SkillAgentSearch skills...

render-hypermotion

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-l…

Install / Use

npx skills add gooseworks-ai/goose-skills --skill render-hypermotion

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Category

Other

Supported Platforms

Universal

Tags

Our assessment of render-hypermotion

render-hypermotion scores 85/100 on our quality scale, 190th of 283 Other skills we index.

Its SKILL.md is 5.6 KB long, well organised into 10 sections with 1 code example: a solid amount of guidance for an agent.

With 1,222 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 33 days ago, so render-hypermotion is actively maintained.
  • Our last check on 2026-10-12 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

render-hypermotion compared with similar skills

All 4 of these similar skills score higher than render-hypermotion; compare them before choosing.

SkillScoreStarsUpdatedFormat
render-hypermotion (this skill)by gooseworks-ai851.2k33d agoSKILL.md
algorithmic-artby anthropics100177.9k33d agoSKILL.md
pptxby anthropics100177.9k33d agoSKILL.md
designby nextlevelbuilder100137.2k11d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100137.2k11d agoSKILL.md

Frequently asked questions

How do I install render-hypermotion?
Run npx skills add gooseworks-ai/goose-skills --skill render-hypermotion. The install tabs above show the steps for each supported agent.
Which AI agents does render-hypermotion work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is render-hypermotion safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is render-hypermotion still maintained?
The repository was last updated 33 days ago, so render-hypermotion is actively maintained.

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 demo's reference PIL impls (gen_kinetic_v6.py, gen_endcard_v10.py, assemble_v10.py) are not vendored; rebuild them per run from PIPELINE.md.

  • config.example.json — the Glowmule worked example (a made-up camp lantern): 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 Glowmule values are a worked example, never defaults.

  • energy → config.brand_voice, Seedance block 1, music.bpm (demo: adventure, 124 BPM).
  • environment → Seedance blocks 3–4 (demo: mountain campsite ledge).
  • lighting → Seedance blocks 2–3 (demo: blue hour, warm amber rim).
  • music → config.music.prompt (demo: driving outdoor-adventure anthem).

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

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.

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.

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryOther
Updated1mo ago
Forks208

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions