Whiteboard Video
trustfuture/simon-skills
手绘白板风"边画边讲"讲解视频出片 skill（Excalidraw 风格逐笔动画 + 火山引擎配音 + 烧录字幕 + 品牌水印与片尾卡 + 横竖两张封面 + 各平台发布文案）。当用户说"做一期白板视频 / 边画边讲 / 手绘讲解视频 / 用 excalidraw 做视频 / whiteboard video"，或要在本仓库里新建一期、改场景、换贴纸或真实…
Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small…
Install Render Model Comparison Grid
$ npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-model-comparison-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-model-comparison-grid .claude/skills/render-model-comparison-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-model-comparison-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-model-comparison-grid into .claude/skills/render-model-comparison-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-model-comparison-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-model-comparison-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-model-comparison-grid -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-model-comparison-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-model-comparison-grid .agents/skills/render-model-comparison-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-model-comparison-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-model-comparison-grid into .agents/skills/render-model-comparison-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-model-comparison-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-model-comparison-grid -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-model-comparison-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-model-comparison-grid .cursor/skills/render-model-comparison-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-model-comparison-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-model-comparison-grid into .cursor/skills/render-model-comparison-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-model-comparison-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-model-comparison-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-model-comparison-grid -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-model-comparison-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-model-comparison-grid .gemini/skills/render-model-comparison-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-model-comparison-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-model-comparison-grid into .gemini/skills/render-model-comparison-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-model-comparison-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-model-comparison-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-model-comparison-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-model-comparison-grid .github/skills/render-model-comparison-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-model-comparison-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-model-comparison-grid into .github/skills/render-model-comparison-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-model-comparison-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-model-comparison-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-model-comparison-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-model-comparison-grid .opencode/skills/render-model-comparison-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-model-comparison-grid" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-model-comparison-grid into .opencode/skills/render-model-comparison-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-model-comparison-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.
Facts
- Skill name
render-model-comparison-grid- GitHub stars
- 1.2k
- Token cost
- ~930 tokens
- SKILL.md length
- 397 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small…
- The model-comparison-grid format
- SKILL.md covers Run and Contract
- Runs Python scripts from its folder
- Tasks that involve Video production
What it does
Render Model Comparison Grid is an agent skill from gooseworks-ai/goose-skills. Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small top strip, then a labeled 2-4 panel grid (static images OR muted video clips, mixable per cell) staggers in and holds for comparison, plus a minimal end card — frame-stepped via Playwright (video cells are frame-seeked deterministically) and encoded with FFmpeg. Deterministic assembly, FREE (cell media comes from…
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/build_composition.py`, `scripts/config.example.json` and `scripts/render_seekable_hyperframe.py`).
It sits in Media & Creative, covering Video production, Text to speech and voice and Browser testing. It works with ElevenLabs, FFmpeg and Playwright. 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 model-comparison-grid format
- Tasks that involve Video production
- Tasks that involve Text to speech and voice
Example prompts
- “model comparison grid”
- “same prompt, N contenders”
- “/render-model-comparison-grid”
Requirements
- Python 3
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 3 files in scripts/ (Python), 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 Model Comparison Grid loads about 930 tokens when it runs. Until then it costs about 170 tokens; SKILL.md has 397 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.
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). 397 words, ~930 tokens.
Download SKILL.mdSave it as
.claude/skills/render-model-comparison-grid/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- render-model-comparison-grid
- description
- Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small top strip, then a labeled 2-4 panel grid (static images OR muted video clips, mixable per cell) staggers in and holds for comparison, plus a minimal end card — frame-stepped via Playwright (video cells are frame-seeked deterministically) and encoded with FFmpeg. Deterministic assembly, FREE (cell media comes from create-image-fal / create-video-fal, music from create-music-elevenlabs), text stays pixel-crisp. Use for the model-comparison-grid format.
- status
- active
render-model-comparison-grid
Render the 'model comparison grid' format from a config. The signature of this format is a
"Same prompt. N models." gauntlet: a dark stage where, per beat, a PROMPT eyebrow +
the (condensed) prompt fades in centered in monospace and holds readable ~0.8s, then
docks to a small top strip while a grid of 2-4 labeled panels staggers in (0.15s apart)
and holds for side-by-side comparison. A persistent model/variant label sits under each
panel; column order is identical on every beat. Ends on a minimal end card (headline +
column names only — no meta-stats line).
The grid is media-agnostic per cell: any cell is a static image or a muted video clip (i2v outputs, screen recordings), mixable within one beat. Video cells loop during the hold and are frame-seeked deterministically (the renderer awaits each seek), so the render never depends on wall-clock playback timing.
The renderer itself is FREE/deterministic (Playwright frame-step + FFmpeg). The paid inputs
are separate capabilities: the cell images come from create-image-fal, the cell
clips from create-video-fal, and the music bed from create-music-elevenlabs.
Prompt text and labels are real DOM — never AI-rendered.
Default shape: 5 beats × 4.5s + 2.5s end card = 25.0s @ 1280×720/30fps, all configurable
from one config.json.
Show full SKILL.md (199 more words)Show less
Run
build_composition.py --config config.json --output hyperframe.html ; render_seekable_hyperframe.py hyperframe.html master-silent.mp4 <duration> --fps 30 --width 1280 --height 720 — dark stage, staggered grid, deterministic, $0. The config schema is documented at the top of scripts/build_composition.py; scripts/config.example.json IS the shipped worked example (re-point the cell paths at your own media; its contenders, beat axes, prompts, end-card copy and music prompt are the demo's — the recipe's user choices supply yours, never copy them as defaults).
build_composition.py validates every cell path and the column count (2-4), infers each
cell's media type from its extension (.png/.jpg/.jpeg/.webp → image; .mp4/.mov/.webm/.m4v
→ muted video), and emits a self-contained HTML that exposes window.mediaReady() +
window.renderAt(t). render_seekable_hyperframe.py awaits both, so <video> cells seek
to the right frame before each screenshot — never a frozen first frame.
Contract
- Deterministic + FREE (Playwright frame-step + FFmpeg); no paid calls in this capability.
- Columns = panels-per-beat (2-4); every beat supplies exactly that many cells, same order.
- The template recipe (DB) supplies the config; cell images/clips + music are separate capabilities.
- State is computed entirely in
renderAt(t)— never CSSanimation-delay/transitions (Playwright scrubbing traps delayed animations in pre-state). - Video cells must decode in the render Chromium (H.264 yes, ProRes no — transcode
.movProRes to H.264 first). An images-only grid has no decode dependency.
© 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 5 other files (scripts) in skills/ads/capabilities/render-model-comparison-grid of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/build_composition.py
- scripts/config.example.json
- scripts/render_seekable_hyperframe.py
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render Model Comparison 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 Model Comparison Grid this skillgooseworks-ai/goose-skills | 1.2k | — | ~930 | Automated safety check: Pass | MIT | |
| Whiteboard Videotrustfuture/simon-skills | 382 | — | ~1.8k | Automated safety check: Notes | MIT | |
| Motion Adfabricioctelles/skills | 106 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Whiteboard Video Factorywwwzhouhui/skills_collection | 283 | — | ~4.9k | Automated safety check: Notes | None | |
| Explain Videolimin112/min-skill | 454 | — | ~2.4k | Automated safety check: Pass | None | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT |
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Related
Works with
Categories
Questions about Render Model Comparison Grid
What does Render Model Comparison Grid do?
Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small…. Render Model Comparison Grid is an agent skill from gooseworks-ai/goose-skills. Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small top strip, then a labeled 2-4 panel grid (static images OR muted video clips, mixable per cell) staggers in and holds for comparison, plus a minimal end card — frame-stepped via Playwright (video cells are frame-seeked deterministically) and encoded with FFmpeg.
When should I use Render Model Comparison Grid?
Render Model Comparison Grid fits situations like: the model-comparison-grid format; tasks that involve Video production; tasks that involve Text to speech and voice.
How do I install Render Model Comparison Grid in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-model-comparison-grid in gooseworks-ai/goose-skills) into .claude/skills/render-model-comparison-grid in your project. Claude Code loads it when a task matches its description.
How do I install Render Model Comparison Grid in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-model-comparison-grid -a codex`. Or copy the skill folder (skills/ads/capabilities/render-model-comparison-grid in gooseworks-ai/goose-skills) into .agents/skills/render-model-comparison-grid in your project. Codex loads it when a task matches its description.
Can I use Render Model Comparison 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-model-comparison-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-model-comparison-grid, .gemini/skills/render-model-comparison-grid, .github/skills/render-model-comparison-grid and .opencode/skills/render-model-comparison-grid in your project.
What does Render Model Comparison Grid need to run?
Going by SKILL.md and its folder, Render Model Comparison Grid needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Render Model Comparison 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 Model Comparison 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 Model Comparison Grid use?
Render Model Comparison 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 Model Comparison Grid use?
About 930 tokens (SKILL.md is roughly 3.7k 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 Model Comparison Grid?
Skills that share tags, products or a category with Render Model Comparison Grid: Whiteboard Video (trustfuture/simon-skills, 382 stars), Motion Ad (fabricioctelles/skills, 106 stars), Whiteboard Video Factory (wwwzhouhui/skills_collection, 283 stars) and Explain Video (limin112/min-skill, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Model Comparison 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.