秋葉原・サブカル · skill pubblica Open Skill
秋葉原・サブカル
光と音の、街。 秋葉原の密度を、光と反射で撮ります。 ・8拍構成 — 看板、ネオン、路地、群衆、店、ゲーム、夜、余韻 ・看板は読ませません — 読めない縦看板の密度そのものが主役です ・光 — ネオンとLEDだけ。濡れたアスファルトが光を二倍にします。顔はシルエットに ・音 — ゲームセンターの電子音、駅のアナウンス、群衆、雨。重ねて密度を出します 画面内の文字はすべて日本語です。実在の店舗名は使用しません。性的な表現は扱いません。オリジナル制作のみです。
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--- allowed-tools: - generate_image - generate_video - generate_music - mix_clips - recognize_video - download_video --- # 秋葉原・サブカル / Akihabara Subculture Akihabara is **density**: signage stacked vertically, neon on wet asphalt, tiny shops, a crowd moving in one direction. ## When to use - The user asks for 秋葉原, サブカル, アキバ, or a Japanese neon city video. - The user wants a city-density or night-street film. - The user wants a vertical neon short for TikTok / Shorts / Reels. - The user uploads a neon street reference and wants an original piece. Do **not** use this skill for: real shop names, or sexualised imagery — see Notes. ## Steps ### 0. Clarify — 秋葉原・サブカル Call `write_todos` with the plan: clarify → (optional) reference analysis → choose the setting → storyboard → stills → shots → sound → edit. Ask only what you still need: 1. **Which setting?** — 場所を2〜3個から選ぶ 2. **Which hour?** — 朝 / 昼 / 夕方 / 夜 3. **With people?** — なし / 後ろ姿だけ 4. **Frame?** — portrait 9:16 / landscape 16:9 Read the choice back in one Japanese line and get a yes. ### 1. Reference analysis (only if the user supplies a clip or image) ``` recognize_video(video_url=<url>, prompt='Analyse this as a Japanese 秋葉原・サブカル video. Report: the light and hour, average shot length, how static the camera is, how much of the frame is a close-up, whether people are shown face-on, and the sound design. Do not describe the plot.') ``` For a YouTube / TikTok / Instagram link, resolve it first with `download_video(url=...)`. Turn the answer into a short treatment note and read it back. Then build an **original** piece. ### 2. Storyboard — 8 beats, about 30 seconds | # | Beat | Length | What happens | |---|---|---|---| | 1 | 看板 | 4s | Vertical signage, stacked, no readable text | | 2 | ネオン | 4s | Neon reflection on wet asphalt | | 3 | 路地 | 4s | A narrow shop lane, boxes, cables | | 4 | 群衆 | 4s | A crowd from behind, moving | | 5 | 店 | 5s | A tiny shop interior, shelves | | 6 | ゲーム | 4s | Arcade light, a hand on a stick | | 7 | 夜 | 5s | The street from above, lights on | | 8 | 余韻 | 4s | A quiet side alley at dawn. Hold | **Rule: signage stays unreadable — the density is the subject, not any single shop** ### 3. 日本語での作法 — what makes it Japanese **All on-screen text is Japanese. No English anywhere.** **日本の符号(必ずどれかを入れる)** - 看板、ネオン、LED、電飾、縦看板 - 路地、雑居ビル、配管、室外機、自転車 - ゲームセンター、クレーンゲーム、筐体 - 群衆、リュック、傘、ウィンドウショッピング - 濡れたアスファルト、反射、夜露 - 音:電子音、アナウンス、群衆、ゲーム音 **光** Neon and LED only. Wet asphalt doubles everything. Keep faces as silhouettes. **音** Arcade chimes, station announcements, a crowd, rain. Layered and dense, no music needed. **テロップ** - One line only: `光と音の、街。` — bold gothic, white, small ### 4. Stills ``` generate_image(model='t2i', prompt='Japanese Akihabara street at night: stacked vertical signage glowing, neon reflected on wet asphalt, narrow shopping lane, cables and boxes, no people, no readable text, cinematic, dense composition', name='秋葉原・サブカル', entity_type='storyboard_images', orientation='portrait') ``` ``` generate_image(model='i2i', input_urls=[<user asset>], prompt='the same scene from a closer angle, more texture, no people, no text', name='秋葉原・サブカル 2', entity_type='storyboard_images') ``` ### 5. Shots ``` generate_video(model='i2v', input_urls=[<still asset>], prompt='almost completely static: subtle ambient movement only, a very slow camera push, no people, no camera shake', name='秋葉原・サブカル', entity_type='storyboard_videos', orientation='portrait') ``` Keep `orientation` identical across every shot; never write a physical model name — channels only. ### 6. Sound ``` generate_music(model='music', prompt='quiet Japanese ambience for 秋葉原・サブカル, ambient textures, no drums, no melody, 45 seconds', name='秋葉原・サブカル', entity_type='music') ``` A single Japanese line through `tts.design` is optional. **Confirm the exact Japanese with the user first** (kana + romaji) — a wrong reading ruins the piece. ### 7. Assemble ``` mix_clips(model='