Agent skill

Human Motion Extractor

by Pluviobyte in Pluviobyte/rnskill

Extracts body and hand keypoint trajectories from an authorized reference video, with skeleton previews and confidence data, for pose reference or motion control input.

Custom licenceAuto-check passedMedia & Creative

Install Human Motion Extractor

skills CLI
$ npx skills add Pluviobyte/rnskill --skill rn-human-motion-extractor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Pluviobyte/rnskill rn-human-motion-extractor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Pluviobyte/rnskill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rn-human-motion-extractor .claude/skills/rn-human-motion-extractor && rm -rf skills-src

Use ~/.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/

Facts

Skill name
rn-human-motion-extractor
GitHub stars
1.6k
Token cost
~1k tokens
SKILL.md length
458 words
Files
5 (incl. scripts, references)
Skills in repo
45
Repo updated
First seen
Licence
Custom licence

At a glance

Extracts body and hand keypoint trajectories from an authorized reference video, with skeleton previews and confidence data, for pose reference or motion control input.

  • Works in 5 steps: Lock the range and timebase → Create a local runtime → Extract the trajectory → …
  • Preparing skeleton reference data from a video you are allowed to analyze
  • SKILL.md covers Boundary, Workflow and Completion gates
  • Runs Python scripts from its folder; calls uv and python

What it does

Given a chosen range of a reference video, the bundled script scripts/extract_motion.py records 33 MediaPipe pose landmarks and 21 landmarks per detected hand, with raw and confidence-aware smoothed coordinates, normalized x and y, relative z, visibility, frame index and timestamp. The agent first probes the file with ffprobe for size, frame rate, duration and audio, and sets up an isolated Python environment with uv.

The skill is strict about boundaries: the reference must be public or one you are authorized to analyze, source footage and identity-preserving overlays stay in the private project workspace, and only the pure-skeleton video and keypoint data are treated as portable assets. Short gaps may be interpolated, but long ones stay missing. The agent inspects the previews and qc/extraction-stats.json before describing fidelity, and reports coverage instead of claiming exact finger motion.

When your agent uses it

  • Preparing skeleton reference data from a video you are allowed to analyze
  • Generating a pure-skeleton preview video of a performer's movement
  • Producing machine-readable keypoints for avatar motion control

Example prompts

  • “Extract the body and hand trajectories from the first part of clips/demo.mp4.”
  • “Make a skeleton-only preview of the dance in ref.mp4 and report how well the hands were tracked.”

Requirements

  • FFmpeg
  • Python 3.10 to 3.12
  • uv for the isolated environment

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Lock the range and timebase
  2. Create a local runtime
  3. Extract the trajectory
  4. Inspect evidence
  5. Deliver claims at the proved level

What it can do on your machine

Read from SKILL.md and the folder at commit 83d1783. 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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, 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

Human Motion Extractor loads about 1k tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 458 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 458 words (~1,045 tokens).

“Convert a selected range of an authorized reference video into reusable motion data. Preserve motion and timing; do not package the source person's appearance, voice, subtitles, or footage as a reusable identity asset.”

— opening of SKILL.md by Pluviobyte, Custom licence
name
rn-human-motion-extractor

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in skills/rn-human-motion-extractor of Pluviobyte/rnskill.

  • SKILL.md
  • agents/openai.yaml
  • references/keypoint-schema.md
  • scripts/extract_motion.py
  • scripts/requirements.txt

Open the folder on GitHubat commit 83d1783

Compare with similar skills

Human Motion Extractor 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.

Human Motion Extractor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Human Motion Extractor this skillPluviobyte/rnskill1.6k—~1kAutomated safety check: PassCustom licence
Manim Video Productionbrowser-use/video-use29k6 repos~3kAutomated safety check: PassMIT
Vox DirectorAlisa0808/vox-director2.2k—~5.6kAutomated safety check: PassMIT
VectCutAPI Video Editingsun-guannan/VectCutAPI2.3k—~2.1kAutomated safety check: PassApache-2.0
Mobile Demo Film Editorsuperset-sh/superset15k—~1.8kAutomated safety check: PassCustom licence
Video Podcast Makerdtsola/xiaoyaosearch1k—~3.4kAutomated safety check: PassMIT

Similar skills

  • Manim Video Production

    browser-use/video-use

    Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.

    29k GitHub starsUsed in 6 repos~3k tokens
    Media & CreativeAuto-check passed
  • Vox Director

    Alisa0808/vox-director

    Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all…

    2.2k GitHub stars~5.6k tokensUpdated 4 days ago
    Media & CreativeAuto-check passed
  • VectCutAPI Video Editing

    sun-guannan/VectCutAPI

    Drives CapCut or JianYing through an HTTP and MCP API: create drafts, add video, audio, text, subtitles and effects, preview on the web and batch-produce videos.

    2.3k GitHub stars~2.1k tokensUpdated 6 days ago
    Media & CreativeAuto-check passed
  • Mobile Demo Film Editor

    superset-sh/superset

    Edits real mobile screen recordings into a configurable demo video with phone framing, title cards, cutaways and an end card, using a bundled renderer.

    15k GitHub stars~1.8k tokensUpdated today
    Media & CreativeAuto-check passed
  • Video Podcast Maker

    dtsola/xiaoyaosearch

    Turns a topic into a 4K horizontal video podcast through research, scripting, text-to-speech, Remotion rendering and background music, and can learn styles from references.

    1k GitHub stars~3.4k tokensUpdated 8 days ago
    Media & CreativeAuto-check passed
  • VRGDG H3 Short Film Pipeline

    vrgamegirl19/comfyui-vrgamedevgirl

    Builds an AI short film in a local ComfyUI with the VRGDG Video Builder, MiniMax H3 scenes, reference images, a music score, QA and a final edit.

    765 GitHub stars~4.2k tokensUpdated today
    Media & CreativeAuto-check passed

More from Pluviobyte/rnskill

All 45 skills in this repo
  • Motion Replica Builder

    Pluviobyte/rnskill

    Analyzes a reference video's layout, motion and timing over a chosen time range, then builds an original animated replica with new copy and assets plus a final video QC.

    1.6k GitHub stars~1.7k tokensUpdated 19 days ago
    Auto-check passed
  • Niulai Style Image Transfer

    Pluviobyte/rnskill

    Restyles photos, film stills or new scene descriptions in the rough low-budget 3D look observed in the 2026 animated film Niulai, with an iterative scoring loop.

    1.6k GitHub stars~1.3k tokensUpdated 19 days ago
    Auto-check passed
  • Skill Captions

    Pluviobyte/rnskill

    Renders, previews, validates and burns in production subtitles from QC-passed caption timing, with fixed dark or light caption styles scaled to the video size.

    1.6k GitHub stars~1.3k tokensUpdated 19 days ago
    Auto-check passed
  • Creates Chinese social-media video covers in 3:4 and 4:3 from registered styles and shared presenter assets, or swaps the person in a reference cover for a digital-human frame.

    1.6k GitHub stars~1.2k tokensUpdated 19 days ago
    Auto-check passed
  • Generates a HeyGen digital-human video layer using a fixed avatar profile, local narration and an approved circular avatar placement.

    1.6k GitHub stars~2.4k tokensUpdated 19 days ago
    Auto-check passed
  • Generates SRT, VTT and caption JSON for final narration audio or a merged video using Volcengine Doubao ASR word timestamps, with a quality gate before delivery.

    1.6k GitHub stars~1.1k tokensUpdated 19 days ago
    Auto-check: notes

Works with

Questions about Human Motion Extractor

What does Human Motion Extractor do?

Extracts body and hand keypoint trajectories from an authorized reference video, with skeleton previews and confidence data, for pose reference or motion control input. py records 33 MediaPipe pose landmarks and 21 landmarks per detected hand, with raw and confidence-aware smoothed coordinates, normalized x and y, relative z, visibility, frame index and timestamp. The agent first probes the file with ffprobe for size, frame rate, duration and audio, and sets up an isolated Python environment with uv.

When should I use Human Motion Extractor?

Human Motion Extractor fits situations like: preparing skeleton reference data from a video you are allowed to analyze; generating a pure-skeleton preview video of a performer's movement; producing machine-readable keypoints for avatar motion control.

How do I install Human Motion Extractor in Claude Code?

Run `npx skills add Pluviobyte/rnskill --skill rn-human-motion-extractor -a claude-code`. Or copy the skill folder (skills/rn-human-motion-extractor in Pluviobyte/rnskill) into .claude/skills/rn-human-motion-extractor in your project. Claude Code loads it when a task matches its description.

How do I install Human Motion Extractor in Codex?

Run `npx skills add Pluviobyte/rnskill --skill rn-human-motion-extractor -a codex`. Or copy the skill folder (skills/rn-human-motion-extractor in Pluviobyte/rnskill) into .agents/skills/rn-human-motion-extractor in your project. Codex loads it when a task matches its description.

Can I use Human Motion Extractor 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 Pluviobyte/rnskill --skill rn-human-motion-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rn-human-motion-extractor, .gemini/skills/rn-human-motion-extractor, .github/skills/rn-human-motion-extractor and .opencode/skills/rn-human-motion-extractor in your project.

What does Human Motion Extractor need to run?

Going by SKILL.md and its folder, Human Motion Extractor needs Python for the scripts in its folder and the command-line tools its instructions call (uv and python). Our summary lists: FFmpeg; Python 3.10 to 3.12; uv for the isolated environment.

Does Human Motion Extractor access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Human Motion Extractor 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 Human Motion Extractor use?

Human Motion Extractor 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 Human Motion Extractor use?

About 1k tokens (SKILL.md is roughly 4.2k 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 289 tokens, read only when the agent opens those files.

What are the alternatives to Human Motion Extractor?

Skills that share tags, products or a category with Human Motion Extractor: Manim Video Production (browser-use/video-use, 29k stars), Vox Director (Alisa0808/vox-director, 2.2k stars), VectCutAPI Video Editing (sun-guannan/VectCutAPI, 2.3k stars) and Mobile Demo Film Editor (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Human Motion Extractor?

Pluviobyte (a GitHub user) maintains it in Pluviobyte/rnskill, which has 1,639 GitHub stars. The repository holds 45 skills in this directory. The repository was last updated on September 21, 2026.

Source: Pluviobyte/rnskill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.