How do I install the Render Flatlay skill?

Run npx skillmds add majiayu000/render-flatlay in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Render Flatlay safe to use?

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Which AI agents work with Render Flatlay?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Render Flatlay free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Render Flatlay?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Render Flatlay by majiayu000 — Agent Skill

Name: Render Flatlay
Rating: 4.2 (5 reviews)
Author: majiayu000

Render Flatlay

Render the FREE steps of the flatlay-product-reveal video format — composite each flat product cover onto the dressed tabletop plate to make the Veo start frames (build_start_frames), speed-and-hard-cut concat the i2v beats plus the HTML end card and mux the music (build_master), and screenshot the brand end-card HTML to a static-dwell clip (render_endcard). Deterministic, FREE (Playwright + PIL + FFmpeg), no paid calls, product covers and end-card text stay pixel-crisp. The paid steps (flat covers, Veo beats, music) are separate capabilities; the recipe orchestrates them. Use for the flatlay-product-reveal format.

majiayu000 354b4bd 2 files · 4.5 KB Updated Sep 9, 2026 567 repo stars

File contents

render-flatlay

Renders the FREE composite/assembly steps of the flatlay-product-reveal video format: a top-down tabletop listicle where, beat by beat, a product lies flat on a dressed linen plate, two hands cup and lift it, then hard-cut to the next product, closing on an HTML brand end card over a music bed.

Three FREE scripts, no paid model calls:

build_start_frames.py — PIL: composite each true-top-down flat product cover, centered at a natural size, onto the dressed tabletop plate → one Veo start frame per beat.
build_master.py — FFmpeg: speed each Veo beat by beat_speed (~1.5x, 4s → ~2.67s), HARD-CUT concat all beats (no dissolves — the listicle snap), optionally append the insert/greeting card, append the end-card clip, then mux the music bed. All clips are normalized to one fps/codec so concat-copy is safe.
render_endcard.py — Playwright screenshots the brand's own end_card.html (wordmark + trust icons + CTA) → an ffmpeg static-dwell mp4. Deterministic; the end-card text is the brand's real HTML, never AI-rendered.

Run

build_start_frames.py --config config.json --run-dir # composite flat covers → start frames render_endcard.py --config config.json --run-dir # brand HTML → end-card clip build_master.py --config config.json --run-dir # speed + hard-cut concat + mux → master-final.mp4

Output: 1080x1920, ~14-16s h264 (+ aac music). All FREE, $0.

Contract

Deterministic + FREE (PIL + Playwright + FFmpeg); no paid calls, no AI-rendered text.
Hard cuts between beats (no dissolves); camera stays locked top-down (a property of the paid beats, preserved here).
Product covers stay pixel-identical through composite + concat; the end card is the brand's own HTML.
The paid steps — flat-cover transform, Veo 3.1 i2v beats, ElevenLabs music — are separate capabilities (create-image-fal, create-video-fal, create-music-elevenlabs); the recipe orchestrates them and gates the spend.

---name: render-flatlaydescription: Render the FREE steps of the flatlay-product-reveal video format — composite each flat product cover onto the dressed tabletop plate to make the Veo start frames (build_start_frames), speed-and-hard-cut concat the i2v beats plus the HTML end card and mux the music (build_master), and screenshot the brand end-card HTML to a static-dwell clip (render_endcard). Deterministic, FREE (Playwright + PIL + FFmpeg), no paid calls, product covers and end-card text stay pixel-crisp. The paid steps (flat covers, Veo beats, music) are separate capabilities; the recipe orchestrates them. Use for the flatlay-product-reveal format.--- # render-flatlay Renders the FREE composite/assembly steps of the flatlay-product-reveal video format: a top-down tabletop listicle where, beat by beat, a product lies flat on a dressed linen plate, two hands cup and lift it, then hard-cut to the next product, closing on an HTML brand end card over a music bed. Three FREE scripts, no paid model calls: - **build_start_frames.py** — PIL: composite each true-top-down flat product cover, centered at a natural size, onto the dressed tabletop plate → one Veo start frame per beat. - **build_master.py** — FFmpeg: speed each Veo beat by `beat_speed` (~1.5x, 4s → ~2.67s), HARD-CUT concat all beats (no dissolves — the listicle snap), optionally append the insert/greeting card, append the end-card clip, then mux the music bed. All clips are normalized to one fps/codec so concat-copy is safe. - **render_endcard.py** — Playwright screenshots the brand's own `end_card.html` (wordmark + trust icons + CTA) → an ffmpeg static-dwell mp4. Deterministic; the end-card text is the brand's real HTML, never AI-rendered. ## Run build_start_frames.py --config config.json --run-dir <run> # composite flat covers → start frames render_endcard.py --config config.json --run-dir <run> # brand HTML → end-card clip build_master.py --config config.json --run-dir <run> # speed + hard-cut concat + mux → master-final.mp4 Output: 1080x1920, ~14-16s h264 (+ aac music). All FREE, $0. ## Contract - Deterministic + FREE (PIL + Playwright + FFmpeg); no paid calls, no AI-rendered text. - Hard cuts between beats (no dissolves); camera stays locked top-down (a property of the paid beats, preserved here). - Product covers stay pixel-identical through composite + concat; the end card is the brand's own HTML. - The paid steps — flat-cover transform, Veo 3.1 i2v beats, ElevenLabs music — are separate capabilities (create-image-fal, create-video-fal, create-music-elevenlabs); the recipe orchestrates them and gates the spend.

Frequently asked questions