrite

Supported presets: obj, stl, ply, bin

Options: -f/--preset TEXT, --overwrite

export batch

Batch export all project clouds to a directory.

bash
# Export all clouds as LAS
cli-anything-cloudcompare --project myproject.json export batch \
  -d /data/exports/ -f las

# Overwrite existing files
cli-anything-cloudcompare --project myproject.json export batch \
  -d /data/exports/ -f ply --overwrite

Options: -d/--output-dir TEXT (required), -f/--preset TEXT, --overwrite

8. info — Installation Info (1 command)

Show CloudCompare installation path and version.

bash
cli-anything-cloudcompare info

# JSON output
cli-anything-cloudcompare --json info

9. repl — Interactive REPL (1 command)

Start the interactive REPL session with history and undo support.

bash
# Start REPL without a project
cli-anything-cloudcompare repl

# Start REPL with an existing project
cli-anything-cloudcompare repl -p myproject.json

# Equivalent: run without subcommand
cli-anything-cloudcompare --project myproject.json

Options: -p/--project TEXT

Inside the REPL, type help to list available commands or session undo to revert the last operation.

Supported File Formats

Format	Extension	Read	Write	Notes
LAS	`.las`	✓	✓	LiDAR standard, supports intensity/RGB
LAZ	`.laz`	✓	✓	Compressed LAS
PLY	`.ply`	✓	✓	ASCII or binary
PCD	`.pcd`	✓	✓	PCL format
XYZ	`.xyz`	✓	✓	Plain text XYZ
ASC	`.asc`	✓	✓	ASCII with header
CSV	`.csv`	✓	✓	Comma-separated
E57	`.e57`	✓	✓	ASTM scanner exchange
BIN	`.bin`	✓	✓	CloudCompare native binary
OBJ	`.obj`	✓	✓	Mesh (Wavefront)
STL	`.stl`	✓	✓	Mesh (3D printing)

Typical Workflows

Workflow 1: LiDAR Pre-processing Pipeline

bash
P=myproject.json

# 1. Create project and load scan
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/scan.las
cli-anything-cloudcompare --project $P cloud list  # note index → 0

# 2. Denoise
cli-anything-cloudcompare --project $P cloud filter-sor 0 \
  -o /data/denoised.las --nb-points 6 --std-ratio 1.0 --add-to-project

# 3. Subsample to 5 cm grid
cli-anything-cloudcompare --project $P cloud subsample 1 \
  -o /data/subsampled.las -m spatial -n 0.05 --add-to-project

# 4. Extract ground plane (CSF)
cli-anything-cloudcompare --project $P cloud filter-csf 2 \
  --ground /data/ground.las --offground /data/objects.las \
  --scene relief --add-to-project

# 5. Export result
cli-anything-cloudcompare --project $P export cloud 3 /data/ground_final.las -f las --overwrite

Workflow 2: Change Detection Between Two Scans

bash
P=compare.json
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/scan_2023.las   # index 0
cli-anything-cloudcompare --project $P cloud add /data/scan_2024.las   # index 1

# ICP alignment (align 2024 to 2023)
cli-anything-cloudcompare --project $P transform icp \
  --aligned 1 --reference 0 -o /data/aligned_2024.las \
  --overlap 90 --add-to-project   # index 2

# Cloud-to-cloud distance
cli-anything-cloudcompare --project $P distance c2c \
  --compare 2 --reference 0 -o /data/change_map.las --add-to-project

# Export as LAS with distance scalar field
cli-anything-cloudcompare --project $P export cloud 3 /data/change_map_final.las --overwrite

Workflow 3: Height Slice Extraction

bash
P=slice.json
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/building.las

# Extract points at 2–3 m height (floor level)
cli-anything-cloudcompare --project $P cloud sf-filter-z 0 \
  -o /data/floor_slice.las --min 2.0 --max 3.0 --add-to-project

# Export
cli-anything-cloudcompare --project $P export cloud 1 /data/floor_slice_out.las --overwrite

Workflow 4: Surface Reconstruction

bash
P=mesh.json
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/terrain.las

# Compute normals
cli-anything-cloudcompare --project $P cloud normals 0 \
  -o /data/with_normals.ply --level 6 --orientation plus_z --add-to-project

# Delaunay mesh
cli-anything-cloudcompare --project $P cloud mesh-delaunay 1 \
  -o /data/terrain_mesh.obj --max-edge-length 1.0 --add-to-project

# Export mesh
cli-anything-cloudcompare --project $P export mesh 0 /data/terrain_mesh_final.obj --overwrite

Error Handling

Exit Code	Meaning
`0`	Success
`1`	General error (see stderr for details)
`2`	Invalid arguments

Common errors:

bash
# CloudCompare not found
# → Install CloudCompare; check `cli-anything-cloudcompare info`

# Index out of range
# → Run `cloud list` or `mesh list` to confirm valid indices

# File already exists (no --overwrite)
# → Add --overwrite flag to export commands

# fcntl not available (Windows)
# → File locking is skipped automatically; project save still works

For AI Agents

Always use --json flag for parseable output
Check return codes — 0 for success, non-zero for errors
Parse stderr for error messages on failure
Use absolute paths for all file arguments
Verify output files exist after export operations
Chain with --add-to-project to build multi-step pipelines without re-loading files
Use cloud list --json to discover valid cloud indices before each operation
Use export formats --json to discover available format presets

Version

Component	Version
cli-anything-cloudcompare	1.0.0
CloudCompare (tested)	2.13.2
Python (minimum)	3.10

Publisher	HKUDS
Repository	`CLI-Anything`
Skill name	`cli-anything-cloudcompare`
Stars	49.5K
Forks	4.6K
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

cli-anything-cloudcompare

Installation

Global Options

Command Groups

1. project — Project Management (3 commands)

project new

project info

project status

2. session — Session Management (4 commands)

session save

session history

session set-format

session undo

3. cloud — Point Cloud Operations (21 commands)

cloud add

cloud list

cloud convert

cloud subsample

cloud crop

cloud normals

cloud invert-normals

cloud filter-sor

cloud noise-filter

cloud filter-csf

cloud filter-sf

cloud sf-from-coord

cloud sf-filter-z

cloud sf-to-rgb

cloud rgb-to-sf

cloud curvature

cloud roughness

cloud density

cloud segment-cc

cloud merge

cloud mesh-delaunay

4. mesh — Mesh Operations (3 commands)

mesh add

mesh list

mesh sample

5. distance — Distance Computation (2 commands)

distance c2c

distance c2m

6. transform — Transformations and Registration (2 commands)

transform apply

transform icp

7. export — Export Clouds and Meshes (4 commands)

export formats

export cloud

export mesh

export batch

8. info — Installation Info (1 command)

9. repl — Interactive REPL (1 command)

Supported File Formats

Typical Workflows

Workflow 1: LiDAR Pre-processing Pipeline

Workflow 2: Change Detection Between Two Scans

Workflow 3: Height Slice Extraction

Workflow 4: Surface Reconstruction

Error Handling

For AI Agents

Version

Frequently asked questions

Related AI Skills

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