Video Production
speechlab0210/video-production-skill
AI educational video production pipeline. An agent skill from speechlab0210/video-production-skill.
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…
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-search-grid --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-search-grid .claude/skills/render-search-grid && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "render-search-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid into .claude/skills/render-search-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-search-grid", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-gridType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-search-grid --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/render-search-grid .agents/skills/render-search-grid && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "render-search-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid into .agents/skills/render-search-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-search-grid", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-search-grid --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/render-search-grid .cursor/skills/render-search-grid && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "render-search-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid into .cursor/skills/render-search-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-search-grid", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-search-grid--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-search-grid --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/render-search-grid .gemini/skills/render-search-grid && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "render-search-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid into .gemini/skills/render-search-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-search-grid", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills render-search-gridInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/render-search-grid .github/skills/render-search-grid && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "render-search-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid into .github/skills/render-search-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-search-grid", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill render-search-grid -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills render-search-grid --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/render-search-grid .opencode/skills/render-search-grid && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "render-search-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-search-grid into .opencode/skills/render-search-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-search-grid", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
render-search-gridRender 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. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 522 words, ~1,142 tokens.
.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.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.
stack_bg + stack_tint).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.endcard.bg.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).
These look values are the caller's creative choices (the video-format recipe asks the user):
endcard.bg, stack_bg, stack_tint. The demo used a warm beige
radial gradient (#ecdfce → #d9c6ac) and a warm brown tint.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.
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).
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
SKILL.md and 7 other files (scripts) in skills/ads/capabilities/render-search-grid of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Render Search Grid this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Academic Presentation MakerOpenLAIR/dr-claw | 1.2k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Explain Videolimin112/min-skill | 454 | — | ~2.4k | Automated safety check: Pass | None | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| Hearyourvoicekillernay/HearYourVOICE | 140 | — | ~10k | Automated safety check: Notes | MIT |
speechlab0210/video-production-skill
AI educational video production pipeline. An agent skill from speechlab0210/video-production-skill.
OpenLAIR/dr-claw
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.
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…
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
killernay/HearYourVOICE
The repeatable workflow for short Thai documentary/explainer videos — one topic in, one finished MP4 out.
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.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
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.
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.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
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…
Works with
Categories
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.
Render Search Grid fits situations like: the search-grid format; tasks that involve Video production; tasks that involve Text to speech and voice.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.