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/make-viral-video

Build a short news-explainer video tuned for shareability. One striking moment per video; real fetched assets; self-heal validation; pluggable TTS (Gemini-free default, OpenAI fallback).

From plugin
sutando
40179 skills18 hooks

Claude Code

$ npx -y skills add sonichi/sutando --skill make-viral-video --agent claude-code

SKILL.md

make-viral-video.SKILL.md
name: make-viral-video
description: "Build a short news-explainer video tuned for shareability. One striking moment per video; real fetched assets; self-heal validation; pluggable TTS (Gemini-free default, OpenAI fallback)."
user-invocable: true

make-viral-video

Build a short (~30-60s, 1280×720 landscape, h264+aac) news-explainer video around a single source URL or news event. Designed for shareability via the **specificity-shape** framing (Chi's pick 2026-05-09): one striking number, image, or quote — not a comprehensive overview.

Distinct from Lucy's `recursive-meta-explorer` v8-v12 lineage (which optimized for completeness). This skill optimizes for *the one moment that makes someone share*.

Usage

bash "$SKILL_DIR/scripts/build.sh" --topic "DoW UAP file release" --source "https://war.gov/UFO" --out results/

Produces:

  • `results/viral-{ts}/video.mp4` — the rendered video
  • `results/viral-{ts}/script.md` — the narration script
  • `results/viral-{ts}/assets/` — fetched images with hash + validation log
  • `results/viral-{ts}/build.log` — full build trace (codex iterations + validation results)
  • `results/viral-{ts}/verify.sh` — script to independently re-validate the build

Required tools

  • `python3 ≥ 3.10` (PIL for frame composition)
  • `ffmpeg` (encode + ffprobe gate)
  • `gemini` API key (free tier, default) **OR** `openai` API key (fallback)
  • Codex CLI (for script generation per pass)

Architecture

Three-phase build with self-heal

**Phase 1 — Source ingestion + script generation**

  • Fetch the source URL (curl + Playwright fallback for JS-rendered pages)
  • Codex generates a narration script + asset manifest with the **specificity-shape framing**:
  • One striking opening fact (the hook)
  • 3-5 supporting details (context)
  • One closing twist or open question (the share moment)
  • Asset manifest is JSON: `[{"url": "...", "alt": "...", "purpose": "hook|support|closer"}]`

**Phase 2 — Asset validation (the self-heal loop)**

For each asset URL: 1. Fetch 2. Hash check: refuse duplicates (catches the v12 PR46-404-dupe pattern) 3. Content-type check: must be image/* or fall back 4. 404 detector: known-404-page hash list + OCR keywords ("404", "page not found", "Not Found") 5. Resolution check: ≥600×400 (sub-thumb assets are not viral-grade) 6. Re-fetch on failure with up to 2 retries 7. **If validation still fails** → script regen with that asset removed, NOT a silent skip

If 3+ assets fail validation, escalate to user (don't ship a video with placeholder content).

**Phase 3 — Render + pre-publish gate**

1. Compose frames via PIL (templates: hook-card / asset-with-caption / closer-card) 2. TTS narration via Gemini Flash (free) → fall back to OpenAI on rate-limit / error 3. ffmpeg encode 4. **ffprobe gate**: confirm h264 video stream + aac audio stream + 1280×720 dimensions + duration within ±5s of script estimate 5. If gate fails → report what's missing + don't post

Visual constraints (specificity-shape)

Per Chi's "visual needs improvement too":

  • **Hook card** (0-3s): single bold claim in large type (≥120pt), brand color background, no other text
  • **Support cards** (3-X seconds before closer): real fetched image fills frame; caption overlay (semi-transparent strip, 36pt) with the *one* attributable fact about that image
  • **Closer card** (last 3-5s): the share-moment text — not a recap. A pointed question, surprising number, or open-ended provocation.
  • Aspect: 1280×720 (16:9). NOT vertical 9:16 (Lucy's v10/v11 cropped pictures because of this; landscape preserves news-photo composition).
  • Typography: max 2 fonts (one display, one body). Body font must read at 36pt against any image (test: bottom-third of the frame must contain text or be black-strip overlay).

TTS provider + voice selection

Default: `GEMINI` (free tier, 1500 req/day quota) → `OPENAI` (sage voice, ~$0.02/min) fallback.

Voice flags (per `render.py --help`):

  • `--gemini-voice {Aoede,Charon,Kore,Puck}` (default `Aoede`)
  • **Aoede** — alto/neutral, default, fits documentary tone
  • **Charon** — baritone news-anchor; per Susan/Lucy 2026-05-10: matches news-explainer shape
  • Kore (mid expressive), Puck (high conversational)
  • `--openai-voice` — free-text (used only on OpenAI fallback path)

Series branding (Mini Wire)

The skill ships an end-card slate (last 2s) for series identity. Per Chi 2026-05-10:

MINI WIRE
by Echo Act IV · Sutando   (optional byline)
ep. 001 · 2026.05.10

Slate flags:

  • `--series-title "Mini Wire"` — wordmark in brand red. Empty string skips the slate entirely.
  • `--episode 001`
  • `--date 2026.05.10` (defaults to today)
  • `--byline "by Echo Act IV · Sutando"` — free-text, between title and episode line. Empty omits byline. **Caller controls every word — no hardcoded identity in render.py.**
  • `--slate-duration 2.0` — seconds

The slate is **silent** — narration runs over the prior frames; slate gets a `apad=pad_dur=2` audio tail so AV streams stay synced through the silent end-card.

Multi-image visual support

`render.py` reads `asset_manifest.json` and maps each entry's `purpose` to its frame:

  • `purpose=hook` → HOOK frame bg
  • `purpose=support` (idx N) → SUPPORT[N] frame bg
  • `purpose=closer` → CLOSER frame bg
  • Falls back to first non-`data-card-*` real image if no explicit asset

Manifest entries have shape:

{
  "url": "https://example.com/photo.jpg",
  "local_file": "photo.jpg",
  "alt": "...",
  "purpose": "hook|support|closer",
  "badge": "Optional upper-strip badge text",
  "is_video": false,
  "source_tag": {
    "event_id": "pursue-release-01-2026-05-08",
    "case_id": "apollo-17-vm6-1972",
    "source_agency": "NASA",
    "source_url": "https://www.war.gov/UFO/",
    "source_type": "primary",
    "attribution": "war.gov/UFO/ · NASA",
    "license": "public-domain",
    "footer_short": "Apollo 17 / 1972"
  },
  "provenance": "Free-text operator note."
}

**`source_tag` is optional** (v1.0, Mini↔Lucy 2026-0

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@sonichi
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Questions about make-viral-video.

Which coding agents can use make-viral-video?
make-viral-video 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.