skills
來自 scenario-labs/skills 的 67 項代理技能 — 包含 scenario、scenario-game-assets、scenario-video。使用 npx skills add scenario-labs/skills 安裝。
AI 翻譯
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一分鐘完成驗證Agent Skills for NezhaGate: Seedance 2.5 / 2.0 text-to-video and image-to-video from Claude Code, Codex and Cursor
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Agent Skills that let coding agents (Claude Code, Codex, Cursor and other skill-aware agents) use the
NezhaGate API directly: ask in plain words, and the agent picks the model,
sends your files, waits for the job and saves the result.
*Made with this skill in one request: seedance-2.5, 8 s, 720P, one reference image, generated soundtrack.
Watch the clip · storyboard*
Manual install: copy skills/nezhagate-seedance/ into your agent's skills folder, for example
~/.claude/skills/nezhagate-seedance/ for Claude Code or ~/.codex/skills/nezhagate-seedance/ for Codex.檢視完整 README ↗Agent Skills that let coding agents (Claude Code, Codex, Cursor and other skill-aware agents) use the NezhaGate API directly: ask in plain words, and the agent picks the model, sends your files, waits for the job and saves the result.
Made with this skill in one request: seedance-2.5, 8 s, 720P, one reference image, generated soundtrack.
Watch the clip · storyboard
| Skill | What it does |
|---|---|
nezhagate-seedance | Text-to-video and video from reference images, videos and audio with ByteDance Seedance 2.5 / 2.0, including the per-clip Seedance 2.0 Clip and Seedance 2.5 30s, native soundtrack. Includes a zero-dependency Python helper that lists the models on sale with live prices, checks the request before you pay, then submits, waits and downloads. |
One line, from our site:
npx skills add https://nezhagate.com
or from this repository:
npx skills add gaoorange/nezhagate-skills
Manual install: copy skills/nezhagate-seedance/ into your agent's skills folder, for example
~/.claude/skills/nezhagate-seedance/ for Claude Code or ~/.codex/skills/nezhagate-seedance/ for Codex.
Create a key at https://nezhagate.com/keys, then make it available to the agent:
export NEZHAGATE_API_KEY=your_key # macOS / Linux
$env:NEZHAGATE_API_KEY = "your_key" # Windows PowerShell (current window)
setx NEZHAGATE_API_KEY "your_key" # Windows, for windows opened later
Start the agent from a shell where the variable is set. The skill never needs the key in your project files.
Use the nezhagate-seedance skill: make an 8-second 16:9 clip with seedance-2.5 of the woman in ./hero.png
turning to the camera on a rooftop at golden hour, slow dolly in, and save it to ./out/rooftop.mp4.
Or run the helper yourself:
python skills/nezhagate-seedance/scripts/seedance.py --models # models on sale, live prices
python skills/nezhagate-seedance/scripts/seedance.py --model seedance-2.5 --image ./hero.png \
--prompt "The woman from @Image1 turns to the camera on a rooftop at golden hour, slow dolly in" \
--duration 8 --ratio 16:9 --dry-run # check the request, submit nothing
python skills/nezhagate-seedance/scripts/seedance.py --model seedance-2.5 --image ./hero.png \
--prompt "The woman from @Image1 turns to the camera on a rooftop at golden hour, slow dolly in" \
--duration 8 --ratio 16:9 --out ./out/rooftop.mp4 # submit, wait, download
For a long or multi-line prompt, put it in a UTF-8 file and pass --prompt-file prompt.txt instead of --prompt.
The prompt behind the demo clip:
Golden-hour rooftop in an old Chinese city. The young woman from @Image1, in a cream trench coat, turns from the railing toward the camera; the wind lifts her hair, she hesitates, then breaks into a small relieved smile as distant temple bells ring. Slow dolly-in from medium shot to close-up, shallow depth of field, warm rim light, film grain, soft strings over the city hum.
Some Seedance models bill per second and others per clip, in NezhaGate credits. Current prices: --models or
https://nezhagate.com/en/pricing.
well-known/agent-skills/ holds the agentskills.io discovery index and the
archive it points to, served at https://nezhagate.com/.well-known/agent-skills/. Rebuild both after editing a skill:
python tools/build_archive.py
MIT