複数の独立したローカル作業を安全性と依存関係を確認して実行計画にまとめ、対応環境では並列化やAppleシリコン向け処理の選択を支援します。
- ビルドやテストの独立した処理を並列化したいとき
- 複数段階の作業計画を安全に実行したいとき
- Appleシリコン向け処理の候補を確認したいとき
TikTokやMeta向けの商品広告動画を企画し、商品情報や予算に合わせて構成・台本・制作方法を整え、媒体ルールを踏まえた複数案まで用意するスキルです。
Ecommerce video ad skills for Claude Code and AI agents: plans and makes short product videos that sell on TikTok, TikTok Shop, Instagram Reels and Meta ads, with AI or real footage. Asks the four questions that change the rules (where it runs, product facts, assets, budget), picks angle, hook, format and on-camera character, writes a second-by-second script, keeps the real product identical in AI shots, applies platform rules (AI labels, TikTok Shop bans on AI voices, slideshows and price mentions, the FTC fake-testimonial rule, music licensing), quotes cost before generating and plans different-concept variants. Use when someone wants a viral TikTok, Reels or TikTok Shop video for a product, ecommerce ad creatives or "10 ads for my product". Hands off to product-video-hooks, tiktok-shop-video, ai-ugc-ad-video, product-photo-to-video, ad-creative-testing and ecommerce-video-edit. NOT for app launch videos, music videos or brand films with nothing to sell.
実行スコア 未検証
インストール方法を見る商品を販売する短尺動画広告について、配信先、商品情報、手元の素材、予算を確認し、購入者・悩み・約束を組み合わせた訴求軸を決めます。冒頭のフック、動画形式、出演者、秒ごとの台本を組み立て、実写素材や商品写真、AI出演者など、条件に合う制作方法へつなぎます。AI生成映像では実物の商品写真を基準に形や色、ラベルを保ち、プラットフォームごとのAI表示、音声、価格、音楽などのルールも確認します。生成前に費用を見積もり、異なる切り口の広告案を用意します。
TikTok、TikTok Shop、Instagram Reels、Meta広告で商品を紹介したいときや、広告の台本と撮影内容をまとめたいときに向いています。素材や予算が限られる場合も、手元にあるものに応じた制作ルートを選べます。
動画生成にはvarg MCP接続またはVARG_API_KEYが必要です。編集にはローカルのffmpegまたはvargの編集ツールを使います。TikTok ShopではAI音声の出演者や静止画スライドショーが禁止されるなど、媒体ごとに制約があります。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Make short product videos that stop the scroll and sell: TikTok, TikTok Shop, Instagram Reels and Meta ads. This skill is the plan and the rules. The sibling skills do each part.
Cost gate. Nothing is generated before the person has seen an estimate (estimate_cost on the varg MCP, or POST /v2/estimate) and said yes. Quote credits (1 credit = 1 cent). Draft cheap first: stills, kling_v4_flash or seedance_2_fast_preview, 480–720p. Spend on full models only for concepts the person approved.
Agents fail here in both directions: a wall of 15 questions, or invented product facts. Ask exactly these, in one message, then state what you assumed for everything else:
Defaults when unanswered: 9:16 1080×1920, 15–25 s, hook in the first 2 s, burned-in captions, licensed music or none, AI people labelled, 3 different concepts.
An angle = buyer × problem × promise. Mine it from the buyer's own words (reviews, comments, Reddit), not from adjectives. Write one line per angle: "Women 50+ whose knees crack on the stairs → a sleeve that lets them climb without thinking". Then:
Details and casting by category: references/characters.md.
Hook (0–3 s): the product or the result on screen, the promise said out loud and written as text, all three agreeing. TikTok: value in 3 s, hook done by 6 s (90% of ad recall happens in the first 6 s). Meta: brand and message within 5 s gives 1.7× the purchase intent, and a hook in both picture and sound gives 1.5×. The hook must lead into the product. Bank of 60+ openers by type: product-video-hooks.
Format: choose from references/formats.md. Start with what wins most often: unboxing (9.8% hit rate on Meta, yet only 2% of what brands make), hands-on demo (8.1%), problem and fix in one clip (the top TikTok Shop structure), yapper (one person talking to camera, unpolished), street interview, podcast clip, us vs them on ONE attribute.
Structure (15–30 s):
| Time | Beat | On screen |
|---|---|---|
| 0–3 s | Hook | Product or result in frame from the first second, line spoken + written |
| 3–6 s | Bridge | The hook turns into the product: "this is why…" |
| 6–20 s | Demo | The product working in a real setting, shown more than once, 1–3 benefits, one specific number |
| 20–26 s | Proof | A real review, a real result, a count ("2,100 reviews") |
| last 3–4 s | CTA | One action, said and shown ("tap the orange cart") |
Meta's Reels study (Meta + Toluna) behind this order: listing benefits 5.3×, brand on screen under 25% of the runtime 4.8×, product shown more than once 2.7×, native elements such as emoji 2.5×, speech plus music 2.1×, a spoken or on-screen CTA 1.9×. Text on screen: at most 5–10 words per second. Long education ads (90 s to 2 min) can carry big budgets, but the product must appear before the halfway point. More: references/structure.md.
| Rule | TikTok Shop video | TikTok ad | Meta ad |
|---|---|---|---|
| AI voice as the presenter | Banned | Label required | OK (auto "AI info") |
| Realistic AI people | High risk; needs a visible real person | Label (AIGC toggle) or rejected | Auto-labelled |
| Still-image slideshow | Banned (≥3 s moving footage, a person visible) | Weak | Allowed |
| Price or deal said in video | Must match the product page exactly, or a violation | Must match the landing page | Must match |
| Before/after | Typical results only; none for weight | No false-impression before/after | Cosmetics 18+, no weight loss |
| Music | Commercial Music Library | Commercial Music Library | Original audio or Meta Sound Collection |
| Near-duplicate reposts | Suppressed; 5+ low-quality Shop videos in 7 days hide links | Grouped | Grouped as one ad (Andromeda) |
Everywhere: never write a first-person testimonial for an AI person ("I used this for two weeks…"). The FTC rule bans fake testimonials, AI ones included, at about $51,744 per violation. New York has required a conspicuous synthetic-performer disclosure in ads since 9 June 2026. An AI presenter may demo and state facts; results and reviews must be real. Full table with sources: references/platform-rules.md.
Route by what the person has:
| They have | Route | Skill |
|---|---|---|
| Real footage | Recut hook-first, captions, CTA, variants | ecommerce-video-edit |
| Product photos only, no person needed | Product shots: ASMR, unboxing hands, in use, macro | product-photo-to-video |
| Product photos, want a person | AI actor UGC (not for TikTok Shop) | ai-ugc-ad-video |
| A TikTok Shop listing | Shop-compliant script and shot list, real presenter | tiktok-shop-video |
| A winning ad | New hooks on the same body, new concepts | ad-creative-testing |
| A competitor's viral video | Copy the structure, never the footage or actor | remake-reference how-to on varg how to |
| A viral-style hook clip from photos | Backyard-camera fail, torture test, problem → solution as phone footage | varg-product-hook |
| A faceless dropshipping "guide" reel | Product, cost vs price on a laptop, steps, "Comment GUIDE" | varg-dropship-reel |
Product fidelity (non-negotiable): start every shot from the real product photo, never from text. Keep clips at 5 s or less with a slow or locked camera ("no fast spins, that's where products melt"). Spell the label text out in the prompt. Composite the real cutout or logo back onto hero shots. Reject any clip whose silhouette, label text, colour or part count differs from the photo.
Character lock: one identity sheet, the same reference on every shot, one video model per character (no model-hopping between shots), one voice, the exact transcript with the audio.
No video tool? Never ship a Ken Burns slideshow with a robot voice as the ad. Deliver the script, a shot list and a 5-shot phone filming checklist, and label any FFmpeg animatic as a placeholder.
Models on varg (prices only from estimate_cost): stills nano_banana_2_1 / gpt_image_2_5; product in hand bria_fibo_edit_1_5_product_holding; clips seedance_2_5 (most real, ~3 tries per keeper), kling_v4 (cheaper, often right first time), kling_v4_flash for drafts, veo_3_1; presenter with speech in one call creatify_boreal; voice eleven_v4; lip-sync sync_v3. Pipelines and prompts: references/models-and-prompts.md.
ecommerce-video-edit §6).<product>_<angle>_<format>_<hook-id>_<creator>_<len>s_v<N>.mp4.ad-creative-testing.| Read | When |
|---|---|
| references/platform-rules.md | Before any script: TikTok Shop, TikTok ads, Meta, FTC, NY, music, with sources |
| references/formats.md | Choosing the format: 30 named formats, when each works |
| references/characters.md | Casting the person on camera, by category and claim |
| references/structure.md | Second-by-second templates: TikTok Shop 18 s, UGC 15 s, yapper, VSL |
| references/models-and-prompts.md | Pipelines, varg model ids, copyable prompts |
| references/questions.md | The 25 questions sellers ask most, answered |
| references/sources.md | Where every number comes from |
まだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
複数の独立したローカル作業を安全性と依存関係を確認して実行計画にまとめ、対応環境では並列化やAppleシリコン向け処理の選択を支援します。
TikTokやMeta広告の勝ちパターンを分解し、異なる切り口のテスト案や予算、評価時期を整理して、数値から継続・修正・停止を判断するスキルです。
将来の読み手が理由を知りたくなる未決定や暫定対応を、技術的負債として登録し、後から項目ごとに整理できるスキルです。
LangChain、EINO、AutoGen、AgentScope、CrewAI向けのコード雛形やAPI対応、プロジェクト構成を参照し、バージョン確認を踏まえてAIエージェント開発を支援します。
エラーやテスト失敗、画面の異常などを再現して原因を特定し、テストで確認しながら影響を絞った修正を進めるデバッグ用スキルです。
対話を通じてAI Agentの要件整理から設計、ツール定義、コード生成、動作確認まで6段階で進め、実行可能なプロジェクトを作ります。