專為 Suno 與 Udio 設計的 AI 音樂提示詞（Prompt/Tags）生成助手。當使用者提出抽象的情緒、畫面或曲風融合需求（如：「古風結合賽博龐克」）時，請觸發此技能。它會將模糊的靈感精準轉譯為專業的音樂流派、樂器、混音與結構標籤，大幅提升 AI 音樂生成的品質與準確度。
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Kouzui-HUANG/biz-ai-video-course42026年10月27日 更新
免费在 GitHub 公开
seedance-2-0
Executable tool skill that ACTUALLY CALLS the GMI Cloud `seedance-2-0-260128` API to generate real videos — it runs a bundled Python script (submit → poll → download), it is NOT a prompt writer. Activation is by MODEL NAME ONLY. Trigger EXCLUSIVELY when the user explicitly names the model: "seedance 2", "seedance2", "seedance 2.0", "seedance-2-0", "seedance-2-0-260128", or "seedance 2.0 生成/出片". CRITICAL — DO NOT trigger on generic video-related wording: "影片生成", "文生影", "圖生影", "動態生成", "動態提示詞", "video generation", "text-to-video", "image-to-video", "i2v", "t2v", etc. — those describe VIDEO PROMPT tasks handled by prompt-master-text-to-video / prompt-master-image-to-video / prompt-master-video-continuity and are UNRELATED to this skill. Also do NOT trigger on bare "seedance" WITHOUT "2" (Seedance 1.x / generic prompt-target mentions belong to the prompt skills) nor on "seedance 2 fast" / "seedance 2.0 fast" (that is a different model, seedance-2-0-fast-260128). Only the explicit model name above activates this skill; if the user merely describes a video or asks for a prompt but never names this model, do NOT use this skill.
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Kouzui-HUANG/biz-ai-video-course星标 4(GitHub 4 + cccskills 0)
实测评分 未实测
查看安装方法包含的文件（4）
- SKILL.md7.6 KB
- docs/SKILL_zh-TW.md5.6 KB
- generate_video.py21.8 KB
- references/gmi-api.md5.7 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Seedance 2.0 — Live Video Generation
This is an executable tool skill, not a prompt generator. It runs a bundled Python program that calls the real GMI Cloud seedance-2-0-260128 API, then downloads the produced video(s) and thumbnail(s). By default each run produces two variants (--count 2) at 720p.
⚠️ Activation guard — model name ONLY
Use this skill only when the user explicitly names the model — seedance 2 / seedance2 / seedance 2.0 / seedance-2-0[-260128].
This project contains MANY skills that write video prompts. Generic wording — 影片生成 / 文生影 / 圖生影 / 動態生成 / 動態提示詞 / video prompt / t2v / i2v — does NOT belong here; let the relevant prompt-writing skill handle those (a bare "Seedance" mention as a prompt target also belongs there). If no explicit model name from the list appears, do not activate. seedance 2 fast / seedance 2.0 fast is a different model (seedance-2-0-fast-260128) — also do not activate.
Files
In this skill folder:
| Path | Purpose | Git |
|---|---|---|
generate_video.py | The program (stdlib only, Python 3.8+) | tracked |
references/gmi-api.md | Full API spec — read when debugging | tracked |
.gmi_api_key | API key (Bearer; same GMI key as gemini-3-pro-image) | gitignored |
Shared media folders at the project root — one drop-zone and one results folder for all three executable generation skills (gemini-3-pro-image, gpt-image-2, seedance-2-0), wired up by .claude/lib/media_paths.py:
| Path | Purpose | Git |
|---|---|---|
uploads/ | Drop local reference images/videos/audio here (shared) | gitignored |
uploads/done/ | Materials move here after a successful run | gitignored |
outputs/ | Videos + thumbnails land here, prefixed seedance_ (shared) | gitignored |
Workflow
- Confirm activation — a model name from the list is present. If not, stop.
- Identify the task (mode is chosen automatically from the materials given):
- Text-to-video (T2V) — only a prompt.
- Reference-to-video (R2V) — prompt + image(s). This is the DEFAULT whenever the user provides/uploads images without saying otherwise: pass them as
--ref/--ref-file(→reference_images, subject/style reference). - First/last-frame (I2V) — only when the user explicitly asks for 首幀/尾幀/首尾幀 anchoring (the video starts from / ends on the exact image): use
--first-frame(-file)/--last-frame(-file). - Reference video / audio / GMI asset IDs are also supported:
--ref-video(-file),--ref-audio(-file),--ref-asset-id.
- Gather inputs:
prompt(required). If the user gives a rough idea, you may compose a strong English motion/camera prompt for them.- Materials (optional): public URL →
--ref <url>etc.; local file →--ref-file <path>etc. The script auto-uploads local files to a temp host (tmpfiles.org, ~1 h auto-delete) and uses the resulting URL. Bare filenames are looked up in the shareduploads/, thenuploads/done/. Guards: images ≤ 10 MB (PNG/JPEG/WebP/HEIC/HEIF, ≤ 9), videos ≤ 50 MB, audio ≤ 20 MB. (GMI accepts public URLs only — no base64/local upload to the API itself.)
- Parameters — apply defaults; ask the user only for a genuinely undecided necessary value:
--count(default 2) — unless the user explicitly asks for a specific number, keep the default: every run delivers TWO variants to choose from. Each video is a separate API request submitted in parallel (max 4 — video is expensive).--resolution480p/720p/1080p(default 720p)--duration4–15 seconds (default 5)--ratio16:9/4:3/1:1/3:4/9:16/21:9/adaptive— when omitted the script picksadaptiveif any visual reference is given (follows the source material), else16:9.- Audio is generated by default; pass
--no-audioto disable.--seed,--watermark,--web-searchexist for special cases.
- Run it — CWD doesn't matter, the script finds the key and the shared folders on its own. Video takes minutes, so set a generous Bash timeout (≥ 10 min):
For long/complex prompts, write the prompt to a temp file and passS=.claude/skills/seedance-2-0/generate_video.py # text-to-video python3 $S --prompt "A thunderstorm rolls over a medieval castle at night, lightning illuminating stone towers" # reference-to-video with a local image (bare filename → shared uploads/; DEFAULT mode for user images) python3 $S --ref-file character.png \ --prompt "The character walks through a neon-lit alley, cinematic tracking shot" # first/last-frame anchoring (only when explicitly requested) python3 $S --first-frame-file bud.jpg --last-frame-file bloom.jpg \ --prompt "The flower slowly blooms, petals unfurling in morning light" # single video only (when the user explicitly asks for one) python3 $S --count 1 --prompt "..."--prompt "$(cat /tmp/p.txt)"to avoid shell-quoting issues. Use--dry-runto preview the payload without spending quota. - Show the results — the script prints each saved
.mp4path and a_thumb.jpgper video under the sharedoutputs/. Open each thumbnail with the Read tool so the user gets a visual preview, and give the full.mp4paths (videos can't be previewed inline — the user opens them in Finder/QuickTime). - Used materials self-archive — on success the script moves every local reference it used (images, videos, audio, first/last frames) out of
uploads/intouploads/done/, so the drop-zone only ever shows what still needs doing. Pass--keep-refswhen the user wants to try several prompts on the same material. Re-runs still accept the bare filename — the lookup coversdone/too.
Notes
- API key precedence:
--api-key>$GMI_API_KEY>.gmi_api_key>../gemini-3-pro-image/.gmi_api_key(same GMI Cloud key for the whole platform). The key file is already present and gitignored. - Privacy — local-file flags upload to a public temp host (~1 h then auto-deleted). For sensitive material, ask the user for a private URL and use the URL flags instead.
- Cost — video is billed per generated second; keep
--count/--durationmodest unless asked. - Full request/response schema, status values, and limits:
references/gmi-api.md.
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Kouzui-HUANG/biz-ai-video-course42026年10月27日 更新
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Kouzui-HUANG/biz-ai-video-course42026年10月27日 更新
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Kouzui-HUANG/biz-ai-video-course42026年10月27日 更新
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Kouzui-HUANG/biz-ai-video-course42026年10月27日 更新
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Kouzui-HUANG/biz-ai-video-course42026年10月27日 更新