Skip to content
Marketing
Skill

/render-editorial-motion-podcast

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

From plugin
goose-skills
1.3k181 skills

Claude Code

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

SKILL.md

render-editorial-motion-podcast.SKILL.md
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 (the fictional Ironfern "The Trees With No Wind" demo, ~40.8s 1080×1920 9:16, 6 beats — its 2-tone Niemann look, cream/charcoal/sage palette and dome-tree 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: a tree grown in a windless dome vs. trees in a windswept grove.
  • **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 set/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 spend nothing.

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 slightly drifted frames 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 (misspelled letters). 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,
Read more
@gooseworks-ai
Ships withgoose-skills

Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.

1.3k181 skills
Get the whole plugin

Stars on GitHub

Momentum

stars in total
1.3k
Star history of gooseworks-ai/goose-skills on GitHub, a chart by star-history.com

Other skills on goose-skills.

goose-ads

goose-ads

Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill…

goose-video

goose-video

Make a video ad in this chat from a real reference ad, found or theirs; styles are the fallback. Follow every answer's next_step.

gooseworks

gooseworks

GooseWorks growth coworker and router for markets, competitors, audiences, creators, campaigns, ads, photos, graphics, video,…

More skills from other plugins.

seo

seo

Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability,…

@agricidaniel@agricidanielInstall Skill
brag

brag

Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag",…

brag2w21k
@latent-spaces@latent-spacesInstall Skill
geo-audit

geo-audit

Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit…

Questions about render-editorial-motion-podcast.

Which coding agents can use render-editorial-motion-podcast?
render-editorial-motion-podcast installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.