資料には具体的なスキルの内容や手順が記載されていないため、用途や得られる結果を特定できません。
- 用途を確認したいとき
- 入力や手順を確認したいとき
- 期待する結果を確認したいとき
商品情報や実物写真を根拠に、参考動画の形式と音を保った広告動画を制作し、素材の承認から完成映像の確認まで進めます。
Create a custom video with sourced product accuracy, explicit sound routing and exact-final audiovisual review.
実行スコア 未検証
インストール方法を見る参考動画の動きや構成、音の種類を確認したうえで、商品やサービスを紹介するカスタム動画を作ります。台本は write-video-ad-script を使い、商品形状・色・ラベル・用途・大きさはブランド情報や実際の写真を根拠にします。台本、使用素材、予算を提示して承認を得てから制作し、生成した各クリップを確認してから最終動画に組み立てます。完成版は実際に再生して音と映像を確認し、問題があれば修正します。
既存の動画を参考に広告を作りたいときや、商品を正確に見せながら、制作費や素材を確認して進めたいときに向いています。話者の映像と音声の同期、商品ラベルの崩れなどもレビュー対象になります。
商品の選択と台本・素材・予算の承認が必要です。必要に応じて生成動画などの有料素材を使い、料金は承認前に提示します。完成形式はH.264/AACのMP4です。
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。
The owner approves script, then ingredients and budget here; cards and Studio are optional. Keep reference format, product and sound. GooseWorks checks the final.
Read one file per call; if output says truncated, re-read in parts. Fetch make-custom-video here; inspect live schemas before writes. Keep this environment; no retired actions or reference-as-final import.
Fetch video-production-harness with catalog_fetch delivery archive; read SKILL.md and phase references; keep version/contentHash/files. Incomplete packages block work. Resume jobs with video_read; never resend instead of polling. Custom skips styles. Ask which product or service to advertise; wait even with one saved. A brand name is not a product choice. Reuse an explicit pick or request for none. With a reference, video_create once with style custom, request (the owner's own words), reference_url and a UUID idempotency_key reused on retries. Without one, run video_references find with the request and products and show the list; the owner's pick goes to video_references pick, which creates the project. Never use a template demo as reference. Keep requested mechanics/assets/products/campaign. Resume the same project, plan_revision, approvals and production_manifest.
Read brand_read and knowledge_search. Source product geometry, colour, label, allowed use and scale; size-sensitive shots need dimensions or a known-scale photo. Never guess capacity or invent a real process. Save reference_observation bound to media_id/media_revision with duration, full coverage, audio_perception (listened, or measured from the server's sound profile), motion_perception (watched, or measured with the full reference_shots.py study as frame_study) and timed picture/audio findings. Skipping a reference needs the owner's brief-only user_quote. Save draft.creative_contract: speech_mode, soundtrack_modes, required_features, reference_map per scene (beat/action/proof/sound), sourced product_grounding, voice_plan and changes_from_reference. Native speech keeps source audio; external speech over a speaking face needs exact-audio lip sync. No detected words never authorizes mute. Match capture/finish to the brief/reference; phone texture only for phone footage. Read harness references/talking-actor.md for speaking people: three actor options when needed, then playable voice choices beside the selected actor. Compare the generated voice with its audition.
video_change needs expected_revision; put brand_context.digest in custom.draft.brand_context_digest; never author server context. Price paid requests free and read-only with data_price_provider (up to 20 per call; follow any price_unknown entry's next_step first). Save the shot_list with the script so the server prices Standard and Best, and put picture-upgrade money (about two pictures at high) in render_estimate.upgrade_allowance; it pays for no clip. Before each approval, paid batch or completion, run video_read with include ["blockers"] (free) and fix every blocking and must-fix finding in one pass; show ask ones with their cost. Show the full saved script, then the actual playable ingredients and exact cumulative budget, here. At the script, show both approval_quote.tier_quotes totals as given, with no math of your own, and let the owner pick. Seedance is in neither total: offer each seedance_addons price, and only the owner's yes adds it. After the owner's explicit yes, call video_approve with the custom phase, review_token and total_credits from custom_review.approval_quote (with their quality_tier and its total when there are two), expected_revision and their words as user_quote. Never infer consent or approve yourself. Honor Stop.
After ingredient approval, save the kit block and follow video_production if parts fit; else use the customer's verified shell, never a cloud sandbox. Report per paid piece. Review the first take and risky product action before batching. Reject double mouths, extra hands, smears and garbled labels; never hide them with tracked face/body patches or blur. Re-make affected sources within approval. Send every resulting clip to clip_check; only checked bytes enter the final. Save prompts/settings and source-byte reviews; label unplayed clips measured. Build the source-linked assembly_timeline: native picture and audio ranges stay together, pauses and freezes are declared, real soundtrack cues. Edits invalidate affected evidence. Review all repaired motion and cuts at normal speed; samples cannot clear it. Review the exact final: listen, or use final_measure and frame judge (measured). quality_report is optional notes from that review; GooseWorks checks the final itself and returns findings. Fix must-fix ones; keep one only on the owner's own words. Store the rebuild recipe (references/recipe-format.md). Complete with the confirmed same-project H.264/AAC MP4 URL; report complete again while server checks run. Kit uploads follow the saved review request. Pin checked bytes only.
Use plain words and returned credits. No invented claims, approvals, assets or passes.
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資料には具体的なスキルの内容や手順が記載されていないため、用途や得られる結果を特定できません。
顧客の課題や商品情報、広告事例を調べ、根拠のある広告訴求と静止画・動画・コピー案にまとめます。動画案は実際の制作フォーマットとの相性も確認し、商品単位の角度集として整理します。
Google、Meta、LinkedInなどの広告実績を分析し、成果の出た広告や予算の無駄を特定します。停止・拡大・テスト案や、具体的な予算配分を提案します。
広告費と登録後の成果を照合し、質の高いリード獲得にかかった実コストを算出します。広告素材ごとに拡大・維持・調査・停止の判断材料を整理するスキルです。
Meta広告を始める前にブランド情報を調べ、予算や広告表現に関わる不明点だけを質問して準備を整えます。確認事項と仮定を記録し、ブランド情報とキャンペーン概要を作成します。
広告文や画像内の表現を配信先と商品カテゴリのルールに照らして確認し、直せる箇所を修正しながら、法務や人の判断が必要なリスクを広告ごとに整理します。