Agent skill

Render Hypermotion

by gooseworks-ai in gooseworks-ai/goose-skills

Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA…

MITAuto-check passedMedia & Creative

Install Render Hypermotion

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill render-hypermotion -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills render-hypermotion --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-hypermotion .claude/skills/render-hypermotion && 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
render-hypermotion
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
626 words
Files
6 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA…

  • The product-hypermotion format
  • SKILL.md covers Choices, The FREE assembly, Run and Contract
  • Tasks that involve AI video generation
  • Tasks that involve Motion graphics

What it does

Render Hypermotion is an agent skill from gooseworks-ai/goose-skills. Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA cards (italic skew, 1.08x outline echo, 3D extrusion, slam-with-shake, inversion flash) plus a real-logo PIL end card (base64-decoded from the brand SVG), center-crop 1:1 to 9:16, and explicit-map mux a music bed. Deterministic, FREE (PIL + FFmpeg), no paid calls, the real logo and spec typography stay pixel-crisp…

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/README.md` and `scripts/config.example.json`).

It sits in Media & Creative, covering AI video generation, Motion graphics and Video production. It works with Seedance and FFmpeg. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • The product-hypermotion format
  • Tasks that involve AI video generation
  • Tasks that involve Motion graphics

Example prompts

  • “/render-hypermotion”

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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 3 files in scripts/, which the agent can run.

    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

Render Hypermotion loads about 1.4k tokens when it runs. Until then it costs about 170 tokens; SKILL.md has 626 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~170
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 626 words, ~1,417 tokens.

Download SKILL.mdSave it as .claude/skills/render-hypermotion/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
render-hypermotion
description
Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA cards (italic skew, 1.08x outline echo, 3D extrusion, slam-with-shake, inversion flash) plus a real-logo PIL end card (base64-decoded from the brand SVG), center-crop 1:1 to 9:16, and explicit-map mux a music bed. Deterministic, FREE (PIL + FFmpeg), no paid calls, the real logo and spec typography stay pixel-crisp. The paid steps (the ONE Seedance i2v, the music) are separate capabilities; the recipe orchestrates them. Use for the product-hypermotion format.
status
active

render-hypermotion

Assembles a product-hypermotion + kinetic-typography ad: a vertical 9:16 sizzle (~20–30s) where ONE spectacular AI-gen hypermotion clip of the hero product carries the energy and punchy PIL-rendered spec cards carry the facts. Music-led, no VO — it reads as a high-production sizzle, not UGC.

The reusable IP is one-call-many-cuts + intercut: dice ONE 12–15s Seedance 2.0 hypermotion i2v into 5–6 segments (never a paid call per segment) and interleave PIL kinetic-typography spec cards between the cuts, capped by a real-logo end card, over a beat-driven music bed.

This capability ships the FREE, deterministic assembly — everything between the two paid model calls. It is documentation-grade + config: the format has no runnable driver. scripts/ carries the worked config + the step-by-step pipeline doc; the Soundboks reference PIL impls (gen_kinetic_v6.py, gen_endcard_v10.py, assemble_v10.py) are copied + adapted per run, not vendored.

  • config.example.json — the Soundboks worked example: hero product, 5 spec callouts, the 5-block Seedance prompt, per-card treatments, beat structure, end-card spec, music brief, dims. Copy its structure to config.json; never its creative values. Card labels equal their text_cards keys (intro, spec_1..spec_N, cta) so beat_structure.concat_order resolves to kinetic-movs/<key>.mp4.
  • PIPELINE.md — the full config-field → step map: Phase 0 assets → Phase 1 PAID Seedance + music (parallel, gated) → Phase 2 FREE PIL cards → Phase 3 FREE dice/intercut/concat/mux → Phase 4 watch/QC. Names the atom/tool each step uses, plus 20s/25s/30s beat-structure variants.
  • README.md — documents the FREE assembly (below).

Choices

The calling recipe asks the user these before any paid step; this capability only assembles what they produced. The Soundboks values are a worked example, never defaults.

  • energy → config.brand_voice, Seedance block 1, music.bpm (demo: party, 124 BPM).
  • environment → Seedance blocks 3–4 (demo: beach festival deck).
  • lighting → Seedance blocks 2–3 (demo: dusk, magenta/blue rim).
  • music → config.music.prompt (demo: bass-driven party banger).

The assembly itself is choice-agnostic: segment cut points, card order and the end card read only from config.

Show full SKILL.md (325 more words)Show less

The FREE assembly

  • PIL kinetic-typography spec/CTA cards — full-frame 1080×1920 clips rendered frame-by-frame on a dark grain BG with the static Space Grotesk Bold TTF: italic skew (~6°), outline echo at 1.08× (bleed-safe), 3D extrusion (hero stat + CTA, side = brand accent), slam-with-shake, and color/inversion flash. No VO — the cards carry every fact.
  • Real-logo PIL end card — the brand's actual logo PNG (base64-decoded out of the SVG, never typeset) with a slam-motion-blur entry, settle, continuous micro-motion (±1% scale + ±3px drift for the full hold — never freeze), an inversion flash at ~60%, and a cascade reveal of the spec-dot subtitle + CTA.
  • FFmpeg dice + intercut — center-crop the ONE hypermotion clip 1:1 → 9:16, dice into 5–6 decreasing-length segments at Seedance's natural beats (crash-zoom → orbit → settle), then concat in the fixed intercut order: open on the intro card, alternate segment ↔ spec card, end on the CTA + brand end card.
  • Explicit-map mux — mux the music bed as a SEPARATE pass with -map 0:v -map 1:a (the default mapping silently ships ~1 kbps garbage audio; verify ffprobe ≈ 192 kbps).

Run

# Phase 2 — FREE PIL cards (per config.text_cards + config.end_card)
#   render each spec/CTA card + the real-logo end card, 1080x1920, frame-by-frame → mov
# Phase 3 — FREE dice + intercut + mux
#   center-crop 1:1→9:16, dice into 5-6 segments, concat in beat_structure order,
#   then explicit-map mux the music bed → master-final.mp4

Output: master-final.mp4, 1080×1920, ≈20–30s (25s default) h264 (+ 192 kbps aac music) — 14 segments: intro + 6 hypermotion cuts + 5 spec cards + CTA + real-logo end card. All FREE, $0.

Contract

  • Deterministic + FREE (PIL + FFmpeg); no paid calls, no AI-rendered logo or spec text.
  • ONE hypermotion clip, diced into 5–6 segments — never a paid call per segment (cheaper AND identity-consistent: same camera/grade/subject in one call).
  • The end card is the brand's real logo PNG, base64-decoded from the SVG — never typeset; it must micro-move for the full hold (never freeze).
  • Spec cards carry every fact (no VO); outline echoes stay ≤1.08× so nothing bleeds off frame; use the static Space Grotesk Bold TTF (variable renders as Regular in PIL).
  • The paid steps — the ONE Seedance 2.0 hypermotion i2v (5-block prompt with the mandatory ABSOLUTE CONSTRAINTS block, or the geometry drifts) + the ElevenLabs music bed — are separate capabilities (create-video-fal, create-music-elevenlabs); the recipe orchestrates them and gates the spend.

© gooseworks-ai, MIT. 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) in skills/ads/capabilities/render-hypermotion of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/PIPELINE.md
  • scripts/README.md
  • scripts/config.example.json
  • skill.meta.json
  • tests/smoke-test.md

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Render Hypermotion 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.

Render Hypermotion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Render Hypermotion this skillgooseworks-ai/goose-skills1.2k—~1.4kAutomated safety check: PassMIT
Super Video MakerBomx/super-video-maker-skill310—~11kAutomated safety check: NotesNone
Editorial Collage MotionPluviobyte/rnskill1.6k—~1.2kAutomated safety check: PassCustom licence
HyperFrames Video Entry Pointheygen-com/hyperframes60k3 repos~5.2kAutomated safety check: PassApache-2.0
Muapi DirectorAnil-matcha/vox-ai-motion-graphics-generator246—~679Automated safety check: PassNone
Ffmpeg MixingvargHQ/sdk340—~676Automated safety check: PassMIT

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Works with

Questions about Render Hypermotion

What does Render Hypermotion do?

Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA…. Render Hypermotion is an agent skill from gooseworks-ai/goose-skills.08x outline echo, 3D extrusion, slam-with-shake, inversion flash) plus a real-logo PIL end card (base64-decoded from the brand SVG), center-crop 1:1 to 9:16, and explicit-map mux a music bed.

When should I use Render Hypermotion?

Render Hypermotion fits situations like: the product-hypermotion format; tasks that involve AI video generation; tasks that involve Motion graphics.

How do I install Render Hypermotion in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill render-hypermotion -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-hypermotion in gooseworks-ai/goose-skills) into .claude/skills/render-hypermotion in your project. Claude Code loads it when a task matches its description.

How do I install Render Hypermotion in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill render-hypermotion -a codex`. Or copy the skill folder (skills/ads/capabilities/render-hypermotion in gooseworks-ai/goose-skills) into .agents/skills/render-hypermotion in your project. Codex loads it when a task matches its description.

Can I use Render Hypermotion 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 gooseworks-ai/goose-skills --skill render-hypermotion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render-hypermotion, .gemini/skills/render-hypermotion, .github/skills/render-hypermotion and .opencode/skills/render-hypermotion in your project.

What does Render Hypermotion need to run?

SKILL.md names no scripts, command-line tools or credentials: Render Hypermotion is instructions for the agent only.

Does Render Hypermotion 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 Render Hypermotion 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 Render Hypermotion use?

Render Hypermotion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Render Hypermotion use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Render Hypermotion?

Skills that share tags, products or a category with Render Hypermotion: Super Video Maker (Bomx/super-video-maker-skill, 310 stars), Editorial Collage Motion (Pluviobyte/rnskill, 1.6k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars) and Muapi Director (Anil-matcha/vox-ai-motion-graphics-generator, 246 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Render Hypermotion?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.