skilld
All skills
agents365-ai avatar

/videogencn

@72ee04b
by Agents365.aiagents365-ai/365-skills57 stars
12

Use when generating video clips with Chinese video models — text-to-video (文生视频), image-to-video (图生视频), first/last-frame and reference-to-video across 4 platforms: Bailian (Wan/PixVerse/Kling/Vidu/HappyHorse), Jimeng (doubao-seedance), MiniMax (Hailuo), Hunyuan (hy-video)

Ask your Agent

Use this Skill: https://skilld.dev/gh/agents365-ai/365-skills/videogencn

This session only. Nothing lands on disk.

SKILL.md

≈76 tokens always: the name and description. ≈2.8k when used: this file.

videogencn - Chinese Video Generation Skill

Overview

Generate short video clips using Chinese video models across four providers — Alibaba Cloud Bailian (Wan/PixVerse/Kling/Vidu/HappyHorse), Volcengine Ark (Jimeng/即梦), MiniMax (海螺 AI), and Tencent Hunyuan (混元).

Four modes, auto-selected from inputs:

Mode Inputs Default model
t2v 文生视频 prompt only wan2.7-t2v-2026-04-25 (Bailian)
i2v 图生视频 prompt + --image wan2.6-i2v-flash (Bailian)
kf2v 首尾帧 prompt + --image + --last-frame pixverse/pixverse-c1-kf2v (Bailian)
r2v 参考生视频 prompt + --ref (1-7 images) pixverse/pixverse-c1-r2v (Bailian)

Video generation is asynchronous: submit → poll every 10s → download MP4. Result URLs expire after 24h, so the script always downloads immediately.

Local images: Wan/HappyHorse accept base64 data URIs directly; PixVerse/Kling/Vidu auto-upload to DashScope OSS (48h); Jimeng/Hunyuan use base64; MiniMax uploads via its file API.

When to Use This Skill

  • User asks to 生成视频 / 文生视频 / 图生视频 / 首尾帧 / 参考生视频
  • User names a Chinese video model: 万相/Wan, 爱诗/PixVerse, 可灵/Kling, Vidu, HappyHorse, 即梦/Jimeng, 海螺/MiniMax, 混元/Hunyuan
  • User needs B-roll, animated stills, character-consistent clips, or frame transitions
  • User asks about model pricing, features, or wants to compare models → open docs/models.html

Workflow

Step 0: Prompt Refinement (interactive)

Run for t2v/i2v unless skipped (see §0.4). Claude polishes the user's prompt before generation.

0.1 Analyze the raw input
Dimension Check
Subject Who/what? Appearance, action, expression
Scene Where? Background, environment, atmosphere
Lighting Time of day? Light quality? (golden hour, neon, soft diffused, backlit)
Camera Shot type? (close-up, wide, aerial, tracking). Movement? (push-in, pan, orbit)
Mood/Style Emotional tone? Visual style? (cinematic, anime, documentary, surreal)
Motion What moves? How? Speed, direction, dynamics
Temporal Any sequence? Beginning→middle→end?
0.2 Generate three refined variants

Present 3 variants in a table:

| # | 风格方向 | 优化后提示词 | 建议参数 |
|---|---------|-------------|---------|
| 1 | [风格名]  | [完整中文提示词] | 5s / 16:9 / 1080P |
| 2 | [风格名]  | [完整中文提示词] | 8s / 16:9 / 1080P |
| 3 | [风格名]  | [完整中文提示词] | 5s / 9:16 / 1080P |
  • Variant 1: 忠于原意 — preserve core idea, add cinematic detail
  • Variant 2: 创造性发散 — different artistic interpretation
  • Variant 3: 实用主义 — optimized for vertical short-video

Prompt writing rules:

  • Write in Chinese; front-load subject + action (first 20 chars matter most)
  • Concrete visual nouns ("金色麦田") not abstract concepts ("丰收的感觉")
  • Describe motion explicitly ("缓缓推近", "随风飘动")
  • Add camera/lighting cues at the end ("电影感镜头", "逆光剪影")
  • Keep within 150 characters
  • Wan 2.7 multi-shot: 第N个镜头[N-Ns]: 描述 format
0.3 User feedback loop
User says Action
"用第N个" / "N" Use variant N as-is
"更诗意" / "更浪漫" Regenerate with poetic tone
"更简洁" Strip to essentials
"加动态元素" Add more motion/action
"改为夜景" / "下雪" / etc Apply scene change to all variants
"混合1和3" Combine subject of 1 with style of 3
"直接用" / "不改了" Skip refinement
Custom feedback Apply and regenerate

Iterate until the user explicitly approves ("好", "可以", "用这个", "生成吧").

0.4 Skip conditions

Skip refinement when user says "直接生成" / "不用优化" / "skip", the prompt is already detailed (>80 chars), or mode is kf2v/r2v.

Step 1: Decide mode, provider, and model

  • Mode: auto-detected from inputs (t2v / i2v / kf2v / r2v)
  • Provider: --provider {bailian,jimeng,minimax,hunyuan} or auto-detect from model name
  • Model: --model flag, or provider default for the mode
  • Parameters: duration, resolution, ratio from variant suggestion or user override

Step 2: Confirm and generate

Show the final command and confirm with the user. Run the script; it blocks until the task finishes and saves the MP4.

Step 3: Deliver

Report output path, file size, and generation time. Save to cwd if no path given.

Cost note: video APIs bill per second of output. Confirm with user for long/many clips.

Providers

Alibaba Bailian 百炼

One API key (DASHSCOPE_API_KEY) covers 5 model families. Third-party models (PixVerse/Kling/Vidu/HappyHorse) are cn region only. Models: Wan (t2v/i2v, up to 15s), PixVerse (all 4 modes, 1-15s), Kling (t2v/i2v/kf2v + r2v on omni), Vidu (q3: 1-16s with audio; q2: 1-10s), HappyHorse (t2v/i2v, 3-15s).

Volcengine Ark (Jimeng 即梦)

ARK_API_KEY via https://ark.cn-beijing.volces.com/api/v3. Seedance 2.0: t2v/i2v up to 15s/2K, with audio, lip-sync, and camera motion. Ratios: 16:9, 9:16, 1:1, 21:9.

MiniMax 海螺 AI

MINIMAX_API_KEY via https://api.minimax.chat. MiniMax-H3 (Hailuo 3.0): t2v/i2v, 4-15s, 768P/1080P (2K via direct API), 24fps with native stereo audio. Legacy video-01: 6s at 720P, prompt optimizer on by default (--no-prompt-optimizer to disable). Host override: MINIMAX_API_BASE (e.g. https://api.minimaxi.com CN / https://api.minimax.io intl).

Tencent Hunyuan 混元

HUNYUAN_API_KEY via TokenHub. hy-video-1.5: t2v/i2v (5-10s, 720P, supports --duration/--seed). Experimental i2v-only: yt-video-2.0, yt-video-fx, yt-video-humanactor. Flags --resolution, --ratio, --audio, --camera-motion are not yet supported.

Model Selection Guide

Use case Model Provider
Best quality t2v, multi-shot wan2.7-t2v-2026-04-25 Bailian
Fast action / combat pixverse/pixverse-c1-t2v Bailian
Smart storyboard + audio kling/kling-v3-video-generation Bailian
Long clips up to 16s + audio vidu/viduq3-pro_text2video Bailian
Douyin/XHS short-video doubao-seedance-2-0-260128 Jimeng
Smooth motion, natural physics MiniMax-H3 MiniMax
Animate an image (default) wan2.6-i2v-flash Bailian
Transition between two frames pixverse/pixverse-c1-kf2v Bailian
Character/subject consistency pixverse/pixverse-c1-r2v Bailian
Cheap drafts wanx2.1-t2v-turbo, happyhorse-1.0-t2v Bailian
Chinese t2v/i2v on Tencent hy-video-1.5 Hunyuan
Portrait animation (experimental) yt-video-humanactor Hunyuan

Run python scripts/generate_video.py --list-models for the full model catalog.

Model Comparison Page

When the user wants to compare models, browse pricing, filter by features, or pick a model:

Open docs/models.html in the browser. It's a self-contained static page — no server needed. Use open (macOS) or xdg-open (Linux):

open docs/models.html

The page supports filtering by provider, mode (文生/图生/首尾帧/参考生), and features (audio/camera/multi-shot), with pricing and capability comparison across all 24 models.

Usage

# Text-to-Video (Bailian default)
python scripts/generate_video.py "一只柴犬在樱花树下奔跑,花瓣随风飘落,电影感镜头" shiba.mp4 \
  --duration 5 --resolution 1080P --ratio 16:9

# Image-to-Video
python scripts/generate_video.py "镜头缓缓推近,人物微笑" out.mp4 --image portrait.png

# First+Last Frame (kf2v)
python scripts/generate_video.py "花苞缓缓绽放成盛开的牡丹" bloom.mp4 \
  --image bud.png --last-frame bloom.png

# Reference-to-Video (r2v)
python scripts/generate_video.py "@girl 在 @cafe 里弹吉他" out.mp4 \
  --ref girl=girl.png --ref cafe=cafe.jpg

# Other providers
python scripts/generate_video.py "城市日落延时摄影" sunset.mp4 --provider jimeng --duration 10
python scripts/generate_video.py "海浪拍打礁石" ocean.mp4 --provider minimax --duration 6
python scripts/generate_video.py "金黄色的麦田在秋风中起伏" field.mp4 --provider hunyuan --duration 5

# Dry-run: preview request + cost estimate without submitting
python scripts/generate_video.py "一只柴犬在樱花树下奔跑" --dry-run

# Schema introspection (for agents)
python scripts/generate_video.py schema providers   # list all providers
python scripts/generate_video.py schema bailian     # list bailian models with capabilities

# JSON output (auto-detected when stdout is not a TTY; force with --format)
python scripts/generate_video.py --list-models --format json
python scripts/generate_video.py "海边的日落" out.mp4 --format json --provider jimeng

# Resume a task
python scripts/generate_video.py --task-id <task-id> out.mp4

# List all models
python scripts/generate_video.py --list-models

Options

Flag Meaning Default
--provider bailian / jimeng / minimax / hunyuan auto-detect
-m/--model model name auto by mode
-i/--image first-frame image (path/URL) → i2v —
--last-frame last-frame image → kf2v (requires -i) —
--ref reference image name=path_or_url, repeatable → r2v —
-d/--duration seconds 5
-r/--resolution 360P/480P/540P/720P/1080P 1080P
--ratio 16:9 / 9:16 / 1:1 / 3:4 / 4:3 / 21:9 16:9
-s/--size exact W*H for size-based models from resolution+ratio
-n/--negative negative prompt (Wan only) —
--no-prompt-extend disable prompt rewriting (Wan only) extend on
--no-prompt-optimizer disable built-in prompt optimizer (MiniMax only) optimizer on
--audio enable audio on PixVerse/Kling/Vidu/Jimeng off
--no-audio silent output on Wan audio models audio on
--camera-motion camera motion (Jimeng Seedance 2.0 only) —
--seed reproducibility random
--task-id resume polling an existing task —
--dry-run preview request body + cost estimate, no submit —
--format json or table (default: table in TTY, json otherwise) auto
--list-models list models and exit —
schema <resource> introspection: providers or a provider id —

Requirements

pip install requests

Environment Variables

Variable Required Provider Purpose
DASHSCOPE_API_KEY yes (Bailian) Bailian https://bailian.console.aliyun.com/
DASHSCOPE_API_BASE no Bailian cn (default) / sg / us
DASHSCOPE_VIDEO_MODEL no Bailian default model override
ARK_API_KEY yes (Jimeng) Jimeng https://console.volcengine.com/ark/
MINIMAX_API_KEY yes (MiniMax) MiniMax https://platform.minimax.io
MINIMAX_API_BASE no MiniMax API host override (CN: https://api.minimaxi.com, intl: https://api.minimax.io)
HUNYUAN_API_KEY yes (Hunyuan) Hunyuan https://console.cloud.tencent.com/hunyuan

Third-party Bailian models are cn region only.

Source: SKILL.md on GitHub

Third-party checks

No alerts16d3 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill is safe and well-designed. It implements a multi-provider Chinese video generation interface supporting asynchronous tasks, polling, image base64 handling, and file downloads across multiple verified technology platforms.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

Provenance

Signed by skilld at 72ee04b. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 10 hours ago.

Activeupdated 3 weeks ago

Capability

author
Agents365-ai
version
1.1.0
created
2026-07-05
Other metadata
updated
2026-08-08
homepage
https://github.com/Agents365-ai/365-skills
metadata
{
  "openclaw": {
    "requires": {
      "bins": [
        "python3"
      ],
      "env": [
        "DASHSCOPE_API_KEY"
      ]
    },
    "primaryEnv": "DASHSCOPE_API_KEY",
    "emoji": "🎬"
  }
}

README badge

README badge for agents365-ai/365-skills/videogencn