Render Creator Pip Listicle

OrganizationPopular

gooseworks-ai

render-creator-pip-listicle

Assemble a creator picture-in-picture product-listicle ad from a config — the creator stays FULL-FRAME the whole beat (voice plus lips generated together per beat, no separate VO, no cut to a full-frame product shot), and on each product beat three persistent overlays ride on top for the WHOLE beat — a title pill top-center, the DEMO in a rounded PiP window top-right (the brand's real UGC clip MUTED, or for a no-UGC brand the product's own autocropped UI still / screen-recording sized to fill the window), and a bottom product card (rounded thumbnail plus 'N · CATEGORY' small-caps plus product NAME in a serif face). Hook plus CTA beats are the creator full-frame with the title pill only. Assembly builds ONE full-1080x1920 transparent overlay PNG per beat, overlays it on the creator clip (cover-scaled to 1080x1920) for the whole beat keeping the native audio, concats all beats, then burns captions LAST as timed PIL PNG overlays (this ffmpeg has no libass) timed deterministically from the known per-beat script. This is the FREE deterministic assembly stage (overlay-PNG build plus cover-scale composite plus concat plus PIL-PNG caption burn); the creator anchor and the N native talking clips come from create-image-fal (Seedream v5 Pro) and create-video-fal (Seedance 2.0). Use for the creator-pip-listicle format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-creator-pip-listicle`
Stars	1.2K
Forks	208
Bundled files	4
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.
4 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 Creator Pip Listicle 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-creator-pip-listicle

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-creator-pip-listicle .claude/skills/render-creator-pip-listicle

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

Use it in TypingMind

Enable Render Creator Pip Listicle 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 Creator Pip Listicle 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 Creator Pip Listicle 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-creator-pip-listicle

Assemble a creator picture-in-picture product listicle ad from a config: an AI creator counts down N products in the brand's own voice, and the creator stays FULL-FRAME the whole time — there is NO cut to a full-frame product shot, ever. On each product beat, three persistent overlays ride on top of the full-frame creator for the WHOLE beat: (1) a title pill top-center (persistent, it carries the listicle title), (2) the DEMO in a rounded PiP window top-right — the brand's real UGC clip (MUTED), or for a no-UGC brand the product's own demo (a real screen-recording, or an autocropped high-res product-UI/dashboard still sized to fill the window), and (3) a product card pinned bottom (rounded thumbnail left + "N · CATEGORY" small-caps + product NAME in a serif face like Georgia). Hook + CTA beats are the creator full-frame with the title pill only (no PiP/card). The creator's voice + lips are generated together, natively per beat — there is no separate voiceover. This capability is the FREE, deterministic assembly — build the per-beat overlay PNG, cover-scale the creator clip + composite the overlay, concat all beats, and burn the captions.

scripts/config.example.json is the worked example (DIBS Beauty "5 products that replaced my whole makeup bag", ~46s 1080×1920 9:16, a hook + 5 product beats + a CTA); scripts/PIPELINE.md maps every config block to its source step and scripts/README.md documents the free assembly.

Run

This is the FREE, deterministic assembly stage — it spends nothing beyond the caption burn. The paid inputs are separate capabilities — the creator anchor (create-image-fal, Seedream v5 Pro, model bytedance/seedream/v5/pro/text-to-image with no fal-ai/ prefix) and one native Seedance talking clip per beat (create-video-fal, model bytedance/seedance-2.0/reference-to-video, generate_audio=ON, the SAME seed across beats so the face holds, 720p default). Given those native clips + the brand's real UGC demo clips (or the product's own autocropped UI stills / screen recordings) + the real product photos + the brand palette + the title copy, render-creator-pip-listicle builds ONE full-1080×1920 transparent overlay PNG per beat (title pill always; + demo PiP top-right + bottom product card + rank number on product beats), cover-scales the creator clip to 1080×1920 and overlays the beat's overlay PNG for the whole beat while keeping the native audio, concats all beats, and burns the captions last → the master. Re-cuts reuse the existing native clips + overlays and cost $0.

Anchor gotcha (Seedream v5 Pro, not gpt-image-2/Seedream-v4). Seedance 2.0's partner-validation gate REJECTS photoreal faces from gpt-image-2 AND Seedream v4 ("may contain likenesses of real people"); a Seedream v5 Pro face passes. Generate a FRESH anchor with create-image-fal, model bytedance/seedream/v5/pro/text-to-image (no fal-ai/ prefix) — reusing an existing photoreal face from another project also trips the gate.

Clip gotchas (Seedance 2.0). A REJECTED submit STILL bills via the fal-proxy — pre-flight ONE test clip (the hook) and confirm it renders before firing the batch. Presigned anchor URLs expire ~1h → re-host the anchor if a batch runs long (else "Failed to download the file" mid-batch). The intermittent fal "User is locked: Exhausted balance" is the proxy's upstream fal account (not your GooseWorks credits) → retry with backoff.

Contract (the free assembly)

Creator FULL-FRAME the whole beat — NO cut to a full-frame product shot. Every beat is ONE continuous full-frame creator clip; the product content lives in overlays, never in a full-frame cutaway. per_beat_shots = 1.
Native creator audio carries the reel — no separate VO. Each beat's voice + lips come from ONE Seedance take (generate_audio=ON); this stage never adds a VO or a lip-sync pass. The creator clip's native audio plays continuous across the whole beat; the demo PiP's audio is muted (else the voice doubles).
Three persistent overlays on each product beat. For the WHOLE beat, on top of the full-frame creator: (a) the title pill top-center (persistent, title_pill.on=true — carries the listicle title, kept short to fit one line); (b) the DEMO PiP top-right; (c) the product card bottom. Hook + CTA carry the title pill only.
The DEMO PiP is autocropped to FILL its window. It's the brand's REAL UGC clip (MUTED, never AI-regenerated) — OR, for a brand with NO UGC (B2B/SaaS), the product's own demo: a real screen-recording, or an AUTOCROPPED high-res product-UI/dashboard still. Autocrop the still (trim transparent/near-white margins) and size the PiP window to the cropped content's aspect ratio so it fills the window — no letterbox whitespace; a WIDE screenshot → a SHORT + WIDE window, a tall/square one → a taller window. Rounded window, white hairline border, soft drop shadow, top-right. Disclose in the review when the demo is a still/mockup rather than a real UGC clip.
Products are REAL photos — never AI-render the product. The bottom product card (rounded thumbnail + "N · CATEGORY" small-caps + product NAME in a serif face like Georgia) comes from the brand's real product photo / UI thumbnail; a product with no clean photo falls back to a brand-color tile with the wordmark, never an AI product render.
Persistent title pill, rank number on the card. The title pill is persistent top-center (this format's identity, on by default). A counting rank number (1..N) is rendered on the product card on product beats.
Captions burned LAST as PIL PNG overlays, brand-accent, deterministic. This ffmpeg has no libass → render each ~2-word cue as a timed PIL PNG overlay (overlay=…:enable='between(t,s,e)'): white words + a brand-accent underline, black stroke for legibility, positioned CLEAR of the PiP (top) and the card (bottom) (mid-to-lower band). Time them DETERMINISTICALLY from the known per-beat script — the fal-ai/whisper proxy is unreliable (900s timeouts); do NOT depend on it. The known script is the brand-correct source, so brand tokens are always spelled right.
FFmpeg composite, deterministic, FREE. Per beat: build ONE full-1080×1920 transparent overlay PNG (title pill; + PiP + card + rank number on product beats), cover-scale the creator clip to 1080×1920, overlay the PNG for the whole beat, keep the native audio. Concat all beats with the concat demuxer @ 30fps / yuv420p → a 1080×1920 h264+aac master, then burn captions last. Probe durations with ffprobe -of csv=p=0 (NOT -of default=nk=1:np=1, which errors on some builds). No paid calls in the composite/stitch, no keys.

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 Creator Pip Listicle AI skill do?

Why use Render Creator Pip Listicle on TypingMind?

Because you install it once and use it with any model. Render Creator Pip Listicle 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 Creator Pip Listicle 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-creator-pip-listicle. 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 Creator Pip Listicle?

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 Creator Pip Listicle?

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

Is the Render Creator Pip Listicle 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-creator-pip-listicle

Run

Contract (the free assembly)

Bundled files

Frequently asked questions

Related AI Skills

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