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Make A Video

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nateherkai
make-a-video

Beginner-friendly end-to-end video creator for HyperFrames. Use when the user says "make a video", "create a video", "new video", "build a video", "video from scratch", "I want to make a video", "help me create a video", or when someone who's never used HyperFrames before arrives with a concept, script, or rough idea and wants a finished MP4. Interviews the user in one pass, then builds the full video with mandatory preview and visual-verification gates.

Overview

Publishernateherkai
Repositoryhyperframes-student-kit
Skill namemake-a-video
Stars
1.3K
Forks
388
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Make A Video 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/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/make-a-video
  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/nateherkai/hyperframes-student-kit.git /tmp/hyperframes-student-kit
mkdir -p .claude/skills
cp -r /tmp/hyperframes-student-kit/.agents/skills/make-a-video .claude/skills/make-a-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Make A Video 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 Make A Video 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 Make A Video 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.

Make a Video — The Beginner-to-Finished-MP4 Skill

Two phases, eight sequential gates. Every gate produces a concrete artifact the next gate consumes. Don't skip gates.

When to use this skill — and when to hand off

Use this skill when:

  • The user is new to HyperFrames and starting from a concept, script, or outline
  • They want an end-to-end walkthrough, not framework reference material
  • They haven't decided on format yet

Hand off when:

  • The user pastes a URL and wants a video from that site → invoke /website-to-hyperframes
  • The user explicitly wants a 9:16 vertical talking-head with face-cam + scene overlays → run Gates 1–4 here, then invoke /short-form-edit from Gate 5 onward
  • The user asks for framework rules, not a video → invoke /hyperframes

The two phases

  • Phase 1 — INTERVIEW (Gates 1–4): one conversational pass to gather everything before touching code. Intent, format, script, voice, style, assets, pacing. Synthesize into a BRIEF.md and wait for explicit approval.
  • Phase 2 — BUILD (Gates 5–8): scaffold → storyboard → compositions → lint → Studio preview → draft render → visual verification → MP4 preview → final render.

Gate 1 · Intent & format

Ask one question at a time via AskUserQuestion, multiple-choice where possible.

  1. What's this video for? (promo · social ad · launch teaser · product demo · tutorial · explainer · intro/outro card · other)
  2. Who's the audience? (open-ended)
  3. Target duration? (10–20s short · 20–45s promo · 45–90s explainer · 1.5–3 min lesson · custom)
  4. Aspect ratio? (16:9 1920×1080 · 9:16 1080×1920 · 1:1 1080×1080)
  5. Frame rate? (30 default · 60 for crisp UI · 24 cinematic)
  6. Platform / delivery constraints? (file size · deadline · where it'll play)

Gate: all six captured. If the answer is 9:16 + face-cam, plan to hand off to /short-form-edit at Gate 5.

Full question bank: Read: references/interview-questions.md


Gate 2 · Script & voice

  1. Script source? (paste · outline → I'll draft · I'll record · TTS from text · no narration)
  2. If TTS: voice preference. Offer choices from npx hyperframes tts --help. Also capture pace.
  3. If face-cam: recording path · full-screen or corner placement · need transcription? (npx hyperframes transcribe <file> --model small.en --json)
  4. Captions? (off · hype · corporate · karaoke-word-by-word · minimal)

Gate: script captured (or drafted), audio plan captured, caption plan captured.


Gate 3 · Style intake

Before asking the user anything, inventory existing assets. Check <workspace-root>/assets/ and any project assets/ folder. Don't ask for what's already there.

Then ask progressively — they don't need answers to all of these:

  1. Style guide or brand doc? (paste/path · no)
  2. Color palette? (hex codes · none — use MOTION_PHILOSOPHY defaults)
  3. Fonts? (Google Fonts name(s) · file paths · none — use Inter + JetBrains Mono defaults)
  4. Logo file? (path · none — use text wordmark instead)
  5. Reference videos for vibe? (URLs/paths · none)
  6. Other assets? (screenshots · product photos · b-roll · music — list paths)
  7. MOTION_PHILOSOPHY aesthetic (black canvas · chrome type · perspective grid · whip transitions) or a different feel?
  8. Pacing? (kinetic 1–2s · balanced 2–3s · relaxed 3–5s)
  9. Music? (none · ambient pad 0.15 · music bed 0.4 · full 0.8 — file path if they have one)
  10. Outro / call-to-action text?

Never impose a brand on the user. Fall back to MOTION_PHILOSOPHY defaults only when they explicitly decline to supply a style.

Full style flow + MOTION_PHILOSOPHY defaults: Read: references/style-intake.md


Gate 4 · Brief synthesis (HARD-GATE before building)

  1. Read MOTION_PHILOSOPHY.md if it exists in the workspace root — mandatory if present. If missing, proceed with the defaults in references/style-intake.md and note the absence in the brief.
  2. Ask where projects live if it's not obvious:
    • If video-projects/ exists → use video-projects/<slug>/
    • Otherwise → ask the user
  3. Write <project-folder>/BRIEF.md:
    • slug · intent · audience · dimensions · fps · duration
    • script (full or outline)
    • voice choice · caption plan · face-cam plan
    • style profile: palette (hex), fonts, logo path, reference videos
    • pacing
    • asset inventory with paths
    • outro / CTA text
  4. Show the brief. WAIT for explicit approval. Don't proceed to Gate 5 without a clear "yes, build it."

Gate 5 · Scaffold & storyboard

Handoff check first

If the brief describes a 9:16 vertical talking-head with face-cam + scene overlays, invoke /short-form-edit NOW and hand off the brief. Its transcript-driven workflow covers hooks, cuts, captions, footage, and sound.

Otherwise continue:

Scaffold

  1. mkdir <project-folder>
  2. If a sibling project with similar format exists, offer to copy its hyperframes.json + meta.json as a template. Otherwise from inside the folder: npx hyperframes init
  3. Edit meta.json with the user's slug, dimensions, fps.
  4. Copy supplied assets into <project-folder>/assets/.
  5. Create <project-folder>/assets/style-profile.md from Gate 3 — single source of truth for palette/fonts/logo.

Storyboard

Generate <project-folder>/STORYBOARD.md using the template in references/storyboard-template.md. Every beat gets:

Beat N — TITLE (start–end, duration) — Concept in one sentence
Visual elements: [each element, size, animation, timing]
Motion language: [kind of motion]
Eases used: [3–4 distinct GSAP eases]
Exit: [transition into next beat]
Audio: [VO line / SFX / music layer]

Top of file: a timing table with scene · start · duration · composition file.

Propose a rule-of-threes structure:

  • Act 1 (hook) ≈ 20% of duration
  • Act 2 (body) ≈ 55%
  • Act 3 (payoff + outro with 4–6 second hold) ≈ 25%

(MOTION_PHILOSOPHY §0 Law 9, §1.)

Map user intents → catalog blocks: Read: references/catalog-intent-map.md

Gate: show storyboard + timing table. Iterate until the user approves.


Gate 6 · Build compositions

Invoke /hyperframes for framework rules. This skill owns the scaffold and discipline; /hyperframes enforces the rules.

Scaffold every sub-composition

html
<div data-composition-id="scene-name" data-start="..." data-duration="...">
  <style>[data-composition-id="scene-name"] { /* scoped */ }</style>
  <!-- DOM -->
  <script>
    (function(){
      const SLOT_DURATION = ...;
      const tl = gsap.timeline({ paused: true });
      // ... tweens ...
      tl.to({}, { duration: SLOT_DURATION }, 0);   // anchor — MOTION_PHILOSOPHY Law 11
      window.__timelines["scene-name"] = tl;
    })();
  </script>
</div>

Full boilerplate + captions pattern + ambient-bg pattern: Read: references/composition-scaffold.md

Build rules

  • Ambient background on data-track-index="0" for the full composition duration.
  • Kinetic-type openers: per-word stagger 0.06–0.10s.
  • Captions as body-level siblings of the root composition in index.html, each with data-track-index ≥ 20. Never inside scene timelines (MOTION_PHILOSOPHY §3.13).
  • Catalog blocks installed via npx hyperframes add <name>. Immediately scope the block's CSS to [data-composition-id="..."] — catalog blocks ship with html, body { ... } rules that bleed into the parent document when loaded as sub-compositions.
  • Vertical + face-cam: wrap native 1920×1080 face in a transform (translate + scale) for bottom-half or full-screen mode. (If you end up here instead of /short-form-edit, strongly consider the handoff.)
  • Apply ONLY what the user supplied. Their palette, their fonts, their logo. Don't inject anything else. If they chose MOTION_PHILOSOPHY defaults, pull the palette + font pair from references/style-intake.md.

Determinism

No Math.random(), no Date.now(), no render-time fetch(). Use seeded PRNGs or harmonic-sin hashes (MOTION_PHILOSOPHY §3.10).


Gate 7 · Lint → Studio preview (PREVIEW GATE 1 — MANDATORY)

  1. npx hyperframes lint — fix all errors, triage warnings.
  2. npx hyperframes preview in the background.
  3. Wait for "Studio running" on http://localhost:3002.
  4. Hand the user the URL plus individual composition URLs (http://localhost:3002/?comp=<id>). If the project has WebGL shader blocks, lead with the individual URLs — software WebGL fallback can stall the master composition.
  5. WAIT for explicit "looks good, render a draft" before proceeding. Silence is not approval.

Hot reload is on — edits show up live.


Gate 8 · Draft render → visual verification → MP4 preview → final

Draft render

bash
npx hyperframes render --quality draft --output renders/<slug>-draft.mp4

Visual verification (MANDATORY before delivery)

Lint passing ≠ design working. Extract frames and view them.

  1. mkdir -p renders/frames
  2. For every beat hero moment AND every transition:
    bash
    ffmpeg -y -ss <t> -i renders/<slug>-draft.mp4 -frames:v 1 -q:v 2 renders/frames/t<t>.png
  3. Call the Read tool on every PNG. The Read tool loads the image into context — don't just list filenames.
  4. Confirm per frame: no cropped faces, correct face-mode per scene, text readable and on-palette, no overflow, transitions land on intended words, no blank frames.
  5. If anything's wrong: fix → re-render → re-verify. Never ship a broken draft.

MP4 preview (PREVIEW GATE 2 — MANDATORY)

bash
npx serve renders -p 8080 -n

Do NOT use Python's http.server — it doesn't support HTTP Range requests, so scrubbing breaks.

Hand the user http://localhost:8080/<slug>-draft.mp4. WAIT for explicit sign-off on playback and audio sync.

Final render

bash
npx hyperframes render --quality standard --output renders/<slug>-final.mp4

Report the output path. Done.

Full preflight + pre-delivery checklist: Read: references/build-checklist.md


Non-negotiables (load-bearing — do not soften)

  • DO NOT skip PREVIEW GATE 1 (Studio) or PREVIEW GATE 2 (rendered MP4). Two gates per build, always.
  • DO NOT claim a render is done until frames have been extracted AND Read via the Read tool.
  • DO NOT build anywhere but inside a dedicated project folder. Never put index.html at the workspace root.
  • DO NOT ask the user for assets before inventorying their workspace.
  • DO NOT skip the tl.to({}, { duration: SLOT_DURATION }, 0) anchor tween at the end of every sub-composition timeline. MOTION_PHILOSOPHY Law 11.
  • DO NOT use Math.random() / Date.now() inside render logic. Seeded hashes only.
  • DO NOT add class="clip" to <video> tags. It breaks them.
  • DO NOT impose a brand on the user. Ask first; fall back to MOTION_PHILOSOPHY defaults only when they explicitly decline.

References

  • references/interview-questions.md — full question bank by Gate
  • references/style-intake.md — style interview + MOTION_PHILOSOPHY defaults
  • references/catalog-intent-map.md — "user says X → install Y"
  • references/storyboard-template.md — beat-by-beat template + worked example
  • references/composition-scaffold.md — scoped-styles + IIFE GSAP boilerplate
  • references/build-checklist.md — preflight + pre-delivery gates

External (workspace-level):

  • MOTION_PHILOSOPHY.md — the one external reference this skill assumes exists. Aesthetic baseline. Fallback lives in references/style-intake.md if the file is missing.

Related skills

  • /hyperframes — framework rules, invoke at Gate 6
  • /hyperframes-cli — init · lint · preview · render · transcribe · tts
  • /hyperframes-registry — installing catalog blocks
  • /gsap — GSAP animation reference
  • /short-form-edit — hand off at Gate 5 for 9:16 talking-head format
  • /website-to-hyperframes — hand off at Gate 1 if the starting input is a URL

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 Make A Video AI skill do?

Beginner-friendly end-to-end video creator for HyperFrames. Use when the user says "make a video", "create a video", "new video", "build a video", "video from scratch", "I want to make a video", "help me create a video", or when someone who's never used HyperFrames before arrives with a concept, script, or rough idea and wants a finished MP4. Interviews the user in one pass, then builds the full video with mandatory preview and visual-verification gates.

Why use Make A Video on TypingMind?

Because you install it once and use it with any model. Make A Video 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 Make A Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/make-a-video. 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 Make A Video?

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 Make A Video?

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

Is the Make A Video AI skill free?

It is published on GitHub by nateherkai. Check the repository for licensing terms. 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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