Demo Video
hmislk/hmis
A skill your agent uses when asked to make a demo, training, how-to or tutorial video with sound or voice-over showing an HMIS function or configuration (e.g.
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop…
Install Render 3D Product Showcase
$ npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-3d-product-showcase --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-3d-product-showcase .claude/skills/render-3d-product-showcase && 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 "render-3d-product-showcase" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase into .claude/skills/render-3d-product-showcase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-3d-product-showcase", 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/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcaseType 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 gooseworks-ai/goose-skills --skill render-3d-product-showcase -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-3d-product-showcase --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/render-3d-product-showcase .agents/skills/render-3d-product-showcase && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "render-3d-product-showcase" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase into .agents/skills/render-3d-product-showcase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-3d-product-showcase", 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 gooseworks-ai/goose-skills --skill render-3d-product-showcase -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-3d-product-showcase --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/render-3d-product-showcase .cursor/skills/render-3d-product-showcase && 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 "render-3d-product-showcase" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase into .cursor/skills/render-3d-product-showcase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-3d-product-showcase", 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/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-3d-product-showcase--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 gooseworks-ai/goose-skills --skill render-3d-product-showcase -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-3d-product-showcase --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/render-3d-product-showcase .gemini/skills/render-3d-product-showcase && 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 "render-3d-product-showcase" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase into .gemini/skills/render-3d-product-showcase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-3d-product-showcase", 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 gooseworks-ai/goose-skills render-3d-product-showcaseInstalls 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 gooseworks-ai/goose-skills --skill render-3d-product-showcase -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/render-3d-product-showcase .github/skills/render-3d-product-showcase && 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 "render-3d-product-showcase" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase into .github/skills/render-3d-product-showcase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-3d-product-showcase", 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 gooseworks-ai/goose-skills --skill render-3d-product-showcase -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills render-3d-product-showcase --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/render-3d-product-showcase .opencode/skills/render-3d-product-showcase && 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 "render-3d-product-showcase" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-3d-product-showcase into .opencode/skills/render-3d-product-showcase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-3d-product-showcase", 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
render-3d-product-showcase- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 566 words
- Files
- 9 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop…
- Works in 2 steps: build_endcard.py --bg… → build_masters.py --config config.json…
- The 3d-product-showcase format
- SKILL.md covers Choices, Run and Contract (the free assembly)
- Runs Python and JavaScript scripts from its folder; calls ffmpeg
What it does
Render 3D Product Showcase is an agent skill from gooseworks-ai/goose-skills. Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop colour, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at loudnorm I=-16 (music-only, no VO). Ships the runnable buildendcard.py + buildmasters.py; the rotation/macro clips are create-video-fal i2v seeded on a create-image-fal styled hero, the reveal is…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/README.md` and `scripts/build_endcard.py`).
It sits in Testing & QA, covering Text to speech and voice and Browser testing. It works with ElevenLabs and Playwright. 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 3d-product-showcase format
- Tasks that involve Text to speech and voice
- Tasks that involve Browser testing
Example prompts
- “/render-3d-product-showcase”
Requirements
- Python 3
- Node.js
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- build_endcard.py --bg beat1_last_frame.png --headline "…" --wordmark --out endcard.png
- build_masters.py --config config.json --clips working/clips --endcard endcard.png --music music.mp3 --out master.mp4
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 6 files in scripts/ (Python and JavaScript), which the agent can run.
Shell commands in SKILL.md call:
ffmpeg
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 3D Product Showcase loads about 1.2k tokens when it runs. Until then it costs about 159 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); 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). 566 words, ~1,244 tokens.
Download SKILL.mdSave it as
.claude/skills/render-3d-product-showcase/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- render-3d-product-showcase
- description
- Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop colour, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at loudnorm I=-16 (music-only, no VO). Ships the runnable build_endcard.py + build_masters.py; the rotation/macro clips are create-video-fal i2v seeded on a create-image-fal styled hero, the reveal is Veo3 i2v, and the bed is create-music-elevenlabs. Use for the 3d-product-showcase format.
- status
- active
render-3d-product-showcase
Assemble a premium 3D product-showcase ad from a config: one real product floats centered
on a clean seamless backdrop (colour and lighting chosen per brand) and sells itself across four beats — an orbiting hero
rotation, a macro push-in on the surface detail, a physics reveal (exploded_view /
particle_disintegration / liquid_splash, or rotation_only), then a typographic brand
close. This capability is the FREE, deterministic assembly that stitches the delivered
beats into the master; it spends nothing.
scripts/config.example.json is the worked example (DIBS Beauty "Desert Island Duo", ~15s
720×1280 9:16); scripts/build_endcard.py + scripts/build_masters.py are the runnable free
assembly; scripts/PIPELINE.md maps every config block to its source step; scripts/README.md
documents the assembly.
Choices
The recipe asks these before any paid step; this capability only assembles their result. The demo's value is an example, never a default:
backdrop→studio_look.bg(the pad colourbuild_masters.pyuses) + the beat prompts. Demo: bubblegum pink#F8B8C6.lighting_mood→studio_look.lighting_preset/rim_light+ the beat prompts. Demo:luxe_botanical_warm(warm rim light upper-right, warm bokeh).reveal→reveal_variant+beats[2]. Demo:exploded_view.music→music.prompt(the bed passed tobuild_masters.py --music). Demo: uplifting pop-ambient, drop at 7s, 100 BPM.
Run
This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are
separate capabilities: Beats 1 & 2 (hero rotation + macro push-in) are create-video-fal
image-to-video seeded on a create-image-fal styled hero — a nano-banana restyle of the
brand's REAL product photo onto the seamless studio set, so the product geometry is real and
never AI-invented; Beat 3 (the physics reveal) is a Veo3 image-to-video seeded on Beat 1's last
frame (also create-video-fal); the one instrumental bed is create-music-elevenlabs. There
is no Higgsfield / Marketing Studio in this format — everything paid runs through the
fal-proxy / elevenlabs-proxy so it bills the Ads agent.
Given those beats + the brand wordmark, this capability:
build_endcard.py --bg beat1_last_frame.png --headline "…" --wordmark <wordmark> --out endcard.png— the deterministic Beat-4 hyperframe (Playwright 1080×1920 → ffmpeg-scale to 720×1280).build_masters.py --config config.json --clips working/clips --endcard endcard.png --music music.mp3 --out master.mp4— trims each beat to its window, normalizes to the brand canvas, hard-concats, mixes the bed.
Re-cuts reuse the existing beats and cost $0.
Show full SKILL.md (224 more words)Show less
Contract (the free assembly)
- Music-only, no VO. One ElevenLabs instrumental bed carries the film; nobody speaks. Do not add a spoken voiceover or a second bed.
- Beat 1's last frame is the shared anchor. Extract it (
ffmpeg -sseof -0.1 … -frames:v 1) once — it seeds the Veo3 Beat 3 AND backs the Beat 4 end-card hyperframe, so the product + lighting carry across all four beats and the geometry never AI-drifts. - End card via Playwright from the real wordmark — never AI-render brand text. The brand
close is a deterministic hyperframe (Beat 1 last frame + scrim + serif headline —
--headline-font, Playfair Display by default — + the real wordmark, recolored for contrast).build_endcard.pyauto-picks a legible headline color from the bg luminance and renders 1080×1920 then scales to 720×1280. The headline font is loaded from Google Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an uninstalled browser build, exportPW_CHROME=<installed Chromium binary>(shoot.js honours it). - Normalize each beat to the brand canvas, hard-concat. Per beat: trim to the window, strip
the i2v model's auto-audio (
-an), scale + pad to 720×1280 with the brandbgpad color, 24fps, yuv420p, crf 18 → concat demuxer. No dissolves. - FFmpeg mix, deterministic, FREE. Mix one instrumental bed (
afadein/out +loudnorm I=-16 TP=-1.5 LRA=11, apad + atrimmed to master duration) over the concatenated beats → a 720×1280 h264+aac master. No paid calls, no keys.
© 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 8 other files (scripts) in skills/ads/capabilities/render-3d-product-showcase of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/build_endcard.py
- scripts/build_masters.py
- scripts/config.example.json
- scripts/shoot.js
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render 3D Product Showcase 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 |
|---|---|---|---|---|---|---|
| Render 3D Product Showcase this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Demo Videohmislk/hmis | 236 | — | ~3.9k | Automated safety check: Pass | GPL-3.0 | |
| Whiteboard Videotrustfuture/simon-skills | 382 | — | ~1.8k | Automated safety check: Notes | MIT | |
| Immersive Short Videoxrkseek/XRK-AGT | 138 | — | ~1k | Automated safety check: Pass | MIT | |
| Motion Adfabricioctelles/skills | 106 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Voice To Videowwwzhouhui/skills_collection | 283 | — | ~1.1k | Automated safety check: Pass | None |
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Related
Works with
Categories
Questions about Render 3D Product Showcase
What does Render 3D Product Showcase do?
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop…. Render 3D Product Showcase is an agent skill from gooseworks-ai/goose-skills. Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop colour, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at loudnorm I=-16 (music-only, no VO).
When should I use Render 3D Product Showcase?
Render 3D Product Showcase fits situations like: the 3d-product-showcase format; tasks that involve Text to speech and voice; tasks that involve Browser testing.
How do I install Render 3D Product Showcase in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-3d-product-showcase in gooseworks-ai/goose-skills) into .claude/skills/render-3d-product-showcase in your project. Claude Code loads it when a task matches its description.
How do I install Render 3D Product Showcase in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase -a codex`. Or copy the skill folder (skills/ads/capabilities/render-3d-product-showcase in gooseworks-ai/goose-skills) into .agents/skills/render-3d-product-showcase in your project. Codex loads it when a task matches its description.
Can I use Render 3D Product Showcase 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-3d-product-showcase -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-3d-product-showcase, .gemini/skills/render-3d-product-showcase, .github/skills/render-3d-product-showcase and .opencode/skills/render-3d-product-showcase in your project.
What does Render 3D Product Showcase need to run?
Going by SKILL.md and its folder, Render 3D Product Showcase needs Python and JavaScript for the scripts in its folder and the command-line tools its instructions call (ffmpeg). Our summary lists: Python 3; Node.js.
Does Render 3D Product Showcase 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 3D Product Showcase 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 3D Product Showcase use?
Render 3D Product Showcase 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 3D Product Showcase use?
About 1.2k tokens (SKILL.md is roughly 5k 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 3D Product Showcase?
Skills that share tags, products or a category with Render 3D Product Showcase: Demo Video (hmislk/hmis, 236 stars), Whiteboard Video (trustfuture/simon-skills, 382 stars), Immersive Short Video (xrkseek/XRK-AGT, 138 stars) and Motion Ad (fabricioctelles/skills, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render 3D Product Showcase?
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.