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
シーンごとの動画素材や音声、字幕を組み合わせ、縦型のキャラクター解説広告を完成動画にまとめます。素材が欠けたシーンは静止画で補えます。
Assemble an animated character-explainer video ad (~77s, 9:16, any art style: Pixar-style 3D, claymation, anime, paper-cut, felt) on an "N types of X" listicle spine: one recurring human protagonist plus one persona character per list item. Given per-scene clips, a scene timing table and narration, it trims, normalises, concatenates and mixes them, reusing the source ad's audio (restyle) or fresh per-scene voiceover over a music bed (original), loops a scene's keyframe when its clip failed, and burns captions last. Free, deterministic assembly (Python and ffmpeg, no paid calls); the recipe supplies the clips, keyframes, audio and captions. Use for the 3d-character-explainer format.
実行スコア 未検証
インストール方法を見る「N種類のX」というリスト形式の縦型広告を、シーン素材から完成動画に組み立てます。各項目に対応するキャラクターと、全体を通じて登場する人間の主人公を描いたシーンを、指定された秒数に合わせてトリミングし、画面サイズやフレームレートをそろえて連結します。音声は、元広告の音声をそのまま使う方式と、シーンごとのナレーションを音楽に重ねる方式に対応します。字幕も最後に合成します。動画クリップが欠けたシーンは、対応するキーフレーム画像を指定時間表示して補います。
シーンごとの動画や静止画、音声、字幕がそろっており、縦型のキャラクター解説広告として編集・出力したいときに向いています。絵柄や語り手などのクリエイティブ上の選択は、事前に決めて素材に反映しておきます。
組み立てには Python と ffmpeg を使います。動画、キーフレーム、音声、字幕などの素材は別途用意が必要です。このスキル自体は有料生成処理を呼び出しません。
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 free, deterministic renderer for the 3d-character-explainer video ad format — an animated character spot (art style is the user's choice; the demo was glossy Pixar-style 3D) built on an "N types of X" listicle spine, where a recurring human protagonist plus a locked cast of N persona characters (one per list item) carry a hook → "deeper story" → cast-reveal → one beat per list item → kicker → product test → relieved payoff. This capability is the FREE assembly stage only. All generative work (Nano-Banana cast anchors + per-scene keyframes, Kling-V3 i2v clips, ElevenLabs VO + music, or a source ad's audio reused verbatim) happens upstream in the recipe and is handed to this capability as files.
It ports the validated compose recipe from the worked example — a "six types" Pixar-style 3D
listicle restyle (_render_full.sh — per-scene trim → normalize 1080×1920/fps30 → concat -c copy → mux the
source audio, with a static-still fallback on any failed clip). The assembly is
deterministic — iterate the cut for free, re-roll only the offending paid beat.
The recipe asks these of the user before any paid step; this capability assembles whatever comes back. None of them is fixed by the format.
visual_style — the art style of the anchors, keyframes and Kling motion prompts (Pixar-style
3D, claymation, anime, paper-cut, felt). Asked of the user; the demo used glossy Pixar-style 3D.narrator — who tells the story and in whose POV the lines / captions are written. Asked of
the user; the demo used an off-screen storyteller.narrator_voice — the VO voice (ORIGINAL mode only). Asked of the user; the demo used one
ElevenLabs narrator.tone — cute/comedic, sincere, educational, dramatic, punchy; shapes the style prefix, the
delivery and the script. Asked of the user; the demo was cute and comedic.protagonist — the human's age, gender, look and outfit (locked via the world lock). Asked of
the user; the demo used a young protagonist in a single tee.music — the bed under the VO, or none (ORIGINAL mode → music_bed). Asked of the user; the
demo used a light instrumental underscore.audio_mode: "restyle", the reference run) — re-tell a finished source
ad, beat for beat, as an animated character story in the chosen style and tone. The source ad's audio mix (VO + music bed) is
reused VERBATIM (source_audio), and the per-scene target_sec table is inherited from
the source's scene timing. No new VO or music is rendered. The trims must sum to the source
audio length.audio_mode: "original") — the ad authors its own narration. Each scene
carries a measured VO cue (scenes[].vo, target_sec = the ffprobe'd VO duration) which is
concatenated into a VO track (loudnorm I=-14) and optionally mixed under a music_bed
(loudnorm I=-26 then volume, amix normalize=0).target_sec and normalized to
identical dims/fps/SAR
(scale=W:H:force_original_aspect_ratio=decrease,pad=W:H:(ow-iw)/2:(oh-ih)/2:color=<pad>,fps=30,setsar=1).
A clip shorter than its window is extended with tpad=stop_mode=clone; a longer one is
-t trimmed. Decrease+pad (never crop) preserves the full 9:16 keyframe framing.clip is missing or failed to render, the
scene's keyframe PNG is looped (-loop 1) for target_sec, so the master always
assembles. Fallback scenes are printed at the end.libx264 -crf 18 -pix_fmt yuv420p -r 30 even if already correct — a dims/framerate mismatch makes the concat demuxer
silently drop frames — then concatenated via the concat demuxer (-c copy).source_audio muxed verbatim (-map 0:v -map 1:a), clamped to the
video length. Original: per-scene VO track (optional atempo, apad, -t clamp) → loudnorm
→ optionally mixed under the music bed.make_captions.py emits a libass .ass (one cue per scene, start = scene_start + 0.08s, suppressed on any scene with no caption — e.g. a product/end-card beat
carrying its own typeset copy). compose.py burns it as the final filter so captions sit on
top. Word-level energy-pop captions (Whisper on the narration) are the recipe's upstream
option — produce that .ass externally and point captions_ass at it; compose burns
whatever .ass it's handed.scripts/make_captions.py — emits the per-scene libass .ass from the SAME scene table
compose reads, so caption windows stay in lockstep with the cut. Run before compose.py
(or leave captions_ass unset / pointing at nothing to skip captions).scripts/compose.py — the assembler: per-scene trim + identical 1080×1920/30fps re-encode
(static-still fallback on missing clips) → concat → audio (restyle verbatim / original
mix) → burn captions → master mp4.scripts/config.example.json — the shape of the config the recipe binds (the
"six types of laundry stains" restyle demo, a made-up brand, as a worked example; captions, audio and
music are the demo's, never defaults).--config + a runtime work dir — NO hardcoded paths)config.json carries: audio_mode (restyle | original), scenes[] (each {id, clip, keyframe, target_sec, caption?, vo?, atempo?} where target_sec is the source-inherited
window in restyle mode or the measured VO window in original mode, and keyframe is the
static-still fallback source), source_audio (restyle), music_bed + music_volume +
atempo (original), width/height (default 1080×1920), pad_color (letterbox colour),
captions_ass, and caption_style. See config.example.json. pad_color defaults to neutral
black; set it from the brand palette.
generate_audio was false upstream — Kling would otherwise invent its own dialog track;
the real narration is muxed here separately. (This is the recipe's upstream call, not this
capability.)start = scene_start + 0.08s (avoids the caption flashing a frame before a cut).watch (QC the final master — the human protagonist reads as the SAME person every scene
(wardrobe/hair/lighting held), each persona is on-model, the cast-reveal lineup matches the N
list items, the product beat shows the REAL box, narration lands beat-for-beat, and duration is
within ±0.1s of the summed windows). The recipe gates the paid create-image-fal (cast
anchors + keyframes), create-video-fal (Kling-V3 i2v), create-vo-elevenlabs, and
create-music-elevenlabs calls to their own capabilities — this capability itself makes NO
paid calls.
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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。