Agent skill

Render Podcast Skit

by gooseworks-ai in gooseworks-ai/goose-skills

Render a two-host podcast ad from a brand config and dialogue script.

MITAuto-check passedMedia & Creative

Install Render Podcast Skit

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill render-podcast-skit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills render-podcast-skit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-podcast-skit .claude/skills/render-podcast-skit && rm -rf skills-src

Use ~/.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/

Facts

Skill name
render-podcast-skit
GitHub stars
1.2k
Token cost
~853 tokens
SKILL.md length
432 words
Files
30 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Render a two-host podcast ad from a brand config and dialogue script.

  • Works in 6 steps: Copy the examples into the brand project… → Use the bundled driver for a free… → Generate each approved voiceover beat… → …
  • Short conversational ads with two stable hosts in one room
  • SKILL.md covers Inputs and prerequisites, Workflow, Non-negotiables and Related
  • Runs Python scripts from its folder

What it does

Render Podcast Skit is an agent skill from gooseworks-ai/goose-skills. Render a two-host podcast ad from a brand config and dialogue script. Includes the working planner, full-frame and split-screen assembly, captions from measured character timings, brand end card, approved paid-step adapters, and 65 quality-check falsification cases. Use for short conversational ads with two stable hosts in one room.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including scripts (for example `recipe.json`, `scripts/PIPELINE.md` and `scripts/README.md`).

It sits in Media & Creative. 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

  • Short conversational ads with two stable hosts in one room

Example prompts

  • “/render-podcast-skit”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Copy the examples into the brand project and replace their fictional
  2. Use the bundled driver for a free preview. Review the script, caption
  3. Generate each approved voiceover beat with character timings. Measure the
  4. Lock one wide two-host plate and crop both singles from it. Review the
  5. Generate each beat's lip-sync with its own audio. Split edits also require
  6. Assemble and check the finished render, then watch it end to end. Run the

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 18 files in scripts/ (Python, from the files we listed), 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 Podcast Skit loads about 853 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 432 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~853

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). 432 words, ~853 tokens.

Download SKILL.mdSave it as .claude/skills/render-podcast-skit/SKILL.md (or your agent's skills folder). This skill also uses 29 other files; get the full folder from GitHub.
name
render-podcast-skit
description
Render a two-host podcast ad from a brand config and dialogue script. Includes the working planner, full-frame and split-screen assembly, captions from measured character timings, brand end card, approved paid-step adapters, and 65 quality-check falsification cases. Use for short conversational ads with two stable hosts in one room.
owner
team
status
active
version
2.0.0
updated
2026-10-05

Human version

This package contains the working two-host podcast pipeline, examples and quality checks. It plans and renders the edit for free. Voice, image and lip-sync generation use the separately installed provider capabilities.


Agent version

Inputs and prerequisites

Read the bundled scripts README first. All relative paths in that guide refer to this installed skill folder. Keep the brand config, dialogue script and outputs in the brand project outside the package. Never edit the examples in place. Install the required sibling capabilities and prepare Python, Pillow, requests, ffmpeg, ffprobe, a caption font and the real brand wordmark or font.

Choose the conversation's tone, room, host dynamic and host appearances with the user. Write fresh dialogue for the brand and respect its claim guardrails. Choose an arc from the bundled menu and actually write that turn structure. Match each confirmed voice to its host before generation; save the voice's name and gender with its ID. The voice picker accepts an exported library so it can propose matches without reading account credentials.

Workflow

  1. Copy the examples into the brand project and replace their fictional product, cast and dialogue. Supply the brand assets, or disable optional supplied-asset layers until those files exist.
  2. Use the bundled driver for a free preview. Review the script, caption layout, cut pace and full-frame or split choice before generation.
  3. Generate each approved voiceover beat with character timings. Measure the audio and re-plan the timeline before lip-sync. Timing files must share the audio's stem; guessed caption times are unsuitable for delivery.
  4. Lock one wide two-host plate and crop both singles from it. Review the plate before spending on clips. Hold the approved cast through reference edits; independent host generations can drift into different rooms.
  5. Generate each beat's lip-sync with its own audio. Split edits also require a silent idle clip per host, so the listener does not visibly speak.
  6. Assemble and check the finished render, then watch it end to end. Run the bundled self-test to prove the checks reject their known-bad inputs.
Show full SKILL.md (92 more words)Show less

Non-negotiables

Paid commands print cost by default. Both confirmation and execution flags are required after explicit approval. Preserve completed audio and timing responses when resuming. Never re-bill a completed beat to recover a missing local file. Motion inserts are unimplemented and fail explicitly if enabled.

Captions follow the voiceover's own character timings. Brand type comes from real files. Review identity, voice fit, room continuity, lip-sync, caption safety and the brand card on the finished video. A preview or package check alone does not establish final creative quality.

[[composes::create-vo-elevenlabs]], [[composes::create-image-gpt-image-fal]], [[composes::create-video-fal]], [[composes::watch]].

© 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 29 other files (scripts) in skills/ads/capabilities/render-podcast-skit of gooseworks-ai/goose-skills.

  • SKILL.md
  • recipe.json
  • scripts/PIPELINE.md
  • scripts/README.md
  • scripts/arcs.json
  • scripts/build_overlays.py
  • scripts/check_framing_render.py
  • scripts/compose_master.py
  • scripts/config.example.json
  • scripts/config_io.py
  • scripts/cost_model.py
  • scripts/crop_singles.py
  • scripts/gates.py
  • scripts/gen_paid.py
  • scripts/grade_episode.py
  • scripts/make_lockup.py
  • scripts/one_shot.py
  • scripts/pick_voices.py
  • scripts/plan_beats.py
  • scripts/plan_cuts.py
  • … and 10 more

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Render Podcast Skit 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.

Render Podcast Skit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Render Podcast Skit this skillgooseworks-ai/goose-skills1.2k—~853Automated safety check: PassMIT
Guizang Social Cardsop7418/guizang-social-card-skill7.4k1 repos~7.8kAutomated safety check: PassAGPL-3.0
Weekly Changelog Videoheygen-com/hyperframes60k—~3.3kAutomated safety check: PassApache-2.0
Anthropic Brand Stylinganthropics/skills180k30 repos~559Automated safety check: PassApache-2.0
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo130k—~2.1kAutomated safety check: WarnMIT
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0

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Questions about Render Podcast Skit

What does Render Podcast Skit do?

Render a two-host podcast ad from a brand config and dialogue script. Render Podcast Skit is an agent skill from gooseworks-ai/goose-skills. Render a two-host podcast ad from a brand config and dialogue script.

When should I use Render Podcast Skit?

Render Podcast Skit fits situations like: short conversational ads with two stable hosts in one room.

How do I install Render Podcast Skit in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill render-podcast-skit -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-podcast-skit in gooseworks-ai/goose-skills) into .claude/skills/render-podcast-skit in your project. Claude Code loads it when a task matches its description.

How do I install Render Podcast Skit in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill render-podcast-skit -a codex`. Or copy the skill folder (skills/ads/capabilities/render-podcast-skit in gooseworks-ai/goose-skills) into .agents/skills/render-podcast-skit in your project. Codex loads it when a task matches its description.

Can I use Render Podcast Skit 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-podcast-skit -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-podcast-skit, .gemini/skills/render-podcast-skit, .github/skills/render-podcast-skit and .opencode/skills/render-podcast-skit in your project.

What does Render Podcast Skit need to run?

Going by SKILL.md and its folder, Render Podcast Skit needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Render Podcast Skit 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 Podcast Skit 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 Podcast Skit use?

Render Podcast Skit 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 Podcast Skit use?

About 853 tokens (SKILL.md is roughly 3.4k 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 Podcast Skit?

Skills that share tags, products or a category with Render Podcast Skit: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 60k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Render Podcast Skit?

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.