Erm
dougcalobrisi/erm
Install and run erm, the local CLI that removes filler words / disfluencies (um, uh, er, erm, ah, hmm, mhm, mm, uh-huh and elongations) from spoken-audio recordings.
Separate a person, product or hand from the background in a video, on the user's own computer with SAM 2.
Install Object Separation
$ npx skills add Barty-Bart/motion-graphics --skill object-separation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Barty-Bart/motion-graphics object-separation --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/Barty-Bart/motion-graphics.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/object-separation .claude/skills/object-separation && 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 "object-separation" agent skill from https://github.com/Barty-Bart/motion-graphics/tree/main/skills/object-separation into .claude/skills/object-separation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "object-separation", 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/Barty-Bart/motion-graphics/tree/main/skills/object-separationType 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 Barty-Bart/motion-graphics --skill object-separation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Barty-Bart/motion-graphics object-separation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Barty-Bart/motion-graphics.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/object-separation .agents/skills/object-separation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "object-separation" agent skill from https://github.com/Barty-Bart/motion-graphics/tree/main/skills/object-separation into .agents/skills/object-separation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "object-separation", 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 Barty-Bart/motion-graphics --skill object-separation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Barty-Bart/motion-graphics object-separation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Barty-Bart/motion-graphics.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/object-separation .cursor/skills/object-separation && 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 "object-separation" agent skill from https://github.com/Barty-Bart/motion-graphics/tree/main/skills/object-separation into .cursor/skills/object-separation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "object-separation", 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/Barty-Bart/motion-graphics.git --path skills/object-separation--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 Barty-Bart/motion-graphics --skill object-separation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Barty-Bart/motion-graphics object-separation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Barty-Bart/motion-graphics.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/object-separation .gemini/skills/object-separation && 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 "object-separation" agent skill from https://github.com/Barty-Bart/motion-graphics/tree/main/skills/object-separation into .gemini/skills/object-separation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "object-separation", 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 Barty-Bart/motion-graphics object-separationInstalls 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 Barty-Bart/motion-graphics --skill object-separation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Barty-Bart/motion-graphics.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/object-separation .github/skills/object-separation && 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 "object-separation" agent skill from https://github.com/Barty-Bart/motion-graphics/tree/main/skills/object-separation into .github/skills/object-separation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "object-separation", 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 Barty-Bart/motion-graphics --skill object-separation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Barty-Bart/motion-graphics object-separation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Barty-Bart/motion-graphics.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/object-separation .opencode/skills/object-separation && 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 "object-separation" agent skill from https://github.com/Barty-Bart/motion-graphics/tree/main/skills/object-separation into .opencode/skills/object-separation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "object-separation", 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
object-separation- GitHub stars
- 493
- Token cost
- ~2.4k tokens
- SKILL.md length
- 566 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Separate a person, product or hand from the background in a video, on the user's own computer with SAM 2.
- Works in 6 steps: Set up in a folder that can be deleted → Scan the computer and pick the model → Pick the click points → …
- Someone wants to separate
- SKILL.md covers 1. Set up in a folder that can…, 2. Scan the computer and pick…, 3. Pick the click points and 4. Separate the subject, plus 3 more sections
- Calls python3, pip and ffmpeg
What it does
Object Separation is an agent skill from Barty-Bart/motion-graphics. Separate a person, product or hand from the background in a video, on the user's own computer with SAM 2. Scans the machine first to pick the right model size, then outputs the same video with the separated subject highlighted in green, plus frame-by-frame masks. Use when someone wants to separate, isolate, cut out or rotoscope something in a video.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative. It works with Python and NVIDIA AI Platform. The repository describes itself as: Motion-graphics skills for Claude Code and Codex.
When your agent uses it
- Someone wants to separate
- Rotoscope something in a video
Example prompts
- “/object-separation”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Set up in a folder that can be deleted
- Scan the computer and pick the model
- Pick the click points
- Separate the subject
- Output the video with the subject in green
- Clean up (optional)
What it can do on your machine
Read from SKILL.md and the folder at commit 83355bb. 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
Shell commands in SKILL.md call:
python3pipffmpeg
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Object Separation loads about 2.4k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 566 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 566 words (~2,354 tokens).
“Separate one subject from the background in a video. Everything runs on the user's computer and nothing is uploaded. The result is the same video with the subject highlighted in green, so the user can see exactly what was separated…”
- name
- object-separation
Files
Just SKILL.md in skills/object-separation of Barty-Bart/motion-graphics.
Open the folder on GitHubat commit 83355bb
Compare with similar skills
Object Separation 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 |
|---|---|---|---|---|---|---|
| Object Separation this skillBarty-Bart/motion-graphics | 493 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Ermdougcalobrisi/erm | 112 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Refactor OpCVCUDA/CV-CUDA | 2.7k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Dstack Prototypingdstackai/dstack | 2.3k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 | |
| Nsight Graphics AnalyzerLuna5ama/Alpha-Piscium | 156 | — | ~4.7k | Automated safety check: Pass | GPL-3.0 | |
| Optimize OpCVCUDA/CV-CUDA | 2.7k | — | ~834 | Automated safety check: Pass | Custom licence |
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Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.
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Drive NVIDIA Nsight Graphics 2026.1+ from the command line for GPU performance analysis, frame capture, frame trace inspection, draw-call inspection, NVTX/D3DPERF stage timing, replay metadata…
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Related
Works with
Categories
Questions about Object Separation
What does Object Separation do?
Separate a person, product or hand from the background in a video, on the user's own computer with SAM 2. Object Separation is an agent skill from Barty-Bart/motion-graphics. Separate a person, product or hand from the background in a video, on the user's own computer with SAM 2.
When should I use Object Separation?
Object Separation fits situations like: someone wants to separate; rotoscope something in a video.
How do I install Object Separation in Claude Code?
Run `npx skills add Barty-Bart/motion-graphics --skill object-separation -a claude-code`. Or copy the skill folder (skills/object-separation in Barty-Bart/motion-graphics) into .claude/skills/object-separation in your project. Claude Code loads it when a task matches its description.
How do I install Object Separation in Codex?
Run `npx skills add Barty-Bart/motion-graphics --skill object-separation -a codex`. Or copy the skill folder (skills/object-separation in Barty-Bart/motion-graphics) into .agents/skills/object-separation in your project. Codex loads it when a task matches its description.
Can I use Object Separation 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 Barty-Bart/motion-graphics --skill object-separation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/object-separation, .gemini/skills/object-separation, .github/skills/object-separation and .opencode/skills/object-separation in your project.
What does Object Separation need to run?
Going by SKILL.md and its folder, Object Separation needs the command-line tools its instructions call (python3, pip and ffmpeg). Our summary lists: Python 3.
Does Object Separation access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Object Separation 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. Review the folder before installing.
What licence does Object Separation use?
Object Separation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Object Separation use?
About 2.4k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Object Separation?
Skills that share tags, products or a category with Object Separation: Erm (dougcalobrisi/erm, 112 stars), Refactor Op (CVCUDA/CV-CUDA, 2.7k stars), Dstack Prototyping (dstackai/dstack, 2.3k stars) and Nsight Graphics Analyzer (Luna5ama/Alpha-Piscium, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Object Separation?
Barty-Bart (a GitHub user) maintains it in Barty-Bart/motion-graphics, which has 493 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 5, 2026.
Source: Barty-Bart/motion-graphics on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.