Tiktok Launch Video logo

Tiktok Launch Video

Organization
cognyai
tiktok-launch-video

Produce a 9:16 TikTok-native launch video for a product, feature, or campaign using HyperFrames. Idiomatic TikTok pacing, burned-in captions, hook-in-1s structure. Optionally hand off to TikTok Ads to launch as a Spark/in-feed ad.

Overview

Publishercognyai
Repositoryclaude-code-marketing-skills
Skill nametiktok-launch-video
Stars
111
Forks
15
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Tiktok Launch 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/cognyai/claude-code-marketing-skills/tree/main/skills/tiktok-launch-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/cognyai/claude-code-marketing-skills.git /tmp/claude-code-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-marketing-skills/skills/tiktok-launch-video .claude/skills/tiktok-launch-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tiktok Launch 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 Tiktok Launch 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 Tiktok Launch 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.

TikTok Launch Video

Produce a TikTok-native launch video using HyperFrames — programmatic HTML/CSS video, deterministic, agent-friendly.

This skill is opinionated: it forces the TikTok grammar (9:16, hook < 1s, burned-in captions, fast cuts, native text overlays) instead of porting a 16:9 landscape video to vertical.

Works with

Making the video needs no accounts. Publishing is optional, and every publish call asks first.

JobPrimaryAlso answers itWhat differs
Run as an in-feed adTikTok Ads (upload + create, all DISABLE)—Needs the MP4 at a public URL (≤ 500 MB)
Boost an organic post (Spark Ad)TikTok Ads tool_list_authorized_posts / tool_authorize_spark_post—Uses the creator's existing post, so it keeps its likes and comments
Post organicallyTikTok app (no API)X Organic9:16 works on X too; confirm the text first, it posts at once

Usage

/tiktok-launch-video https://example.com/launch — pulls context from a launch page /tiktok-launch-video "we're shipping AI brand guardrails for marketers" — short brief /tiktok-launch-video — interview the user

Prerequisites

Run once on this machine:

bash
node --version            # ≥ 22
ffmpeg -version | head -1 # ≥ 6

If either fails, ask the user to install Node 22+ and FFmpeg before continuing.

Steps

1. Gather product context

Try sources in this order — stop at the first one that gives you enough to write the script. Don't redo work the user has already done.

1a. Local file — read .agents/product-marketing-context.md or .claude/product-marketing-context.md if present.

1b. Cogny MCP context tree — if the cogny MCP server is connected (check via tools — mcp__cogny__get_context_tree_overview or any mcp__cogny__* tool), query it:

mcp__cogny__get_context_tree_overview          # see what's documented
mcp__cogny__search_context query="<product>"   # pull customer / pricing / positioning nodes
mcp__cogny__read_context_node node_id="…"      # drill into the most relevant nodes

The context tree usually contains things public scraping can't: real customer names, ICP, pricing tiers, current quarter goals, what's been launched recently, what's on the roadmap. Check it before falling back to web scraping.

1c. Public web — if a URL was passed and 1a/1b didn't give you enough, WebFetch the page and extract product name, value prop, core benefit, target user, one concrete proof point.

1d. User brief — if a short brief was passed, use it directly.

After 1a–1d, ask the user only for what's still missing from the TikTok hook checklist below.

TikTok hook checklist (what you actually need before you can write the script):

  1. Who is the target viewer in 5 words? (e.g. "B2B marketers running paid ads")
  2. What pattern interrupt opens the video? (POV, reveal, contrarian claim, demo flash, "wait for it")
  3. What's the one claim or moment that makes someone stop scrolling?
  4. What's the proof? (a number, a screenshot, a customer name, a before/after)
  5. What's the CTA? (link in bio, comment a keyword, search the product, follow)

Don't proceed without all five. If you're guessing, ask.

1.5 Capture brand identity

Make this look like the user's brand, not a stock template. Ask for one of:

  • A site URL (we'll extract colors / fonts / voice from the page)
  • A repo path containing tailwind.config.* or globals.css with CSS variables
  • An existing brand-kit.json (.agents/brand-kit.json / .claude/brand-kit.json / project root)
  • Manual input: 3 hex colors (background, text, primary) + a font family + a one-sentence voice description

Produce a brand-kit.json with at minimum: colors.background, colors.foreground, colors.primary, colors.accent, type.family, voice.register. Save it to the HyperFrames project root.

For full schema, extraction patterns, and voice → composition mapping see references/brand-identity.md.

The composition template reads these as CSS variables (--bg, --fg, --primary, --accent, --font-display) — so once the kit is wired, the same template renders on-brand for any user.

2. Pick the idiomatic format

Don't invent a format. Pick one of these — all are proven on TikTok and map cleanly to HyperFrames:

FormatWhen to useStructure
POVRelatable role-based pain"POV: you're a [role]" → pain → punchline reveal of product
Build-in-publicFounder/early launches"I built X in Y days because Z" → quick demo → result
Contrarian takeStrong opinion, category creation"Everyone says X. They're wrong because Y" → demo
Before / AfterWorkflow improvement"This used to take 4 hours" → cut → "Now it takes 30 seconds"
List-teaseMulti-feature reveal"3 things [tool] does that no one talks about" → 1, 2, 3 → CTA

Pick one. Confirm with the user before writing.

3. Write the script (TikTok grammar)

Write a beat sheet, not prose. Each beat is one card or moment. Constraints:

  • Total length: 9–22 seconds. Default to 15s unless the user explicitly wants longer.
  • Beat 1 (0.0–1.0s): Hook. Big text. No logo. No intro. The viewer must not swipe.
  • Beats 2–N: ~1.0–2.5s each. Every beat earns its time or gets cut.
  • Final beat (last 1.5–2s): CTA. Concrete verb. Not "learn more" — "Search [name] on TikTok", "Comment WAITLIST", "Tap the link".
  • Captions: Every spoken word is burned in as text. Max 6 words per caption card.
  • Voice / register: First person, conversational, no marketing voice. Read it out loud — if it sounds like a press release, rewrite.

Hand the beat sheet back to the user and wait for confirmation before composing. One round of revisions is normal.

4. Scaffold the HyperFrames project

Use the CLI. Don't try to handcraft package.json.

bash
# In the user's working directory, or a videos/ subdirectory if they prefer
npx -y hyperframes@latest init <product-slug>-tiktok --non-interactive --resolution portrait
cd <product-slug>-tiktok

There is no --yes flag; --non-interactive disables the prompts and --resolution portrait sets 1080×1920. This creates index.html, meta.json, hyperframes.json, plus CLAUDE.md / AGENTS.md with framework rules. Read CLAUDE.md once — it documents the data-* attribute conventions and the window.__timelines registration this skill depends on.

5. Compose the video (9:16, kinetic)

Edit index.html to be a 1080×1920 composition. The pattern below is the minimum viable TikTok-native composition — adapt the copy, keep the structure.

Key rules (these come from HyperFrames, do not skip):

  • Every timed element needs class="clip" plus data-start, data-duration, data-track-index.
  • The composition root has data-composition-id, data-width, data-height, data-duration.
  • Animations go on a paused GSAP timeline registered as window.__timelines["<composition-id>"].
  • No Date.now(), no Math.random(), no fetch() — renders must be deterministic.

Reference composition: see references/composition-template.html.

A few TikTok-specific styling rules to follow:

  • Type: 110–160px for hooks, 70–90px for body captions. Bold, tight letter-spacing.
  • Safe area: keep the bottom 320px and top 220px clear — that's where TikTok's UI sits.
  • Color: high contrast. Black background + white text + one accent (cyan, lime, or magenta). Avoid pastels.
  • Motion: every card enters with a 0.25–0.4s y or scale tween. Cuts are hard, not crossfades.
  • No stock footage feel: if the script calls for "demo", capture the actual product UI (hyperframes capture <url>) and crop into the 9:16 frame instead of using a generic stock clip.

6. Lint

bash
npx hyperframes lint

Fix every error. Warnings are usually safe but read them.

7. Render

Check dependencies first:

bash
npx hyperframes doctor

If it reports FFmpeg missing, stop before rendering and tell the user to install it (brew install ffmpeg on macOS, sudo apt install ffmpeg on Debian/Ubuntu). Meanwhile, npx hyperframes snapshot captures key frames as PNGs without FFmpeg, so they can review the cards.

bash
npx hyperframes render --output launch.mp4

A 15s composition typically renders in 30–90 seconds depending on the machine. Output is H.264 MP4, 1080×1920, 30fps.

8. Sanity-check before declaring done

Open the file, scrub through it once. Then check:

  • Hook is fully visible by 0.8s?
  • Captions readable at the size they'll be viewed (phone, no sound)?
  • Nothing important in the bottom 320px?
  • CTA is on screen for ≥ 1.5s at the end?
  • Total length between 9 and 22 seconds?

If any check fails, edit and re-render. Do not ship a video that fails any of the above.

9. (Optional) Hand off to TikTok Ads

If the user wants to run this as a paid in-feed ad (not an organic post), use the TikTok Ads MCP to set up the campaign skeleton. Don't auto-launch.

The MP4 must be at a public URL. On Cloud, call mcp__cogny__mcp__cogny-image-gen__tool_request_upload_url and run the returned curl to get a public_url (asks first); otherwise ask the user for a hosted link. Then, after the user approves each write:

mcp__cogny__mcp__TikTok_Ads__tool_list_advertisers                      # note currency
mcp__cogny__mcp__TikTok_Ads__tool_get_pixels(advertiser_id)              # confirm tracking
mcp__cogny__mcp__TikTok_Ads__tool_create_campaign(advertiser_id, campaign_name, objective_type: "TRAFFIC" | "VIDEO_VIEWS", budget: <user-stated>, budget_mode: "BUDGET_MODE_DAY", operation_status: "DISABLE")
mcp__cogny__mcp__TikTok_Ads__tool_create_ad_group(advertiser_id, campaign_id, adgroup_name, promotion_type: "WEBSITE", placement_type: "PLACEMENT_TYPE_NORMAL", placements: "PLACEMENT_TIKTOK", ...)
mcp__cogny__mcp__TikTok_Ads__tool_upload_video(advertiser_id, file_url: "<public MP4 URL>")   # returns video_id
mcp__cogny__mcp__TikTok_Ads__tool_create_ad(advertiser_id, adgroup_id, ad_name, ad_format: "SINGLE_VIDEO", video_id, ad_text, landing_page_url, call_to_action, identity_type, identity_id, operation_status: "DISABLE")

Get identity_id from tool_list_identities. For a Spark Ad instead, pass tiktok_item_id (from tool_list_authorized_posts, or after tool_authorize_spark_post(advertiser_id, auth_code)) in place of video_id.

All entities should be created DISABLE. Print a summary and tell the user exactly which IDs to enable in TikTok Ads Manager once they've reviewed the creative.

For organic posting: just hand them launch.mp4 and tell them to upload via the TikTok app (organic uploads are not API-supported). If X Organic is connected, offer mcp__cogny__mcp__X_Organic__tool_upload_media(file_url) then tool_create_post(text, media_ids); it posts publicly at once, so confirm the text first.

Output format

When you finish, print:

  1. Path to the rendered MP4
  2. The beat sheet you used (so the user can iterate)
  3. One-line summary of length, format chosen, and aspect ratio
  4. (If applicable) the TikTok Ads campaign / ad group / ad IDs created in DISABLE state

Common mistakes

  1. 16:9 footage stretched to 9:16 — re-shoot or use HyperFrames overlays. Don't stretch.
  2. Logo intro — TikTok punishes anything that looks like a TV ad. The hook is the first frame.
  3. Voiceover with no captions — 80%+ of TikTok is watched muted. Captions or it doesn't exist.
  4. Generic CTA — "learn more" never works on TikTok. Tell the viewer the exact next action.
  5. Over-rendering — 4K output makes no difference; TikTok recompresses to ~720p anyway.
  6. Putting the CTA only at the end — half of viewers are gone by then. Restate the offer at ~60% of runtime too.

Related

  • /reddit-launch-video — same pattern for Reddit's idiomatic format
  • /linkedin-launch-video — same pattern for LinkedIn
  • /video-to-gif — convert the rendered MP4 into a feed-ready GIF
  • /ad-copy-writer — generate the headline / caption that ships with the video

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 Tiktok Launch Video AI skill do?

Produce a 9:16 TikTok-native launch video for a product, feature, or campaign using HyperFrames. Idiomatic TikTok pacing, burned-in captions, hook-in-1s structure. Optionally hand off to TikTok Ads to launch as a Spark/in-feed ad.

Why use Tiktok Launch Video on TypingMind?

Because you install it once and use it with any model. Tiktok Launch 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 Tiktok Launch Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cognyai/claude-code-marketing-skills/tree/main/skills/tiktok-launch-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 Tiktok Launch 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 Tiktok Launch Video?

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

Is the Tiktok Launch Video AI skill free?

It is published on GitHub by cognyai. 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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