Creator · gooseworks-ai
Last updated · Sep 4, 2026
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 brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and
Creator · gooseworks-ai
Last updated · Sep 4, 2026
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 brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and
Creator · gooseworks-ai
Last updated · Sep 4, 2026
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 brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and
Creator · gooseworks-ai
Last updated · Sep 4, 2026
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 brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and
Sandbox only
Install targets
Codex install prompt
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. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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 brand-color canvas, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-3d-product-showcase","task":"Install render-3d-product-showcase","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Maintenance
fresh
6d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
1.2K
77/100 Quality · 80/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The scripts use subprocess with user-supplied file paths; while not inherently unsafe, there is a theoretical risk of path traversal or command injection if inputs are not sanitized. The skill does not explicitly mention input validation.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
6d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseDo not use when
Alternative
174.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.9K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.9K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
Agent should check
Copy prompt
Task: Use render-3d-product-showcase in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
LLM text format
/api/skills/gooseworks-ai-render-3d-product-showcase/install?format=text
Find alternatives
/api/skills/search?q=render-3d-product-showcase&limit=3
Agent prompt
Use render-3d-product-showcase for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase
LLM text
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase?format=text
Install alias
/api/registry/install/gooseworks-ai-render-3d-product-showcase
Recommend
/api/registry/recommend?task=Use%20render-3d-product-showcase%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- 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 brand-color canvas, 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 brand-color backdrop 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.
## 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:
1. `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). 2. `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**.
## 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 + Playfair headline + the real wordmark, recolored for contrast). `build_endcard.py` auto-picks a legible headline color from the bg luminance and renders 1080×1920 then scales to 720×1280. Playfair is loaded from Google Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an uninstalled browser build, export `PW_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 brand `bg` pad color, 24fps, yuv420p, crf 18 → concat demuxer. No dissolves. - **FFmpeg mix, deterministic, FREE.** Mix one instrumental bed (`afade` in/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.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-3d-product-showcase, ready for a manual X post.
render-3d-product-showcase: Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero r... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x
Listing + install path for render-3d-product-showcase: https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.9K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.9K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.9K StarsSandbox only
Install targets
Codex install prompt
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. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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 brand-color canvas, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-3d-product-showcase","task":"Install render-3d-product-showcase","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Maintenance
fresh
6d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
1.2K
77/100 Quality · 80/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The scripts use subprocess with user-supplied file paths; while not inherently unsafe, there is a theoretical risk of path traversal or command injection if inputs are not sanitized. The skill does not explicitly mention input validation.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
6d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseDo not use when
Alternative
174.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.9K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.9K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
Agent should check
Copy prompt
Task: Use render-3d-product-showcase in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
LLM text format
/api/skills/gooseworks-ai-render-3d-product-showcase/install?format=text
Find alternatives
/api/skills/search?q=render-3d-product-showcase&limit=3
Agent prompt
Use render-3d-product-showcase for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase
LLM text
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase?format=text
Install alias
/api/registry/install/gooseworks-ai-render-3d-product-showcase
Recommend
/api/registry/recommend?task=Use%20render-3d-product-showcase%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- 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 brand-color canvas, 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 brand-color backdrop 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.
## 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:
1. `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). 2. `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**.
## 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 + Playfair headline + the real wordmark, recolored for contrast). `build_endcard.py` auto-picks a legible headline color from the bg luminance and renders 1080×1920 then scales to 720×1280. Playfair is loaded from Google Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an uninstalled browser build, export `PW_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 brand `bg` pad color, 24fps, yuv420p, crf 18 → concat demuxer. No dissolves. - **FFmpeg mix, deterministic, FREE.** Mix one instrumental bed (`afade` in/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.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-3d-product-showcase, ready for a manual X post.
render-3d-product-showcase: Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero r... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x
Listing + install path for render-3d-product-showcase: https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.9K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.9K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.9K StarsSandbox only
Install targets
Codex install prompt
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. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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 brand-color canvas, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-3d-product-showcase","task":"Install render-3d-product-showcase","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Maintenance
fresh
6d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
1.2K
77/100 Quality · 80/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The scripts use subprocess with user-supplied file paths; while not inherently unsafe, there is a theoretical risk of path traversal or command injection if inputs are not sanitized. The skill does not explicitly mention input validation.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
6d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseDo not use when
Alternative
174.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.9K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.9K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
Agent should check
Copy prompt
Task: Use render-3d-product-showcase in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
LLM text format
/api/skills/gooseworks-ai-render-3d-product-showcase/install?format=text
Find alternatives
/api/skills/search?q=render-3d-product-showcase&limit=3
Agent prompt
Use render-3d-product-showcase for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase
LLM text
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase?format=text
Install alias
/api/registry/install/gooseworks-ai-render-3d-product-showcase
Recommend
/api/registry/recommend?task=Use%20render-3d-product-showcase%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- 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 brand-color canvas, 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 brand-color backdrop 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.
## 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:
1. `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). 2. `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**.
## 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 + Playfair headline + the real wordmark, recolored for contrast). `build_endcard.py` auto-picks a legible headline color from the bg luminance and renders 1080×1920 then scales to 720×1280. Playfair is loaded from Google Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an uninstalled browser build, export `PW_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 brand `bg` pad color, 24fps, yuv420p, crf 18 → concat demuxer. No dissolves. - **FFmpeg mix, deterministic, FREE.** Mix one instrumental bed (`afade` in/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.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-3d-product-showcase, ready for a manual X post.
render-3d-product-showcase: Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero r... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x
Listing + install path for render-3d-product-showcase: https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.9K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.9K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.9K StarsSandbox only
Install targets
Codex install prompt
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. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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 brand-color canvas, 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-3d-product-showcase","task":"Install render-3d-product-showcase","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Maintenance
fresh
6d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
1.2K
77/100 Quality · 80/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The scripts use subprocess with user-supplied file paths; while not inherently unsafe, there is a theoretical risk of path traversal or command injection if inputs are not sanitized. The skill does not explicitly mention input validation.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
6d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseDo not use when
Alternative
174.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.9K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.9K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
Agent should check
Copy prompt
Task: Use render-3d-product-showcase in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-3d-product-showcase%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-3d-product-showcase/install
LLM text format
/api/skills/gooseworks-ai-render-3d-product-showcase/install?format=text
Find alternatives
/api/skills/search?q=render-3d-product-showcase&limit=3
Agent prompt
Use render-3d-product-showcase for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-3d-product-showcase/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcaseRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase
LLM text
/api/registry/manifest/gooseworks-ai-render-3d-product-showcase?format=text
Install alias
/api/registry/install/gooseworks-ai-render-3d-product-showcase
Recommend
/api/registry/recommend?task=Use%20render-3d-product-showcase%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- 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 brand-color canvas, 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 brand-color backdrop 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.
## 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:
1. `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). 2. `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**.
## 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 + Playfair headline + the real wordmark, recolored for contrast). `build_endcard.py` auto-picks a legible headline color from the bg luminance and renders 1080×1920 then scales to 720×1280. Playfair is loaded from Google Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an uninstalled browser build, export `PW_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 brand `bg` pad color, 24fps, yuv420p, crf 18 → concat demuxer. No dissolves. - **FFmpeg mix, deterministic, FREE.** Mix one instrumental bed (`afade` in/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.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-3d-product-showcase, ready for a manual X post.
render-3d-product-showcase: Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero r... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x
Listing + install path for render-3d-product-showcase: https://www.openagentskill.com/skills/gooseworks-ai-render-3d-product-showcase?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-3d-product-showcase
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Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.9K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.9K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.9K StarsPermission surface
network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness