基于 Seedance 视频生成能力,专门用于创作漫画风格的短剧(漫剧)。
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmanga-dramaExecute the skills CLI command in your project's root directory to begin installation:
Fetches manga-drama from freestylefly/canghe-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate manga-drama. Access via /manga-drama in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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基于 Seedance 视频生成能力,专门用于创作漫画风格的短剧(漫剧)。
需要设置 ARK_API_KEY 环境变量。
cp .canghe-skills/.env.example .canghe-skills/.env
.canghe-skills/.env 文件,填写你的 API Key:ARK_API_KEY=your-actual-api-key-here
export ARK_API_KEY="your-api-key"
process.env).canghe-skills/.env~/.canghe-skills/.env需要依赖技能:seedance-video-generation
提供主角图片和主题,自动生成完整漫剧:
cd ~/.openclaw/workspace/skills/manga-drama
python3 scripts/manga_drama.py generate \
--image /path/to/character.png \
--theme "校园日常" \
--scenes 3 \
--send-feishu
先创建脚本,再生成视频:
# 创建脚本模板
python3 scripts/manga_drama.py create-script \
--output my_drama.json \
--title "我的漫剧" \
--character "双马尾女孩" \
--num-scenes 4
# 编辑脚本文件后生成
python3 scripts/manga_drama.py from-script \
--script my_drama.json \
--image /path/to/character.png \
--send-feishu
内置5种漫剧分镜类型:
| 分镜类型 | 名称 | 说明 |
|---|---|---|
| introduction | 主角登场 | 介绍主角,展示角色特征 |
| action | 动作场景 | 主角进行某个动作 |
| emotion | 情感表达 | 表达某种情感 |
| interaction | 互动场景 | 与环境或其他元素互动 |
| ending | 结尾定格 | 漫剧结尾,定格画面 |
{
"title": "漫剧标题",
"character": "主角描述",
"style": "漫画风格",
"total_scenes": 3,
"scenes": [
{
"scene_number": 1,
"type": "introduction",
"name": "主角登场",
"prompt": "双马尾女孩站在画面中央,微笑看向镜头,漫画风格...",
"duration": 5,
"ratio": "9:16",
"resolution": "1080p"
}
]
}
| 参数 | 必需 | 说明 |
|---|---|---|
--image |
✅ | 主角图片路径 |
--theme |
✅ | 漫剧主题/剧情描述 |
--scenes |
❌ | 分镜数量(默认3) |
--output |
❌ | 输出目录(默认~/Desktop) |
--send-feishu |
❌ | 发送到飞书 |
| 参数 | 必需 | 说明 |
|---|---|---|
--script |
✅ | 脚本文件路径 |
--image |
✅ | 主角图片路径 |
--send-feishu |
❌ | 发送到飞书 |
| 参数 | 必需 | 说明 |
|---|---|---|
--output |
✅ | 输出脚本文件路径 |
--title |
❌ | 漫剧标题 |
--character |
❌ | 主角描述 |
--num-scenes |
❌ | 分镜数量 |
python3 scripts/manga_drama.py generate \
--image ~/Desktop/girl_character.png \
--theme "校园日常" \
--scenes 3 \
--send-feishu
生成3个分镜:
# 创建脚本
python3 scripts/manga_drama.py create-script \
--output spring_festival.json \
--title "春节团圆" \
--character "白发奶奶" \
--num-scenes 5
# 编辑 spring_festival.json 文件
# 然后生成
python3 scripts/manga_drama.py from-script \
--script spring_festival.json \
--image ~/Desktop/grandma.png \
--send-feishu
1. 分析主角图片 → 提取角色特征
2. 根据主题 → 生成分镜脚本
3. 每个分镜 → 调用 Seedance 图生视频
4. 可选 → 发送到飞书
~/Desktop/drama_我的漫剧/
├── drama_script_xxx.json # 脚本文件
├── scene_1_introduction.mp4 # 分镜1
├── scene_2_action.mp4 # 分镜2
├── scene_3_emotion.mp4 # 分镜3
└── ...
编辑生成的脚本文件,修改 prompt 字段:
{
"prompt": "{character}在樱花树下读书,花瓣飘落,漫画风格,温馨治愈..."
}
创建多个脚本,批量生成:
for script in scripts/*.json; do
python3 scripts/manga_drama.py from-script \
--script "$script" \
--image ~/Desktop/character.png
done
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: manga-drama is focused, and the summary matches what you get after install.
I recommend manga-drama for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: manga-drama is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added manga-drama from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
manga-drama fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
manga-drama is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend manga-drama for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in manga-drama — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
manga-drama reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for manga-drama matched our evaluation — installs cleanly and behaves as described in the markdown.
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