Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
Generate masks for all objects in images or folders with Segment Anything's SamAutomaticMaskGenerator and the bundled AMG CLI.
Install Automatic Mask Generation
$ npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill automatic-mask-generation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation .claude/skills/automatic-mask-generation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "automatic-mask-generation" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation into .claude/skills/automatic-mask-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automatic-mask-generation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill automatic-mask-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation .agents/skills/automatic-mask-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "automatic-mask-generation" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation into .agents/skills/automatic-mask-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automatic-mask-generation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill automatic-mask-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation .cursor/skills/automatic-mask-generation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "automatic-mask-generation" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation into .cursor/skills/automatic-mask-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automatic-mask-generation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill automatic-mask-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation .gemini/skills/automatic-mask-generation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "automatic-mask-generation" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation into .gemini/skills/automatic-mask-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automatic-mask-generation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill automatic-mask-generationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation .github/skills/automatic-mask-generation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "automatic-mask-generation" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation into .github/skills/automatic-mask-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automatic-mask-generation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill automatic-mask-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation .opencode/skills/automatic-mask-generation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "automatic-mask-generation" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation into .opencode/skills/automatic-mask-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automatic-mask-generation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
automatic-mask-generation- GitHub stars
- 330
- Token cost
- ~650 tokens
- SKILL.md length
- 201 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Generate masks for all objects in images or folders with Segment Anything's SamAutomaticMaskGenerator and the bundled AMG CLI.
- Batch automatic masks
- SKILL.md covers Quick Start, Routing and Key Defaults
- Runs Python scripts from its folder; calls python
- PNG/CSV outputs
What it does
Automatic Mask Generation is an agent skill from VectorSpaceLab/AREX-Skill. Generate masks for all objects in images or folders with Segment Anything's SamAutomaticMaskGenerator and the bundled AMG CLI. Use for batch automatic masks, PNG/CSV outputs, COCO RLE JSON, threshold tuning, crop settings, and memory-aware AMG runs.
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/api-reference.md`, `references/cli-reference.md` and `references/troubleshooting.md`).
It sits in Documents & Office, covering CSV and tabular files. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- Batch automatic masks
- PNG/CSV outputs
- Threshold tuning
- Memory-aware AMG runs
Example prompts
- “/automatic-mask-generation”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Automatic Mask Generation loads about 650 tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 201 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 201 words, ~650 tokens.
Download SKILL.mdSave it as
.claude/skills/automatic-mask-generation/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- automatic-mask-generation
- description
- Generate masks for all objects in images or folders with Segment Anything's SamAutomaticMaskGenerator and the bundled AMG CLI. Use for batch automatic masks, PNG/CSV outputs, COCO RLE JSON, threshold tuning, crop settings, and memory-aware AMG runs.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
Automatic Mask Generation
Use this sub-skill when the user wants SAM to segment all visible objects in an image or folder without point or box prompts. It covers SamAutomaticMaskGenerator, the bundled scripts/amg_cli.py, binary mask PNG folders, metadata.csv, COCO RLE JSON, threshold tuning, crop expansion, batching, and memory tradeoffs.
Do not use this sub-skill for prompted point/box/mask refinement; route those requests to ../prompted-segmentation/. Do not use it for ONNX export, browser inference, or the web demo; route those requests to ../onnx-and-browser/.
Quick Start
python sub-skills/automatic-mask-generation/scripts/amg_cli.py \
--checkpoint sam_vit_b_01ec64.pth \
--model-type vit_b \
--input images/ \
--output masks/ \
--device cpuFor COCO-style RLE JSON instead of per-mask PNG folders:
python sub-skills/automatic-mask-generation/scripts/amg_cli.py \
--checkpoint sam_vit_h_4b8939.pth \
--model-type vit_h \
--input image.jpg \
--output masks-rle/ \
--convert-to-rle \
--device cudaRouting
- Use
references/api-reference.mdfor direct Python use ofSamAutomaticMaskGeneratorand returned annotation records. - Use
references/cli-reference.mdfor exact bundled CLI flags, output layout, and optional dependency checks. - Use
references/workflows.mdfor folder runs, COCO RLE conversion, threshold tuning, and avoiding GPU out-of-memory failures. - Use
references/troubleshooting.mdfor missingcv2, missingpycocotools, checkpoint/model mismatch, CPU fallback, unreadable images, empty output, and memory blowups.
Key Defaults
- Registry keys are
default,vit_h,vit_l, andvit_b;defaultis equivalent to the ViT-H builder. SamAutomaticMaskGenerator(model)defaults topoints_per_side=32,points_per_batch=64,pred_iou_thresh=0.88,stability_score_thresh=0.95,crop_n_layers=0,min_mask_region_area=0, andoutput_mode="binary_mask".output_mode="coco_rle"requirespycocotools;min_mask_region_area > 0requires OpenCV.- Large images, high
points_per_side, largepoints_per_batch, crop layers, and binary mask output all increase memory use.
© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/api-reference.md
- references/cli-reference.md
- references/troubleshooting.md
- references/workflows.md
- scripts/amg_cli.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Automatic Mask Generation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Automatic Mask Generation this skillVectorSpaceLab/AREX-Skill | 330 | — | ~650 | Automated safety check: Pass | Apache-2.0 | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Abuse Hunternexu-io/harness-engineering-guide | 664 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT | |
| Sector Analysttradermonty/claude-trading-skills | 3k | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Automatic Mask Generation
What does Automatic Mask Generation do?
Generate masks for all objects in images or folders with Segment Anything's SamAutomaticMaskGenerator and the bundled AMG CLI. Automatic Mask Generation is an agent skill from VectorSpaceLab/AREX-Skill. Generate masks for all objects in images or folders with Segment Anything's SamAutomaticMaskGenerator and the bundled AMG CLI.
When should I use Automatic Mask Generation?
Automatic Mask Generation fits situations like: batch automatic masks; PNG/CSV outputs; threshold tuning; memory-aware AMG runs.
How do I install Automatic Mask Generation in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation in VectorSpaceLab/AREX-Skill) into .claude/skills/automatic-mask-generation in your project. Claude Code loads it when a task matches its description.
How do I install Automatic Mask Generation in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a codex`. Or copy the skill folder (skills/repositories/repo-skills/segment-anything/sub-skills/automatic-mask-generation in VectorSpaceLab/AREX-Skill) into .agents/skills/automatic-mask-generation in your project. Codex loads it when a task matches its description.
Can I use Automatic Mask Generation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill automatic-mask-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/automatic-mask-generation, .gemini/skills/automatic-mask-generation, .github/skills/automatic-mask-generation and .opencode/skills/automatic-mask-generation in your project.
What does Automatic Mask Generation need to run?
Going by SKILL.md and its folder, Automatic Mask Generation needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Automatic Mask Generation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Automatic Mask Generation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Automatic Mask Generation use?
Automatic Mask Generation is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Automatic Mask Generation use?
About 650 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.
What are the alternatives to Automatic Mask Generation?
Skills that share tags, products or a category with Automatic Mask Generation: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 664 stars) and Markit (shift-labs-ai/markit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Automatic Mask Generation?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.