Agent skill

Render Search Grid

by gooseworks-ai in gooseworks-ai/goose-skills

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…

MITAuto-check passedMedia & Creative

Install Render Search Grid

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills render-search-grid --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-search-grid .claude/skills/render-search-grid && rm -rf skills-src

Use ~/.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/

Facts

Skill name
render-search-grid
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
522 words
Files
8 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 4 steps: Search (0–5s) — a 3-column masonry grid… → Cards (5–7s) — 3 room/product cards… → Features (7–14.5s) — the TOP card… → …
  • The search-grid format
  • SKILL.md covers The format (four beats, one…, Scripts (all free /…, Choices and Config contract (bound by the…, plus 1 more section
  • Runs Python and JavaScript scripts from its folder

What it does

Render Search Grid is an agent skill from gooseworks-ai/goose-skills. 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 → 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…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts (for example `scripts/build_html.py`, `scripts/capture.js` and `scripts/config.example.json`).

It sits in Media & Creative, covering Video production, Text to speech and voice and Slides and decks. It works with ElevenLabs, FFmpeg and Pinterest. 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 search-grid format
  • Tasks that involve Video production
  • Tasks that involve Text to speech and voice

Example prompts

  • “search-grid”
  • “/render-search-grid”

Requirements

  • Python 3
  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Search (0–5s) — a 3-column masonry grid of the brand's catalog behind a Pinterest
  2. Cards (5–7s) — 3 room/product cards slide in from the RIGHT and stack over a
  3. Features (7–14.5s) — the TOP card physically expands (its box grows from the
  4. End card (14.5–18s) — hero + wordmark + tagline + CTA on endcard.bg.

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 5 files in scripts/ (Python and JavaScript), which the agent can run.

    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 Search Grid loads about 1.1k tokens when it runs. Until then it costs about 146 tokens; SKILL.md has 522 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~146
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 522 words, ~1,142 tokens.

Download SKILL.mdSave it as .claude/skills/render-search-grid/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
render-search-grid
description
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 → 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.
status
active

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)

  1. 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).
  2. Cards (5–7s) — 3 room/product cards slide in from the RIGHT and stack over a blurred backdrop (stack_bg + stack_tint).
  3. 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.
  4. End card (14.5–18s) — hero + wordmark + tagline + CTA on endcard.bg.

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 — the Ruggable build; its warm beige backdrop, red caret and lo-fi music prompt are that demo's picks, never defaults).

Show full SKILL.md (206 more words)Show less

Choices

These look values are the caller's creative choices (the video-format recipe asks the user):

  • Backdrop mood → endcard.bg, stack_bg, stack_tint. The demo used a warm beige radial gradient (#ecdfce → #d9c6ac) and a warm brown tint.
  • Music → the prompt for the optional bed (made upstream by create-music-elevenlabs). The demo used warm nylon acoustic guitar + Rhodes, relaxed lo-fi.
  • caret_color is the brand's accent colour (brand kit), not a choice.

When caret_color, endcard.bg or stack_tint is missing or still an unfilled <input:…> / <brand:…> placeholder, build_html.py uses a NEUTRAL value and prints a WARNING; an unfilled text/path field (hook, rooms, endcard.hero, …) is an error.

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 backdrop photo), optional stack_tint (CSS background over it), 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; intentional (never near-white) backdrops in the mood the caller picked; 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).

© 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 7 other files (scripts) in skills/ads/capabilities/render-search-grid of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/build_html.py
  • scripts/capture.js
  • scripts/config.example.json
  • scripts/prep_assets.py
  • scripts/render.py
  • skill.meta.json
  • tests/smoke-test.md

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Render Search Grid 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.

Render Search Grid compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Render Search Grid this skillgooseworks-ai/goose-skills1.2k—~1.1kAutomated safety check: PassMIT
Video Productionspeechlab0210/video-production-skill105—~4.1kAutomated safety check: NotesMIT
Academic Presentation MakerOpenLAIR/dr-claw1.2k—~1.5kAutomated safety check: PassCustom licence
Explain Videolimin112/min-skill454—~2.4kAutomated safety check: PassNone
Super Video MakerBomx/super-video-maker-skill310—~11kAutomated safety check: NotesNone
Hearyourvoicekillernay/HearYourVOICE140—~10kAutomated safety check: NotesMIT

Similar skills

  • Video Production

    speechlab0210/video-production-skill

    AI educational video production pipeline. An agent skill from speechlab0210/video-production-skill.

    105 GitHub stars~4.1k tokensUpdated 3 mo ago
    Media & CreativeAuto-check: notes
  • Turns a research paper into a slide deck and, optionally, a narrated demo video, through script, slide generation, text-to-speech and video assembly stages you control.

    1.2k GitHub stars~1.5k tokensUpdated 23 days ago
    Documents & OfficeAuto-check passed
  • Explain Video

    limin112/min-skill

    Build a narrated explainer video from a concept — discussion → structure → HTML slide deck → narration script → TTS voice → subtitles → background music → Playwright screen recording → ffmpeg…

    454 GitHub stars~2.4k tokensUpdated 2 days ago
    Media & CreativeAuto-check passed
  • Super Video Maker

    Bomx/super-video-maker-skill

    End-to-end AI video production skill for agentic frameworks.

    310 GitHub stars~11k tokensUpdated 2 mo ago
    Media & CreativeAuto-check: notes
  • Hearyourvoice

    killernay/HearYourVOICE

    The repeatable workflow for short Thai documentary/explainer videos — one topic in, one finished MP4 out.

    140 GitHub stars~10k tokensUpdated 2 mo ago
    Media & CreativeAuto-check: notes
  • TSX Vertical Shorts Builder

    hassancs91/claude-faceless-shorts-creator

    Builds a roughly 40-second vertical short end to end from a topic, scripting beats, rendering TSX compositions and layering voice and captions.

    271 GitHub stars~1.9k tokensUpdated 1 mo ago
    Media & CreativeAuto-check: notes

More from gooseworks-ai/goose-skills

All 273 skills in this repo
  • Reddit Post Finder

    gooseworks-ai/goose-skills

    Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.

    1.2k GitHub starsUsed in 1 repo~1.2k tokens
    Auto-check passed
  • Create Image Fal

    gooseworks-ai/goose-skills

    Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.

    1.2k GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Render Hook Replacement

    gooseworks-ai/goose-skills

    Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Blog Feed Monitor

    gooseworks-ai/goose-skills

    Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.

    1.2k GitHub starsUsed in 1 repo~578 tokens
    Auto-check passed
  • Competitor Post Engagers

    gooseworks-ai/goose-skills

    Find leads by scraping engagers from a competitor's top LinkedIn posts.

    1.2k GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check: notes
  • Render Chatgpt Chat

    gooseworks-ai/goose-skills

    Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Questions about Render Search Grid

What does Render Search Grid do?

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…. Render Search Grid is an agent skill from gooseworks-ai/goose-skills.

When should I use Render Search Grid?

Render Search Grid fits situations like: the search-grid format; tasks that involve Video production; tasks that involve Text to speech and voice.

How do I install Render Search Grid in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-search-grid in gooseworks-ai/goose-skills) into .claude/skills/render-search-grid in your project. Claude Code loads it when a task matches its description.

How do I install Render Search Grid in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a codex`. Or copy the skill folder (skills/ads/capabilities/render-search-grid in gooseworks-ai/goose-skills) into .agents/skills/render-search-grid in your project. Codex loads it when a task matches its description.

Can I use Render Search Grid 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-search-grid -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-search-grid, .gemini/skills/render-search-grid, .github/skills/render-search-grid and .opencode/skills/render-search-grid in your project.

What does Render Search Grid need to run?

Going by SKILL.md and its folder, Render Search Grid needs Python and JavaScript for the scripts in its folder. Our summary lists: Python 3; Node.js.

Does Render Search Grid 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 Search Grid 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 Search Grid use?

Render Search Grid 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 Search Grid use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Search Grid?

Skills that share tags, products or a category with Render Search Grid: Video Production (speechlab0210/video-production-skill, 105 stars), Academic Presentation Maker (OpenLAIR/dr-claw, 1.2k stars), Explain Video (limin112/min-skill, 454 stars) and Super Video Maker (Bomx/super-video-maker-skill, 310 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Render Search Grid?

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.