Render Podcast Skit

OrganizationPopular

gooseworks-ai

render-podcast-skit

Assemble a two-host fake-podcast skit ad from a config — per-line lipsync clips hard-concatenated in script order, scaled/padded to 1080×1920, WHITE bottom-center captions (up to 5 words per cue, broken on sentence punctuation, word-wrapped to stay in-frame, held at least 0.9s) built from each line's OWN ElevenLabs char-level timestamps (offset by cumulative clip start, never Whisper), and closed on a Playwright/PIL brand end card composited from the real wordmark — never AI-rendered text. This is the FREE deterministic assembly stage (concat + white captions + end card + crf28 encode); the per-line VOs, photoreal gpt-image-2 base stills, expression variants, and lipsync clips come from create-vo-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the podcast-skit format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-podcast-skit`
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 Podcast Skit 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-podcast-skit

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-podcast-skit .claude/skills/render-podcast-skit

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

Use it in TypingMind

Enable Render Podcast Skit 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 Podcast Skit 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 Podcast Skit 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-podcast-skit

Assemble a two-host fake-podcast skit ad from a config: a skeptic and a believer at an absurd themed podcast desk do a snappy back-and-forth about the product (the set is deliberately unrelated — that is the joke). Each line is its own lipsync clip so the edit can cut on the dialogue beat (~1.8s avg); this capability is the FREE, deterministic assembly that concatenates those clips, renders the WHITE captions, and appends the brand end card.

scripts/config.example.json is the worked example (Ladder run-02 "Laundromat 2am", ~49s 1080×1920 9:16, ~22 lines); 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. The paid inputs are separate capabilities: one ElevenLabs with-timestamps VO per line (one voice per host) via create-vo-elevenlabs; two photoreal base stills at the themed desk plus ~10 expression variants (mouths NEUTRAL/CLOSED, gpt-image-2 quality=high, not nano-banana) via create-image-gpt-image-fal; and one lipsync clip per (still, VO) pair via create-video-fal. Given the per-line clips + their VO timestamps + the brand wordmark SVG, render-podcast-skit walks the scenes in script order, builds the global caption timeline, renders the WHITE captions, hard-concats the clips, auto-appends the end card, and final-encodes crf28 → the master. Re-cuts reuse the existing VOs / stills / clips and cost $0.

Contract (the free assembly)

Dialogue-carried, no music bed by default. The per-line VO is the audio; a podcast skit needs no music (an optional low ambience is a taste call, off by default).
One line = one scene = one hard cut, in script order. Hard-concat the per-line clips in order (scale/pad to 1080×1920, re-encode) — no dissolves.
Captions from the VO's OWN char-level timestamps, not Whisper (script-window). Build a global words.json by offsetting each line's char-level word timings by the cumulative clip start, group into ≤5-word cues broken on sentence-final punctuation, and render WHITE #FFFFFF bottom-center captions (black outline), word-wrapped to stay in-frame and held ≥0.9s — PIL PNG overlays when the host ffmpeg lacks libass (common), else ASS. (Yellow 3-word karaoke was the old style, rejected in testing.) Whisper on the rendered clips mistimes; the VO timestamps are ground truth.
End card via Playwright/PIL from the real wordmark — never AI-render brand text. The lockup is a deterministic HTML → PNG → 2.5s mp4 from the brand's real wordmark SVG (black bg, brand wordmark, CTA pill, URL), auto-appended after the last line. A diffusion model garbles a wordmark.
FFmpeg composite, deterministic, FREE. Concat the clips, overlay the WHITE caption PNGs (or burn ASS via libass), append the end-card mp4, and final-encode -preset slow -crf 28 + aac 96k → a 1080×1920 h264+aac master (~6MB for ~28s; the old -crf 20 produced ~16MB). No paid calls, 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 Podcast Skit AI skill do?

Why use Render Podcast Skit on TypingMind?

Because you install it once and use it with any model. Render Podcast Skit 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 Podcast Skit 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-podcast-skit. 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 Podcast Skit?

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 Podcast Skit?

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

Is the Render Podcast Skit 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-podcast-skit

Run

Contract (the free assembly)

Bundled files

Frequently asked questions

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