Agent skill

Render Editorial Motion Podcast

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

Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are…

MITAuto-check passedMedia & Creative

Install Render Editorial Motion Podcast

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

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills render-editorial-motion-podcast --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-editorial-motion-podcast .claude/skills/render-editorial-motion-podcast && 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-editorial-motion-podcast
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
721 words
Files
6 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are…

  • Works in 3 steps: NON-OVERLAP — clamp every line to END… → SAFE AREA — captions sit in the lower… → BURN ENGINE — prefer libass…
  • The editorial-motion-podcast format
  • SKILL.md covers Choices, Run and Contract (the free assembly)
  • Calls ffmpeg

What it does

Render Editorial Motion Podcast is an agent skill from gooseworks-ai/goose-skills. Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE…

Its SKILL.md is about 1.5k 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 Video production and Speech recognition and synthesis. It works with FFmpeg. 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 editorial-motion-podcast format
  • Tasks that involve Video production
  • Tasks that involve Speech recognition and synthesis

Example prompts

  • “/render-editorial-motion-podcast”

Workflow steps

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

  1. NON-OVERLAP — clamp every line to END before the next STARTS
  2. SAFE AREA — captions sit in the lower third, so the keyframe's subject must stay in the
  3. BURN ENGINE — prefer libass (ass/subtitles filter), but **check ffmpeg -filters

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.

    Shell commands in SKILL.md call:

    • ffmpeg

    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 Editorial Motion Podcast loads about 1.5k tokens when it runs. Until then it costs about 194 tokens; SKILL.md has 721 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~194
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 721 words, ~1,503 tokens.

Download SKILL.mdSave it as .claude/skills/render-editorial-motion-podcast/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
render-editorial-motion-podcast
description
Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE deterministic assembly stage (ffmpeg ken-burns + hard concat + audio mux + captions + end card); the real audio is clipped from source and the keyframes come from create-image-fal. Use for the editorial-motion-podcast format.
status
active

render-editorial-motion-podcast

Assemble an editorial-motion podcast-clip ad from a config: a real clipped podcast audio line carries the whole narrative and every visual beat is timed to the sentence it describes, in ONE flat, strictly limited-palette editorial-illustration look pack ("a magazine spot-illustration that moves" — the style and palette are the caller's choice). The motion is not generative video but deterministic ffmpeg ken-burns on static keyframes, so it reads as a printed page that moves. This capability is that FREE, deterministic assembly — the ffmpeg motion, hard-concat, audio mux, caption burn, and PIL end card.

scripts/config.example.json is the worked example (Klarify "Rat Park", ~40.8s 1080×1920 9:16, 6 beats — its 2-tone Niemann look, cream/charcoal/sage palette and Rat Park metaphor are that demo's picks, never defaults); scripts/PIPELINE.md maps every config block to its source step and scripts/README.md documents the free assembly.

Choices

The creative calls are the caller's (the video-format recipe asks the user); this assembly never picks them. The demo's value is an example only:

  • Illustration style — demo: bold flat 2-tone silhouettes, halftone (Niemann / Steinberg lineage).
  • Palette — demo: cream #F4EBD9 + charcoal #1A1A1A + one sage #86987A accent.
  • Central metaphor — demo: the Rat Park study.
  • Tone / voice — demo: warm and reflective, the real podcast host (no generated voice).

Run

This is the FREE, deterministic assembly stage — it spends nothing on the motion layer. The paid inputs are separate: the real podcast MP3 is clipped from source (free ffmpeg) with its Whisper word timings, and one editorial-illustration keyframe per beat (chained ref images so cage/character geometry holds) comes from create-image-fal (Nano Banana). Given the clipped audio + words.json + the per-beat keyframes + the real brand wordmark PNG, render-editorial-motion-podcast renders each keyframe as a ken-burns segment, hard-concats on the beat, muxes the real audio, burns the mid-sentence captions, and composites the PIL end card → the master. Re-cuts reuse the existing audio / keyframes and cost $0.

Contract (the free assembly)

  • A spoken narration carries the whole spot — no generated SONG. Mux the provided narration MP3 (-map 0:v:0 -map 1:a:0) — a real clipped podcast line (preferred) OR an approved generated VO (create-vo-elevenlabs). Never a sung/generated track. (Clip-vs-generate is the recipe's STEP-0 intake decision — if no source episode is supplied, ASK the user.)
  • NO generative i2v — deterministic ffmpeg ken-burns only. Animate each static keyframe with zoompan (push-in / pull-back, 1.0→~1.06×, 24fps); Seedance/Kling are photoreal-trained and invent naturalistic middle states that collapse the flat limited-palette look look. Never -loop 1 with zoompan d=N (it balloons the duration); feed a single image and clamp with -t + trim.
  • Hard cuts on the beat — no crossfades. Crossfades ghost two drifting cages through each other; hard-concat each beat's segments and split long beats into micro-cuts (target 8–10 distinct visual moments). Each beat's visual STARTS within ~0.5s of its spoken line.
  • Captions from Whisper word-timestamps, ON only mid-sentence. Burn frosted-subtle captions while the speaker talks; leave silent/reflective beats and the end card uncaptioned. THREE mandatory rules (each bit us in prod — bake them in):
    1. NON-OVERLAP — clamp every line to END before the next STARTS (end = min(last_word_end + ~0.15, next_start - 0.03)). Two boxes must never stack at the same spot; an end-tail bleeding into the next window is the #1 caption bug.
    2. SAFE AREA — captions sit in the lower third, so the keyframe's subject must stay in the upper ~75% (see the recipe's look_pack.caption_safe_area). If a finished keyframe's subject intrudes into the caption band, deterministically shift the subject UP into the empty top space (PIL: paste up ~0.24H onto a canvas pre-filled with the exact paper color from a clean corner) — never let the box sit on the subject.
    3. BURN ENGINE — prefer libass (ass/subtitles filter), but check ffmpeg -filters first: many builds (Homebrew) lack libass/drawtext. If absent, use the deterministic overlay fallback — render each line as a transparent PNG (frosted rounded box + white text, PIL) and composite via the ffmpeg overlay filter with timed enable='between(t,st,en)' windows. Same look, no libass.
  • End card via PIL from the real wordmark PNG — never AI-render brand text. The lockup is composited deterministically (stretched-gradient bg + feathered mascot crop + wordmark + tagline with a system font); a diffusion model garbles a wordmark ("therapits"). The video runs a ~1.5s silent hold past the audio on the end card (fade first/last 0.3s).
  • FFmpeg composite, deterministic, FREE. Ken-burns each keyframe, hard-concat, mux the real audio, burn the captions, hold on the end card → a 1080×1920 h264+aac master. No paid calls.

© 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-editorial-motion-podcast 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 Editorial Motion Podcast 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 Editorial Motion Podcast compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Render Editorial Motion Podcast this skillgooseworks-ai/goose-skills1.2k—~1.5kAutomated safety check: PassMIT
Karaoke CaptionsAI-Builder-Club/skills1.3k—~850Automated safety check: PassNone
Shorts Video Makeruxjoseph/content-marketing-team107—~665Automated safety check: PassNone
AutoshortsUpload-Post/skill-autoshorts151—~5.3kAutomated safety check: NotesMIT
Bggg Tiktok Cutbinggandata/bggg-skills605—~954Automated safety check: PassMIT
Lark Minutesrongxinzy/RongxinAI1542 repos~2.1kAutomated safety check: PassAGPL-3.0

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Works with

Questions about Render Editorial Motion Podcast

What does Render Editorial Motion Podcast do?

Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are…. Render Editorial Motion Podcast is an agent skill from gooseworks-ai/goose-skills. Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text.

When should I use Render Editorial Motion Podcast?

Render Editorial Motion Podcast fits situations like: the editorial-motion-podcast format; tasks that involve Video production; tasks that involve Speech recognition and synthesis.

How do I install Render Editorial Motion Podcast in Claude Code?

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

How do I install Render Editorial Motion Podcast in Codex?

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

Can I use Render Editorial Motion Podcast 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-editorial-motion-podcast -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-editorial-motion-podcast, .gemini/skills/render-editorial-motion-podcast, .github/skills/render-editorial-motion-podcast and .opencode/skills/render-editorial-motion-podcast in your project.

What does Render Editorial Motion Podcast need to run?

Going by SKILL.md and its folder, Render Editorial Motion Podcast needs the command-line tools its instructions call (ffmpeg).

Does Render Editorial Motion Podcast 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 Editorial Motion Podcast 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 Editorial Motion Podcast use?

Render Editorial Motion Podcast 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 Editorial Motion Podcast use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Editorial Motion Podcast?

Skills that share tags, products or a category with Render Editorial Motion Podcast: Karaoke Captions (AI-Builder-Club/skills, 1.3k stars), Shorts Video Maker (uxjoseph/content-marketing-team, 107 stars), Autoshorts (Upload-Post/skill-autoshorts, 151 stars) and Bggg Tiktok Cut (binggandata/bggg-skills, 605 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Render Editorial Motion Podcast?

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.