Music
tadaspetra/loop
Generate music using ElevenLabs Music API. An agent skill from tadaspetra/loop.
Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a…
Install Render Food Product Sizzle
$ npx skills add gooseworks-ai/goose-skills --skill render-food-product-sizzle -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-food-product-sizzle --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-food-product-sizzle .claude/skills/render-food-product-sizzle && 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-food-product-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle into .claude/skills/render-food-product-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-food-product-sizzle", 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-food-product-sizzleType 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-food-product-sizzle -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-food-product-sizzle --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-food-product-sizzle .agents/skills/render-food-product-sizzle && 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-food-product-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle into .agents/skills/render-food-product-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-food-product-sizzle", 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-food-product-sizzle -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-food-product-sizzle --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-food-product-sizzle .cursor/skills/render-food-product-sizzle && 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-food-product-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle into .cursor/skills/render-food-product-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-food-product-sizzle", 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-food-product-sizzle--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-food-product-sizzle -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-food-product-sizzle --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-food-product-sizzle .gemini/skills/render-food-product-sizzle && 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-food-product-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle into .gemini/skills/render-food-product-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-food-product-sizzle", 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-food-product-sizzleInstalls 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-food-product-sizzle -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-food-product-sizzle .github/skills/render-food-product-sizzle && 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-food-product-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle into .github/skills/render-food-product-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-food-product-sizzle", 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-food-product-sizzle -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-food-product-sizzle --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-food-product-sizzle .opencode/skills/render-food-product-sizzle && 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-food-product-sizzle" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle into .opencode/skills/render-food-product-sizzle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-food-product-sizzle", 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-food-product-sizzle- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 677 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a…
- The food-product-sizzle format
- SKILL.md covers Choices, Run and Contract (the free assembly)
- Tasks that involve Text to speech and voice
What it does
Render Food Product Sizzle is an agent skill from gooseworks-ai/goose-skills. Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a global anti-AI grain pass (eq plus hqdn3d plus noise), composite the audio (a non-diegetic instrumental music bed plus a couple of short diegetic SFX like a snap and a tear placed at measured cue points, loudnorm), composite a STATIC end card entirely in PIL (real logo PNG plus real product PNG plus a serif heritage…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/README.md` and `scripts/config.example.json`).
It sits in Media & Creative, covering Text to speech and voice. It works with ElevenLabs. 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 food-product-sizzle format
- Tasks that involve Text to speech and voice
Example prompts
- “/render-food-product-sizzle”
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/, 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 Food Product Sizzle loads about 1.4k tokens when it runs. Until then it costs about 234 tokens; SKILL.md has 677 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). 677 words, ~1,429 tokens.
Download SKILL.mdSave it as
.claude/skills/render-food-product-sizzle/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- render-food-product-sizzle
- description
- Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a global anti-AI grain pass (eq plus hqdn3d plus noise), composite the audio (a non-diegetic instrumental music bed plus a couple of short diegetic SFX like a snap and a tear placed at measured cue points, loudnorm), composite a STATIC end card entirely in PIL (real logo PNG plus real product PNG plus a serif heritage headline plus a CTA — never AI-rendered text), and burn optional serif stat-callout pills at beats. This is the FREE deterministic assembly stage (normalized concat plus grain plus music and SFX mix plus PIL end card plus callouts); the macro keyframes, i2v clips, and music bed come from create-image-fal, create-video-fal, and create-music-elevenlabs. Use for the food-product-sizzle format.
- status
- active
render-food-product-sizzle
Assemble a food-product sizzle ad from a config: a wordless macro-tabletop photorealistic sizzle for a physical food / CPG product — tactile tabletop photography in ONE look pack (setting + light chosen per brand; the demo's is a warm tungsten kitchen), ~4 dynamic macro scenes (hands tearing, a flat lay, a partial-face bite, a box / pack hero) flowing into a static end card, carried by a non-diegetic instrumental music bed + a few diegetic SFX with NO voiceover. This capability is the FREE, deterministic assembly — normalized concat, the anti-AI grain pass, the audio (music bed + SFX) composite, the PIL end card, and the optional serif stat-callout pills.
scripts/config.example.json is the worked example (Lineage Provisions "Beef Sticks Sizzle", ~14s
1080×1920 9:16, ~4 macro scenes + a static end card); scripts/PIPELINE.md maps every config block
to its source step and scripts/README.md documents the free assembly.
Choices
The recipe asks these before any paid step; this capability only assembles what they produced. The demo's value is an example, never a default:
setting— surface + room →look_pack.style_descriptor,scenes[].keyframe_prompt,end_card.background. Demo: warm rustic kitchen (linen, wood, butcher paper, cast iron).light→look_pack.style_descriptor+palette_anchors. Demo: warm tungsten window light.hands— whose hands / mouth appear, or product-only →scenes[].keyframe_prompt+motion_hint. Demo: a man's weathered hands, stubbled jaw.music→music.prompt. Demo: upbeat bluegrass (banjo, acoustic guitar, brush percussion).
Run
This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are separate
capabilities: ~4 photographic macro keyframes (create-image-fal, Nano Banana; the box / pack hero
grounds on the real product PNG); one locked-off, anti-shake i2v clip per keyframe (create-video-fal,
Seedance); and a non-diegetic instrumental bed in the music choice (create-music-elevenlabs). Given the ~4
clips + the music bed + the diegetic SFX + the real logo PNG + the real product PNG,
render-food-product-sizzle normalizes fps / SAR, concats the body clips, applies the anti-AI grain
pass, composites the audio (bed + SFX at their cue points), composites the static PIL end card, burns
the optional serif callout pills, and muxes → the master. Re-cuts reuse the existing keyframes /
clips / music and cost $0.
Show full SKILL.md (344 more words)Show less
Contract (the free assembly)
- Wordless — the music bed is the audio, no VO. A non-diegetic instrumental bed (no vocals) IS the bed; do not add a spoken voiceover. The brand name + claim land on the STATIC end card, never in the body.
- ~4 macro scenes, concat in order. Normalize fps / SAR across the body clips and concat them in their scene order (tear → flat-lay → bite → box-hero by default); the box / pack hero shows the REAL label (grounded on the product PNG upstream — the assembly must not re-render it).
- Anti-AI grain pass, applied globally. Apply
eq=contrast=1.06:saturation=0.93,hqdn3d=1.5:1.5:3:3,noise=alls=8:allf=t+uacross the whole video — the noise on a food macro is load-bearing for the tactile / photographic read, otherwise the sizzle looks AI-smooth. - Diegetic SFX on the tactile beats. Mix a crisp ~120ms snap on the fiber tear and a ~180ms tear on the box-open at their measured cue points — a couple of short hits, not a wall of sound. Time each to its beat, not a round number.
- Music bed with no sparse intro. The supplied / generated bed opens sparse — the upstream step trims the ~2.5s intro so it kicks in from frame 0; the assembly loudnorms + fades in / out to the master length.
- Static end card via PIL from the real logo + product PNG — never AI-render brand text. Solid /
ivory bg + the real logo PNG (upper third) + the real product PNG (centered, soft shadow) + a serif
heritage headline + a CTA, held ~3s WITH the music still playing under it (fade the tail — no silent
tail). A diffusion model garbles a wordmark and the packaging. On macOS pick a serif with the
middle-dot glyph (use
·). - Optional serif stat-callout pills at beats. Ivory-or-brand-color pill + serif type at
choreographed windows. Write any
%string to a textfile and use ffmpegdrawtexttextfile=+expansion=none— a raw%is read as a strftime spec and renders garbage. - FFmpeg composite, deterministic, FREE. Concat the body clips, grain-pass, composite the audio
(bed + SFX), append the PIL end card, burn the callouts, mux with a fade tail,
loudnorm→ a 1080×1920 h264+aac master (~14s). No paid calls, no keys.
© 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-food-product-sizzle of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/config.example.json
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render Food Product Sizzle 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 Food Product Sizzle this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Musictadaspetra/loop | 296 | 2 repos | ~827 | Automated safety check: Pass | MIT | |
| Sound Effectstadaspetra/loop | 296 | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Elevenlabs Transcribeqdhenry/Claude-Command-Suite | 1.3k | — | ~1.5k | Automated safety check: Notes | None | |
| Dubbingelevenlabs/skills | 482 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Sagtrpc-group/trpc-agent-go | 1.9k | 15 repos | ~574 | Automated safety check: Pass | Apache-2.0 |
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Questions about Render Food Product Sizzle
What does Render Food Product Sizzle do?
Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a…. Render Food Product Sizzle is an agent skill from gooseworks-ai/goose-skills.
When should I use Render Food Product Sizzle?
Render Food Product Sizzle fits situations like: the food-product-sizzle format; tasks that involve Text to speech and voice.
How do I install Render Food Product Sizzle in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-food-product-sizzle -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-food-product-sizzle in gooseworks-ai/goose-skills) into .claude/skills/render-food-product-sizzle in your project. Claude Code loads it when a task matches its description.
How do I install Render Food Product Sizzle in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-food-product-sizzle -a codex`. Or copy the skill folder (skills/ads/capabilities/render-food-product-sizzle in gooseworks-ai/goose-skills) into .agents/skills/render-food-product-sizzle in your project. Codex loads it when a task matches its description.
Can I use Render Food Product Sizzle 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-food-product-sizzle -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-food-product-sizzle, .gemini/skills/render-food-product-sizzle, .github/skills/render-food-product-sizzle and .opencode/skills/render-food-product-sizzle in your project.
What does Render Food Product Sizzle need to run?
SKILL.md names no scripts, command-line tools or credentials: Render Food Product Sizzle is instructions for the agent only.
Does Render Food Product Sizzle 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 Food Product Sizzle 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 Food Product Sizzle use?
Render Food Product Sizzle 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 Food Product Sizzle use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Food Product Sizzle?
Skills that share tags, products or a category with Render Food Product Sizzle: Music (tadaspetra/loop, 296 stars), Sound Effects (tadaspetra/loop, 296 stars), Elevenlabs Transcribe (qdhenry/Claude-Command-Suite, 1.3k stars) and Dubbing (elevenlabs/skills, 482 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Food Product Sizzle?
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.