render-absurdist-explainer
Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI)…
Install / Use
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OtherSupported Platforms
Our assessment of render-absurdist-explainer
render-absurdist-explainer scores 85/100 on our quality scale, 189th of 283 Other skills we index.
Its SKILL.md is 9.4 KB long, well organised into 8 sections and no code examples: a thorough specification that gives an agent plenty to work with.
With 1,222 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 33 days ago, so render-absurdist-explainer is actively maintained.
- Our last check on 2026-10-14 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
render-absurdist-explainer compared with similar skills
All 4 of these similar skills score higher than render-absurdist-explainer; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| render-absurdist-explainer (this skill)by gooseworks-ai | 85 | 1.2k | 33d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 102.4k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.8k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.7k | 3d ago | MCP Server |
| crawl4aiby unclecode | 100 | 86.3k | 3d ago | MCP Server |
Frequently asked questions
- How do I install render-absurdist-explainer?
- Run
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer. The install tabs above show the steps for each supported agent. - Which AI agents does render-absurdist-explainer work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is render-absurdist-explainer safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is render-absurdist-explainer still maintained?
- The repository was last updated 33 days ago, so render-absurdist-explainer is actively maintained.
Skill content
View source on GitHubname: render-absurdist-explainer description: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) held static, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. status: active
render-absurdist-explainer
The free, deterministic renderer for the absurdist-explainer video ad format — an animated spot that explains one problem and how the product fixes it. The format is the mechanics: show the problem in a funny, exaggerated cartoon way, teach the product's ownable mechanism visually, show what the problem costs, bring the product in, land the fix as the climax, pay it off, end on a real-product card. One narrator voice carries the whole spot. How the story is told (problem → fix, how it works, a day in the life, the product as hero, or a villain arc) is the user's choice, made upstream. This capability is the FREE assembly stage only. All generative work (nano-banana keyframes, Seedance i2v clips, ElevenLabs VO + music) happens upstream in the recipe and is handed to this capability as files.
It ports the compose recipe validated on two earlier reference runs (both happened to use the villain arc). The recipe is deterministic — iterate the cut for free, re-roll only the offending paid beat.
Choices
The creative calls are made upstream by the recipe's choices and arrive here only as
files and config values. This renderer is story- and style-agnostic: it never assumes a
story shape, a cast, a look, a narrator or a music style.
story_shape— how the story is told: problem → fix (no villain) / how it works / a day in the life / the product as hero / villain arc (the problem as a cartoon villain who schemes and loses). Reaches this capability as the per-scenecaptiontext and the VO files. Asked of the user; the demo used the villain arc.cast— who the cartoon characters are (the customer, the product as a character, a mascot; a personified problem only on the villain arc). Reaches this capability only inside the clips. Asked of the user.narrator— who speaks the single VO track. Arrives as thescenes[].vofiles. Asked of the user; the demo used the villain (villain arc only).visual_style— the art style of the i2v clips (scenes[].clip). Asked of the user; the demo used Pixar-style 3D. Nothing here depends on it.narrator_voice— the voice cast for the VO. Asked of the user; the demo used a characterful male villain voice.music— the bed atmusic_bed. Asked of the user; the demo used whimsical pizzicato + woodwinds + xylophone. The mix constants below apply to any style.
What it does (the deterministic recipe)
- Per-scene retime. Each i2v clip is retimed to its measured VO window
(
scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,fps=30,setsar=1, thentpad=stop_mode=cloneif the VO is longer than the clip, else a trim). Each window is snapped to a whole number of frames first.compose.pyandmake_captions.pyuse the same rule, so video cuts, VO windows and caption cues share the same cut times and a caption never outlives its cut. - Identical re-encode. Every segment is re-encoded
libx264 -crf 18 -pix_fmt yuv420p -r 30even if already correct — a framerate mismatch makes the concat demuxer silently drop frames. - Concat all scene segments + the end card via the concat demuxer (
-c copy). - Real-product end card.
build_endcard.pycomposites the REAL retail product photo over the brand palette (flat, or sampled from the photo's own edge pixel) with a typeset wordmark + claim rows + CTA pill in PILImageDraw.text— never an AI cartoon bottle, never AI-rendered brand text.compose.pyholds it static over the dwell. Setend_card.zoom_toabove 1.0 (for example 1.04) only if you want a slow zoom. Text that would be hard to read on its background (a dark brand colour on a dark photo) is drawn in white or near-black instead, with a warning. Ifend_card.vois set, that spoken line plays from the start of the end-card window, and the dwell is stretched to at least the line's duration + 0.5s. - Mix. VO bus
loudnorm I=-14 TP=-1.5, music busloudnorm I=-26 TP=-3thenvolume=0.62,amix inputs=2 duration=first normalize=0, so the music is ducked under the VO. - Master pass. The mix is measured, gained to -14 LUFS, limited, encoded to AAC and
measured again. The pass repeats until the encoded audio is at -14.5..-13.5 LUFS with
a true peak <= -1.5 dBFS.
compose.pyprints the measured loudness and peak. - Captions last.
make_captions.pyemits a libass.ass(one cue per scene, Arial 64 white / 6px outline / MarginV=330,start = scene_start + 0.08s, suppressed on the end card).compose.pyburns it as the final filter so captions sit on top.
Scripts (free — Python + ffmpeg + PIL, no bash, no paid calls)
scripts/build_endcard.py— PIL composite of the real product photo + typeset brand layer (wordmark / product line / claim rows / accent CTA pill). Reads the sameconfig.json. Run this FIRST soend_card.imageexists beforecompose.py.scripts/make_captions.py— emits the per-scene libass.assfrom the SAME scene table compose reads, so caption windows stay in lockstep with the cut. Run beforecompose.py(or pointconfig.captions_assat nothing to skip captions).scripts/compose.py— the assembler: per-scene retime + identical 30fps re-encode → concat -> static end card (voiced ifend_card.vois set) -> VO/music loudnorm mix -> master loudness pass -> burn captions -> master mp4.scripts/config.example.json— the shape of theconfigthe recipe binds. Its values are a labelled worked example (the demo build: a villain-arc story where Rust loses to Glidefern, a made-up bike-chain wax). Captions, end-card copy and palette come from the user's brand and choices — never copy them as defaults.
Inputs (all via --config + a runtime work dir — NO hardcoded paths)
config.json carries: scenes[] (each {id, clip, target_sec, vo, caption, atempo?}
where target_sec is the measured VO window), end_card{product_image, image, dwell_sec, zoom_to?, wordmark, product_line, claims[], cta, background?, vo?}, brand_palette {primary, primary_lite, accent, grey}, music_bed, music_volume (default 0.62),
atempo (compose-stage VO speed-up, default off; the reference runs used 1.3 when the VO
read slow), captions_ass, and caption_style. See config.example.json.
end_card.vo(optional) is the path to the end card's spoken line. It is laid at the start of the end-card window. The dwell becomes the larger ofdwell_secand the line's duration + 0.5s. Leave it out for a silent end card (music only).end_card.atempooverrides the globalatempofor this line.- Paths may be absolute, including Windows paths (
C:/...),captions_asstoo. - The config is read as UTF-8 (with or without a BOM). Save it as UTF-8 if any text has non-ASCII characters.
- Fonts. The end card uses DejaVu (Linux), Arial (macOS), or Arial / Segoe UI (Windows). If none is found it falls back to Pillow's built-in font at the right size.
Craft rules (load-bearing — faithful to the source molecule)
- The end card is the REAL product photo, composited — never an AI cartoon bottle. Both reference runs shipped an AI bottle first and had to re-shoot with the real photo.
- No AI-rendered brand text anywhere. Wordmark, claims, CTA, motif — all PIL
ImageDraw.text. AI draws the world + characters only. - Re-encode every segment to 30fps before concat, even if already correct, or the concat demuxer silently drops frames.
target_secis the MEASURED VO duration (ffprobe each VO mp3), never a planned word count — VO drives the per-scene timing.- Mix constants are validated - VO -14 LUFS, music -26 LUFS then
volume0.62 to 0.70 (the two reference runs),amix normalize=0. Master target -14.5..-13.5 LUFS, true peak <= -1.5 dBFS. The master pass enforces this and prints what it measured. - Caption
start = scene_start + 0.08s, suppressed on the end card (its typeset copy carries the message — two text layers at one spot are both unreadable).
Known gaps
- Captions are one cue per scene. The whole sentence is on screen from the start of the scene, before most of it has been spoken. Captions are not timed to the words. This is not fixed yet.
Requires
watch (QC the final master - confirm every character's look holds, the single
narrator voice carries the whole spot, no AI brand text leaked into a cartoon
background, the end card is the real product, and duration is within 0.1s of the summed
windows plus the end-card dwell). The recipe gates the paid create-image-fal (keyframes), create-video-fal
(Seedance i2v), create-vo-elevenlabs, and create-music-elevenlabs calls to their own
capabilities — this capability itself makes NO paid calls.
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
