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Split Animated Short

Community
kevinbadi
split-animated-short

Turn a video script OR a source video URL (IG reel / YouTube / TikTok) into a 55/45 split-format vertical short — custom-generated animations in the top 55%, the AI persona (Megan/Danny) talking in a rounded band across the bottom 45%, narration + kinetic captions synced to the persona's voice. Zero source pixels used. Trigger when Kevin drops a script or a short-form video link and wants the split animated version for a persona.

Overview

Publisherkevinbadi
Repositoryopen-edits
Skill namesplit-animated-short
Stars
53
Forks
10
Bundled files
11
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kevinbadi on GitHub. Read the source before you install it.

Installation

Install the Split Animated Short AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kevinbadi/open-edits/tree/main/skills/split-animated-short
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kevinbadi/open-edits.git /tmp/open-edits
mkdir -p .claude/skills
cp -r /tmp/open-edits/skills/split-animated-short .claude/skills/split-animated-short
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Split Animated Short in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Split Animated Short on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Split Animated Short is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Split Animated Short (55/45 — LOCKED FORMAT, Kevin 2026-07-12)

Kevin's flagship original-content format: "video script / video download → video clone + custom animation recreate." Every frame is generated — the animations are authored per script, the persona narrates, nothing is copied from the source video except its words.

Reference implementation (first approved video): clone-projects/Danc08PA0kz-animated/ — render5.py (the 55/45 build) + render2.py (asset library + beat engine). Copies live in templates/. Per video, create projects/<slug>-animated/ and adapt.

Persona constants (vertical looks)

Fill in your own HeyGen looks (HeyGen dashboard → Avatars / Voices, or GET /v2/avatars):

personatalking_photo_id (vertical)voice_id
persona-a<TALKING_PHOTO_ID><VOICE_ID>
persona-b<TALKING_PHOTO_ID><VOICE_ID>

Your own avatar (char_type avatar, not a talking_photo): submit with {"type":"avatar","avatar_id":"<AVATAR_ID>","avatar_style":"normal"} and its voice_id. Some avatar renders come back LETTERBOXED (content ~y648-1296 of the 1080x1920 frame, light bars above/below). Band crop that fills 704x578 head-anchored with no bars: crop=731:600:90:665,scale=704:578,fps=30. The persona guard still applies: an avatar speaks first-person and never names the creator it was cloned from. Sections can auto-align to the avatar's narration with a two-pointer aligner over the Whisper words (no hand-timed SECT).

Env: HEYGEN_API_KEY, APIFY_TOKEN, INSFORGE_* (.env.local). Cost: HeyGen ≈ 1 quota/second of narration; everything else is local.

Pipeline

  1. Get the script.
    • Script given → use it directly.
    • URL given → IG reels: Apify apify~instagram-scraper (directUrls + resultsType: "details") — yt-dlp CANNOT fetch IG even with cookies; the returned CDN videoUrl is short-lived, download immediately. The item's caption is GROUND TRUTH for fixing Whisper mishearings. YouTube/TikTok: yt-dlp. Then Whisper (base, word timestamps).
  2. Correct + guard the script. Fix product names against the caption (whisper renders "Claude"→"Clod", "submit"→"admit", etc.). Persona-swap any identity (Kevin/Kev → persona; also strip other creators' names). HARD GUARD before HeyGen: refuse if /\b(kev(in)?|nick|saraev)\b/i.
  3. HeyGen narration — ONE job, persona's VERTICAL look, 1080x1920, {"type": "talking_photo", "talking_photo_id": ...}. ENERGY SETTINGS (Kevin 07-13, tuned over two runs): voice "speed": 1.10 + "emotion": "Excited" → ~3.25 words/sec — LOCKED DEFAULT (1.15 was "slightly too fast"). Write the script punchy AND WITH PERSONALITY — named frameworks and attitude, not plain advice ("the throw shit at the wall framework", "stalk your analytics like it's your ex's new girlfriend", "never let the algorithm catch you lacking"). On-screen text censors profanity Nick-thumbnail style (sh*t) via a caption CENSOR map; spoken audio stays uncensored. Original-concept videos: pick tips that ARE Creator OS features (post-everywhere / winners analytics / week scheduling) so the CTA is the natural payoff. The video doubles as the band footage; the audio is the master timeline. Whisper the narration → words.json (all sync flows from HER timing — no speed-matching, this is original content).
  4. AUTHOR THE ANIMATION (the creative step — done fresh per script): split the narration into sections at spoken anchors ("first…", "next…", CTA), then pack 6–10 elements on screen at once (NVIDIA SkillSpector recut, Kevin 2026-09-02 — that density is locked for every split video). Prefer motion graphics over lonely text pills: terminals, product logos, skill grids, screenshots, orbiting marks, HUDs. Claude family is locked (Kevin 2026-09-03): copy split-animated-talking-head/templates/claude_marks.py and assets/claude-invader.png + claude-sphinx.png. Whenever the narration says Claude, Claude Code, Opus, Sonnet, Haiku, Fable, or Anthropic, call place_claude(...) — dancing block invader + spinning Sphinx badge. Eyes look_at=(x,y), arms grab="right" / grab_at / grab_t to pick things up. Never a favicon. Keep asset edges inside x=36..1044 so left-column pieces aren't sliced off. Asset library: templates/animation_assets_and_beats.py. Scene content must MATCH what's being narrated at that moment.
  5. Pacing rules (Kevin: "users don't have attention spans"): nothing on screen >2.5s; 0.3s directional entrances with ±8° tilt + overshoot pop; exits fly up before the next beat; per-section Ken Burns zoom; white flash cut at section starts (ANIMATION REGION ONLY — persona stays stable); ghost words parallax-drift; something always moving (spinning arrows, ticking checks, pulsing CTA, bouncing arrow that points DOWN at the persona on the comment CTA).
  6. Compose 55/45 (templates/split_55_45_compositor.py):
    • Animation layer renders TRANSPARENT in the 720x853 design space, then uniform-scales 0.823x into the top 702px (no distortion, 64px side pads on top of the 60px in-layer safe zones; keep content ≥90px from the layer top for platform UI).
    • Persona band: 704x578 at y=702, rounded TOP corners r=40, 8px side margins (background shows through). CROP RULE: start a SLIVER above the top of her head (y≈420 in the 1080x1920 HeyGen video for Megan's look) — no headroom, so her movement plays against the band edge. Pre-transcode the band to 30fps (HeyGen outputs 25fps; cv2 must read 1:1 with render frames).
    • Kinetic captions at y≈636 in the gap: one word, Arial Bold ~44px, pop on word onset, KEYWORDS (product words, numbers, hook words) render CORAL and ~18% bigger; dark ink on light scenes, white on sage; caption windows DISJOINT BY CONSTRUCTION (whisper word times overlap).
  7. Encode + deliver: frames → ffmpeg + narration audio (crf 19). Review a tiled overview + 2-3 full-res frames for collisions. Feed item in brand-content/<persona>/carousels/ (remote Insforge URL slide). Publish to the persona's socials only on Kevin's go.

Learnings baked in

  • Animation density: 6–10 live elements, SkillSpector recut energy, on every video. Left/right edges stay inside x=24..696 (left stacks clip).
  • Whisper mishears product names — always cross-check the source caption.
  • HeyGen speaks ~25-30% slower than typical creators; irrelevant here (her audio IS the timeline) but relevant if ever matching source pacing.
  • Cache card renders by state (CACHE dict) — 1,900 frames in ~5 min.
  • Ratio history: 2/3-1/3 → 3/5-2/5 → 55/45 LOCKED (Kevin) with the tight head crop.

2026-09-05 upgrade (shared with split-animated-talking-head)

The persona variant uses the same new layers. Copies of the scripts and templates live in this skill's scripts/ and templates/; the rules are in split-animated-talking-head/SKILL.md steps 5b (notable-figure portraits per niche, fetch_figure.py + figure_row / figure_spotlight), 5c (Giphy reaction GIFs, fetch_giphy.py + gif_card), 7b (hyper-edit layer: keyword punch-ins on the persona band, hyperframe inserts, whip cuts, shake, springs, freeze hit — hyper_edits.py). Follow them on every video. No HTML overlay layer: the HyperFrames hf_layer was removed (Kevin 2026-10-02).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Split Animated Short AI skill do?

Turn a video script OR a source video URL (IG reel / YouTube / TikTok) into a 55/45 split-format vertical short — custom-generated animations in the top 55%, the AI persona (Megan/Danny) talking in a rounded band across the bottom 45%, narration + kinetic captions synced to the persona's voice. Zero source pixels used. Trigger when Kevin drops a script or a short-form video link and wants the split animated version for a persona.

Why use Split Animated Short on TypingMind?

Because you install it once and use it with any model. Split Animated Short is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Split Animated Short in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevinbadi/open-edits/tree/main/skills/split-animated-short. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Split Animated Short?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Split Animated Short?

As many as you like. As long as a model supports skills, you can use Split Animated Short with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Split Animated Short AI skill free?

Yes. It is published on GitHub by kevinbadi under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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