Render Search Grid

OrganizationPopular

gooseworks-ai

render-search-grid

Render a 'search-grid' (Pinterest search-moodboard) video from a config — a real-DOM page with four continuous beats (masonry search grid + typing hook with counter-drift columns → 3 cards slide in from the right and stack → the top card box-grows to fullscreen then swipe-left ×2 through captioned feature shots → warm end card), frame-stepped via Chromium and encoded with FFmpeg — deterministic assembly, FREE (real brand photos + logo; the optional music bed comes from create-music-elevenlabs), so type/logo/photos stay pixel-crisp. Use for the search-grid format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-search-grid`
Stars	1.2K
Forks	208
Bundled files	7
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Render Search Grid AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/render-search-grid .claude/skills/render-search-grid

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Search Grid in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render Search Grid on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render Search Grid is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

render-search-grid

Render the 'search-grid' format from a config. It is a deterministic assembler — no generative image/video, no AI-rendered text. Everything on screen is the brand's REAL product/lifestyle photography + logo, so the typed hook, feature captions, wordmark, and photos stay pixel-crisp. The only paid input is an optional music bed, produced upstream by create-music-elevenlabs and passed to render.py --music.

The format (four beats, one continuous ~18s motion piece, 1080×1920)

Search (0–5s) — a 3-column masonry grid of the brand's catalog behind a Pinterest search bar; a believable phrase types in letter-by-letter. Side columns drift DOWN, the middle column drifts UP (counter-parallax).
Cards (5–7s) — 3 room/product cards slide in from the RIGHT and stack over a warm blurred backdrop.
Features (7–14.5s) — the TOP card physically expands (its box grows from the stacked rect to full-screen, animating width/height — NOT transform:scale, which would stretch the image), then swipe-left → swipe-left through the SAME 3 rooms, each now full-bleed with a caption. The 3 cards ARE the 3 features.
End card (14.5–18s) — hero + wordmark + tagline + CTA on a warm background.

Scripts (all free / deterministic)

scripts/build_html.py --config config.json --out index.html — config → a single self-contained HTML page exposing window.seek(tMs) (images base64-embedded).
scripts/capture.js --html index.html --out frames --fps 30 --duration 18000 — headless Chromium frame-steps seek() to a PNG per frame (auto-discovers a cached Playwright chromium, or pass --exe).
scripts/render.py --config config.json [--music bed.m4a] --out master.mp4 — orchestrates build → capture → FFmpeg (muxes the bed with -map 0:v:0 -map 1:a:0 when --music is given; $0 silent pass without it).
scripts/prep_assets.py crop in.jpg out.jpg / logo logo.jpg wordmark.png — the two fixes this format needs almost every time: crop baked-in white L/R margins off heroes, and key the white out of a black-on-white logo JPG to a transparent PNG.

See scripts/config.example.json for the full config shape (a real worked example).

Config contract (bound by the recipe/orchestrator at remix time)

canvas, hook, grid_cols (3 columns × 6 distinct tiles), rooms (exactly 3 {image, caption} — the cards AND the features), stack_bg (blurred warm backdrop), endcard (hero, wordmark, tagline, cta, bg). Craft rules the renderer assumes the inputs already honor: real brand assets only; 6 distinct tiles/column so the drift never repeats; warm (never near-white) backdrops; cropped hero margins; transparent-bg wordmark; captions/tagline/CTA are the brand's OWN approved copy (no invented claims).

Prereqs

node + playwright-core (or a cached Playwright chromium) and ffmpeg on PATH; python3 with Pillow (for prep_assets.py).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render Search Grid AI skill do?

Why use Render Search Grid on TypingMind?

Because you install it once and use it with any model. Render Search Grid is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render Search Grid in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render Search Grid?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render Search Grid?

As many as you like. As long as a model supports skills, you can use Render Search Grid with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render Search Grid AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

render-search-grid

The format (four beats, one continuous ~18s motion piece, 1080×1920)

Scripts (all free / deterministic)

Config contract (bound by the recipe/orchestrator at remix time)

Prereqs

Bundled files

Frequently asked questions

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