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render-myth-vs-fact

Assemble a myth-vs-fact kinetic-typography explainer video ad (≈29.5s, 9:16) from N myth/fact pairs + hook / turn / punch copy + palette + a brand end-card PNG + a VO track — a hook, 3 red-strike MYTH cards that flip to teal-check FACT cards (per-line strikethrough that crosses EVERY wrapped line),…

Install / Use

npx skills add gooseworks-ai/goose-skills --skill render-myth-vs-fact

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Tags

Our assessment of render-myth-vs-fact

render-myth-vs-fact scores 83/100 on our quality scale, 3194th of 4,581 Development & Engineering skills we index.

Its SKILL.md is 8.5 KB long, split into 7 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.

Substance
29/30
Structure
11/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 33 days ago, so render-myth-vs-fact 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-myth-vs-fact compared with similar skills

All 4 of these similar skills score higher than render-myth-vs-fact; compare them before choosing.

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Frequently asked questions

How do I install render-myth-vs-fact?
Run npx skills add gooseworks-ai/goose-skills --skill render-myth-vs-fact. The install tabs above show the steps for each supported agent.
Which AI agents does render-myth-vs-fact 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-myth-vs-fact 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-myth-vs-fact still maintained?
The repository was last updated 33 days ago, so render-myth-vs-fact is actively maintained.

name: render-myth-vs-fact description: Assemble a myth-vs-fact kinetic-typography explainer video ad (≈29.5s, 9:16) from N myth/fact pairs + hook / turn / punch copy + palette + a brand end-card PNG + a VO track — a hook, 3 red-strike MYTH cards that flip to teal-check FACT cards (per-line strikethrough that crosses EVERY wrapped line), a "what actually works" turn, an optional proof reveal, a punch line, and a static end card. DETERMINISTIC assembly with ZERO AI-gen visuals — HTML hyperframes rendered frame-exact via Playwright (window.renderAt(t), animation a pure function of beat-local time), Whisper beat-snap to VO word onsets, concat at a uniform fps, karaoke .ass captions burned last (suppressed on the proof + end-card beats), and a VO + optional music mix (music −20 dB, amix normalize=0, tail fade). FREE (Python + Playwright + ffmpeg); the recipe supplies the copy / palette / end-card / VO and gates the paid VO / music / Whisper calls to their own capabilities. Use for the myth-vs-fact format. status: active

render-myth-vs-fact

The free, deterministic renderer for the myth-vs-fact video ad format — the sound-off-safe kinetic-typography explainer that busts N common myths and hands the viewer a credible resolution. Red-strike MYTH cards flip to teal-check FACT cards over a VO (voice + tone are the caller's choice; the demo used a calm-authority expert), then a "what actually works" turn + an optional proof reveal + a punch line + a static brand end card.

Every on-screen word is a deterministic HTML hyperframe — no AI image/video gen, no b-roll, no character. Visuals are free (no paid calls). The only metered spend is upstream (VO + Whisper word-timestamps + an optional music bed), gated to its own capabilities. This capability OWNS the whole FREE assembly: beat-snap → render → captions → mix → burn → master. Iterate the cut for free; re-roll only the offending paid audio beat.

It ports a validated earlier build — brand-neutralised, config-driven, and portable (no /Users, no clients/; everything via --config + --work-dir).

SOUND-OFF SAFE is the whole point: every claim is legible on-screen and the VO only reinforces it. VO-FIRST: render the VO, extract Whisper word onsets on the RENDERED audio, then snap every beat boundary + strike wipe + reveal to those onsets.

The 8-beat spine (roles)

hook → 3× myth-fact (the flip triad — identical grammar so it reads as a pattern) → turn (the "what actually works" pivot) → proof (optional actives/proof reveal, omit if empty) → punch (full-frame closer) → end-card (the static brand PNG). Each beat carries its role, duration, and its copy; ONE role template renders any pair.

Scripts (free — Python + Playwright + ffmpeg, no paid calls)

  • scripts/beat_snap.py — VO-first alignment. FAL Whisper word-timestamps on the RENDERED VO → re-snap every beat boundary to the nearest word onset. Writes beat-manifest.json + whisper/words-flat.json into the work dir. --no-whisper keeps the config durations un-snapped for a fully offline run.
  • scripts/render_beats.py — the deterministic renderer. Per mg beat: pick the role template under hyperframes/, inject the beat's copy + palette + fonts as window.BEAT, drive window.renderAt(t) frame-by-frame via Playwright, screenshot each frame → ffmpeg at EXACTLY the configured fps (default 25/1). The end-card beat is built from the pre-supplied brand PNG (scale/crop + a ~0.35s fade-up) — never generated per run.
  • scripts/make_captions.py — karaoke .ass from the manifest + Whisper words. ≤3 words per cue; close on a >0.4s gap / beat-window edge / sentence-ending punctuation. Captions are burned ONLY in caption-allowed windows; the proof + end-card beats are suppressed.
  • scripts/compose.py — the assembler: concat the beats → mix VO + optional music (music −20 dB, amix normalize=0, ~0.8s tail fade) → burn the .ass LAST → master mp4.
  • scripts/config.example.json — the shape of the brand config the recipe binds (the demo build, a made-up houseplant-care brand, as a worked reference).
  • scripts/hyperframes/ — the bundled hyperframe scaffold: _shared.css (palette-tokened tokens + card/tag/fact/pill/chain type), _shared.js (the initRenderer / springScale / buildLineStrikes + strikeLines per-line-strike / popIn / revealWords helpers + config injection), and one template per role (beat-hook.html, beat-myth-fact.html, beat-turn.html, beat-proof.html, beat-punch.html).

Inputs (all via --config + a runtime work dir — NO hardcoded paths)

config.json carries: fps (25) / width / height; vo + optional music + mix{music_db:-20, tail_fade:0.8}; palette (the five CSS-var tokens bg, myth_strike, fact_accent, headline_ink, accent); brand_name; display_font; end_card_png + end_card_fade; caption_style; suppress_beats; and beats[] — each {n, role, duration, captions, cues{...}} plus the role's copy:

  • hook: eyebrow, hook_line, emphasis, strike_word
  • myth-fact: myth_index, myth_line, and either fact_line (a [bracketed] phrase becomes the accented payload) OR fact_clauses[] (a staggered clause chain)
  • turn: turn_slate, turn_sub ([brackets] → emphasis)
  • proof: proof_eyebrow, proof_items[] ({name, badge}), proof_footnote
  • punch: punch_line
  • end-card: none (built from end_card_png)

The recipe's myth_fact_pairs, hook_line, turn_slate, punch_line, palette, end_card_png, and optional actives_or_proof map onto these beats 1:1. See config.example.json (a worked example — the Fernhollow houseplant demo; its copy and palette are that brand's, never defaults).

Choices

The creative calls the caller makes upstream (the video-format recipe asks the user). This renderer never picks them — it only consumes the rendered files and copy:

  • Narrator voice → the vo file (made by create-vo-elevenlabs). The demo used a calm expert voice.
  • Tone → the VO direction + the hook / turn / punch copy. The demo was calm-authority, warm, plain-language.
  • Music → the optional music file (made by create-music-elevenlabs). The demo used a calm airy pad + sparse warm keys, no drums.

The palette is a brand fact (brand kit), not a choice.

Craft rules (load-bearing — faithful to the source molecule)

  • MYTH strikethrough is PER-LINE. Measure each wrapped line box (Range.getClientRects, deduped to one rect per visual line) and lay one red bar at each line's vertical MIDDLE, driven as ONE continuous L→R sweep. A single fixed-Y rule reads as an underline the moment the headline wraps.
  • The end card is the pre-built brand PNG — NEVER generated per run. Scale/crop to the canvas with a short fade-up; it carries its own baked logo + claim + CTA.
  • Animation is a pure function of beat-local time — no setTimeout, no CSS keyframes — so Playwright seeks frame-exact and the render is fully reproducible.
  • Every beat mp4 is exactly the configured fps (25/1). render_beats.py enforces + warns; a mismatch makes the concat demuxer silently drop frames.
  • All text fits the 88% safe area at the ~15% spring-overshoot PEAK, not at rest.
  • Captions burned LAST, ≤3 words/cue, closing on >0.4s gap / window edge / sentence end. The ASS Events Format: line MUST carry the Name field or every cue gets a leading-comma artifact. Suppress the proof/footnote + end-card beats (two text layers at one spot both go unreadable).
  • Mix constants are validated — music −20 dB under the VO, amix normalize=0 (with normalize on the bed pumps), ~0.8s tail fade. Sound-off must still work without the bed.
  • Keep the MYTH triad's flip grammar + internal timing identical so it reads as a pattern (anaphora).

Requires

  • Python 3 + Playwright with Chromium (the kit provides it) for the frame-exact hyperframe render, and ffmpeg/ffprobe on PATH. If Playwright is unavailable, compose.py + make_captions.py (the concat / mix / caption path) still run; only render_beats.py needs the browser.
  • watch (QC the final master — the red strike crosses the vertical MIDDLE of EVERY wrapped myth line, the VO is intelligible, captions are legible with no card collision, suppression is correct on the proof + end-card beats, framerate is uniform 25/1, no clipping, every claim is legible sound-off). The recipe gates the paid create-vo-elevenlabs (VO), create-music-elevenlabs (bed), and FAL Whisper calls — this capability itself makes NO paid calls.

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
Updated1mo ago
Forks208

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions