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Short Editing

Community
Melvynx
short-editing

Edits a talking-head take end to end into a paper-style motion design short (1080x1920, also 1:1 and 16:9) with its own render engine (Node + Chrome + ffmpeg, free, offline). Use when the user says edit, cut, captions, subtitles, motion design, montage, "make it a short", render, or gives a recording from video-agent/takes/. Transcribes locally with word timings (whisper.cpp, or ElevenLabs when a key is set), cuts every silence, lays the boards on a textured paper above the camera card (counters, terminals, logos, trees, real screens, HTML motion components), word-by-word captions, a calm music bed, a few designed hits, -14 LUFS, and writes the mp4, an .srt and the post copy.

Overview

PublisherMelvynx
Repositoryvideo-agent-skills
Skill nameshort-editing
Stars
89
Forks
17
Bundled files
485
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.

  • 485 bundled files

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

  • Open source

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

Installation

Install the Short Editing 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/Melvynx/video-agent-skills/tree/main/skills/short-editing
  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/Melvynx/video-agent-skills.git /tmp/video-agent-skills
mkdir -p .claude/skills
cp -r /tmp/video-agent-skills/skills/short-editing .claude/skills/short-editing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Short Editing 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 Short Editing 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 Short Editing 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.

Short Editing

One raw take in, one finished video out: video-agent/edits/short-<slug>/output/short-<slug>.mp4.

The engine ships in this skill folder (<skill> below): <skill>/engine/short.mjs. It is a deterministic canvas renderer driven by ONE file per short, source/spec.js. The design is a paper stage on top and the camera below, one accent color, springs that never overshoot, no pulse, no bounce. Everything runs on the creator's computer, macOS, Windows or Linux: Node 20+, ffmpeg, a Chrome (or the headless Chromium setup installs), whisper.cpp.

Read before writing a spec:

How to run it

  • Talk in the creator's language (creator.lang of the style, else video-agent/voice.md, else English). Say in one line what each long step does and how long it takes.
  • <slug>: lowercase, dashes, no dots or spaces.
  • Every command runs from the project root (the folder that holds video-agent/).

0. Setup (first time only, then a 1 s check)

bash
node <skill>/engine/setup.mjs --check || node <skill>/engine/setup.mjs

It installs what is missing: the engine packages (15 MB), a Chromium when no Chrome is installed (100 MB), whisper.cpp and its speech model (0.5 GB, once), the 8 music beds and the icons (generated on this computer). Tell them the first run takes 3 to 6 minutes. ffmpeg missing: it prints the command to install it (brew install ffmpeg, winget install Gyan.FFmpeg); run it with their ok, then setup again.

1. The take

Use the file they name, else the newest file in video-agent/takes/. A URL (YouTube, X, Instagram, Loom, a direct mp4): yt-dlp -f "bv*+ba/b" --merge-output-format mp4 -o "video-agent/takes/<slug>.%(ext)s" "<url>" first.

bash
ffprobe -v error -show_entries format=duration:stream=codec_type,width,height -of compact "<take>"

No audio stream: stop and say so. Then create the project:

bash
node <skill>/engine/short.mjs init video-agent/edits/short-<slug> --source "<take>" [--style <name>]
  • The style: style <name> in the request = video-agent/styles/<name>/style.json, passed as --style <name> (only when that folder exists: an unknown name stops init, so list video-agent/styles/ instead). Without it, init takes the default one (video-agent/style.json names it). No style at all: first write video-agent/styles/default/style.json = {"version": 1, "name": "default"} plus the style of the default look of <skill>/assets/looks.json (system font, camera full width, mono caps captions on a black band), and video-agent/style.json = {"default": "default"}, then say once that /studio-setup style makes it theirs in 2 minutes.
  • init makes assets/ files/ source/ output/ stills/, copies the take to assets/source.mp4, frames cam on the face, writes the starter source/spec.js and snapshots the style into source/style.json (engine defaults < style < spec: the spec only sets what differs for this one short). The style's assets/ (logos, images) are copied into the project.
  • Format: 9:16 by default. 1:1 = format: 'square' (X feed), 16:9 = format: 'wide' in the spec.

2. Words

bash
node <skill>/engine/short.mjs words video-agent/edits/short-<slug> [lang]

whisper.cpp on this computer, about real time (a 60 s take, about a minute), free. With an ElevenLabs key (ELEVENLABS_API_KEY= or ELEVEN_KEY= in video-agent/.env, the project .env or the environment), ElevenLabs Scribe instead, on its own: it hears every retake and false start that whisper smooths over, and names; a few cents a take. Recommend it once when a take has retakes. Never ask for a key in chat, never print one.

Then prepare (step 4) once: it writes files/words.md, every word with its SOURCE time and the SHORT time it lands on after the cuts. Fix misheard words from the script with captions.replace: [['clics cloud', 'skills Claude']], never by editing the times.

3. The spec

Author source/spec.js from files/words.md. All times are SOURCE seconds; the engine maps them onto the tightened cut. Start from the starter spec init wrote, and from the closest example.

Plan the beats first, in a comment block at the top of the spec:

  • Hook (first 2 s): readable on the first frame, never blank paper at t=0. It adds to the spoken hook, never repeats it.
  • Something changes every 2 to 4 s: a new board, a counter that counts, a terminal that types, a logo that lands, a line struck. Each on the exact word it illustrates (at = that word's source time).
  • Pick the item from what is said (all in scene-library): a figure = counter (countFrom/countTo, strikeAt when it dies); a command or a prompt = term (typeFrom, typeTo, out lines); a folder or a list of parts = tree; a tool named = its real logo; a result = check; a real screen = screen (zoom keys + rings on the number they read); a tweet = tweet; before / after = two boards or bars; the big payoff = stat or a board with one huge text and an emph word.
  • Camera: layout.keys: [[t, seam]], seam 1160 = split (paper above, camera card below), 1920 = paper alone, 0 = full camera. Full camera only for the direct lines (a story, a reaction, the CTA) and for 5 s or more of SHORT time; a style with a fixed layout.seam keeps that one size all along.
  • Every beat is an action, never an image sitting there. A software idea (source code, privacy, price, speed) is played in a recreated UI: code that scrolls then blacks out line by line, a lock that closes, a price that drops to 0 under a stamp. A platform named with a number is its real interface recreated and animated (the GitHub repo page, the stars curve settling on the real figure). Never a screenshot pasted as an image (even zoomed or circled), a lone logo, a text card or a still illustration: a screenshot is only a reference to rebuild in HTML.
  • The hook gets the most work: a 2 or 3 act mini story with a reversal, several layers moving together, an impact (stamp + thud) on each keyword, the payoff as a badge. For example: the big apps crush the viewer's app under a REPLACED stamp; on the turning word ("now") it flips, the viewer's app becomes the giant. A hook that places one object and slides it is not enough: rebuild it richer, never tweak it.
  • Motion components: what the library cannot draw well (a real app in its own UI, an Instagram comment sheet, a notification, a GitHub repo page, a software idea, the hook's mini story, an illustration that acts) becomes an HTML page with window.setT(t), captured into a clip (step 3b). The examples hold a dozen of them to copy.
  • Captions: on by default, on the seam. captions.emph = the words in the accent color, captions.hide: [[a, b]] over a board that carries the same words.
  • Music: one bed from music.md picked by the hook's emotion, music: { bed: '<id>', offset }. Never the same bed as the previous short.
  • Sound: sfx: { swish: 0, accents: 0, extra: [[t, 'thud', -6]] }: no movement noise, a thud or pop only on a real payoff. Bigger moments (the hook cut, the payoff, a shatter) take a bundled file from assets/sfx/ (zhhh, impact-boom, riser, glass-shatter...), all in references/sfx.md. Never generate a sound with ElevenLabs unless the creator asks for one the library lacks.
  • Real logos, always: every tool or app named on screen shows its real icon in assets/logos/<name>.png (the App Store icon, the official site or repo), never a letter glyph, never an emoji, never a look-alike. Download it into the project and say from where.
  • No em-dashes in any on-screen text.

3b. Motion components

One HTML file per component in source/<name>.html, 1080 wide (or the card size), every animation a pure function of t set by window.setT(t) (no CSS animation, no timers), transparent background for an overlay. See references/sub-agents.md for the page contract and the prompt to give a sub-agent (one per component, in parallel, when the harness has sub-agents; else build them one after the other). Capture:

bash
node <skill>/engine/short.mjs capture video-agent/edits/short-<slug> source/<name>.html --dur 4.5 --alpha --out assets/<name>.mov

Read its stills/<name>-sheet.jpg, then wire it: media: { x: { src: 'assets/<name>.mov', width: 1080, alpha: true } } plus an overlay scene (or an actor on the board), see examples/thinking-orbs/source/spec.js.

4. Prepare

bash
node <skill>/engine/short.mjs prepare video-agent/edits/short-<slug>

Cuts every micro silence, applies the speed (1.15 by default), splices the voice, extracts the camera and media frames (cached), writes assets/timeline.json and files/words.md. Rerun it after a change to cut, cam or media. cut: [[a, b]] (source time) drops a retake or a false start: walk the script, keep the last complete attempt of each line.

5. Stills, then critique (the main loop)

bash
node <skill>/engine/short.mjs stills video-agent/edits/short-<slug> 0.3 2.9s 6.4s 9s 12.9s

Plain numbers = SHORT time, an s suffix = SOURCE time. Take one still per beat (the moment it is complete), plus the hook and the last second. Read stills/contact.jpg, then zoom the full-size stills, and check the quality bar below. Fix the spec, stills again. Stills cost seconds, renders cost minutes: iterate here.

6. Render, sound, final

bash
node <skill>/engine/short.mjs all video-agent/edits/short-<slug>

Render + audio (ducked voice, music bed, SFX, mixed beside the render) + final (mux, poster, QC), all at once. On an Apple Silicon Mac a 36 s short takes about 5 s (the render alone about 4 s, 250 fps, WebCodecs H.264 inside Chrome with 2 workers); slower machines take longer, so run it in the background and say how long. After a sound change, rerun only audio and final. The QC line must read h264 1080 1920 (or 1080 1080, 1920 1080), a duration equal to the timeline, about -14 LUFS and a true peak at or under -1 dBTP (else mix: { ceil: -2.2 } in the spec, then audio and final again). Draft: render ... --scale .5.

Quality bar (every contact sheet)

  • The hook reads on the first frame.
  • Every beat acts. On each beat's still, ask « is something happening, or is it an image sitting there? ». A sitting image (a screenshot, a still illustration, a logo next to a counter, a text card) is a component to redo before rendering.
  • Every board fills the paper: big mobile text (nothing under 34 px, captions about 84 px), 1 to 3 lines, nothing cut at the edges, nothing in the safe zones of shorts-codes.md.
  • Captions never overlap a card, a CTA or a chat composer (captions.hide).
  • One accent color per moment; accent words only from captions.emph and emph.
  • Cards never change size; the camera card never resizes. A full-camera stretch lasts 5 s or more.
  • No ghost of the old beat under the new one, no counter parked on 0, no two values stacked in one slot.
  • Camera colors natural: bright warm skin, never grey or greenish (stills/grade.jpg).
  • Every named tool shows its real logo.
  • Sound: the voice on top, the bed breathing between sentences, hits only on real payoffs, no whooshes.

7. Deliver

In video-agent/edits/short-<slug>/output/: short-<slug>.mp4 and its poster. Then write next to them:

  • short-<slug>.srt: from files/words.md (the SHORT times), up to 7 words per cue, a new cue after each sentence.
  • post.md: the post copy (below).

Open the video so they watch it right away: open <mp4> (macOS), start "" "<mp4>" (Windows), xdg-open <mp4> (Linux). Say the length, what was cut, the bed and why, and offer one change ("another hook? a board on another word? full camera on the story?"). A change = edit spec.js, stills, all again. A change they want on every video (accent, font, captions, pace) goes in their style (video-agent/styles/<name>/style.json, schema in style-schema.md), not only in this spec. Next: /publish short-<slug>.

On their first finished video only (the only folder in video-agent/edits/), end with one line in their language: a one-minute review of the free pack helps make it better, https://codelynx.dev/editing/feedbacks. Never again after that.

Post copy

post.md, from the script and voice.md, in the language of the video:

  • Title (YouTube Shorts): under 60 characters, the topic in the first 3 words.
  • Caption: the first 125 characters work on their own. Then 1 or 2 short lines and one ask (the CTA of the style).
  • Search words: the 2 or 3 words their viewer would type, written plainly in the title or the first line.
  • Hashtags: 3 to 5 about the topic. No #fyp or #viral.
  • Nothing the video doesn't say.

Run the humanize pass of studio-script (its references/humanize.md) on it when that skill is installed.

CapCut or Premiere

Some creators prefer their editor. Do steps 0 to 4 (the spec with no scenes), then give them files/words.md (the cut, word by word) and the plain cut: node <skill>/engine/short.mjs rough video-agent/edits/short-<slug> writes output/short-<slug>-rough.mp4 (every silence cut, full frame, no motion design) to import, with the .srt of step 7.

Paper-only (no take)

silent: true and duration: <s> in the spec, init without --source, skip step 2. No voice, camera or captions; the music and the on-screen text carry it, same pace rule.

Honest limits

  • whisper.cpp mishears names and jargon: fix them with captions.replace, check numbers by eye.
  • A cut can clip a breath or a soft last syllable: watch the result once before posting.
  • Claude cannot hear the take: it trusts the timings. Bad audio (music, echo, two voices) makes them worse.
  • Face framing is exact on macOS (Apple Vision); on Windows and Linux it uses MediaPipe in Chrome, check cam on the first still.
  • The review studio, the Recorder, the B-roll library, the faceless mascot and the thumbnails come with the paid kit, Editing IA Pro.

Bundled files

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

and 140 more files.

Frequently asked questions

What does the Short Editing AI skill do?

Edits a talking-head take end to end into a paper-style motion design short (1080x1920, also 1:1 and 16:9) with its own render engine (Node + Chrome + ffmpeg, free, offline). Use when the user says edit, cut, captions, subtitles, motion design, montage, "make it a short", render, or gives a recording from video-agent/takes/. Transcribes locally with word timings (whisper.cpp, or ElevenLabs when a key is set), cuts every silence, lays the boards on a textured paper above the camera card (counters, terminals, logos, trees, real screens, HTML motion components), word-by-word captions, a calm m...

Why use Short Editing on TypingMind?

Because you install it once and use it with any model. Short Editing 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 Short Editing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Melvynx/video-agent-skills/tree/main/skills/short-editing. 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 Short Editing?

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 Short Editing?

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

Is the Short Editing AI skill free?

Yes. It is published on GitHub by Melvynx 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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