这个技能用于自动化发布视频到抖音创作者中心。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionauto-douyinExecute the skills CLI command in your project's root directory to begin installation:
Fetches auto-douyin from zrt-ai-lab/opencode-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 auto-douyin. Access via /auto-douyin 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.
Submit your Claude Code skill and start earning
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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这个技能用于自动化发布视频到抖音创作者中心。
基于 Playwright 浏览器自动化，模拟真实用户操作抖音创作者中心（https://creator.douyin.com）：
pip install playwright
playwright install chromium
python .opencode/skills/auto-douyin/scripts/get_cookie.py
执行后会打开浏览器，使用抖音 APP 扫码登录，登录成功后 Cookie 会自动保存。
检查 Cookie 是否存在且有效：
python .opencode/skills/auto-douyin/scripts/check_cookie.py
如果 Cookie 失效，需要重新获取：
python .opencode/skills/auto-douyin/scripts/get_cookie.py
视频文件要求：
.mp4（推荐）可选：准备同名的封面图片（.png 或 .jpg）
python .opencode/skills/auto-douyin/scripts/publish.py \
--video "视频文件路径" \
--title "视频标题" \
--tags "话题1,话题2,话题3" \
[--cover "封面图片路径"] \
[--schedule "2025-01-31 18:00"]
| 参数 | 简写 | 说明 | 必填 |
|---|---|---|---|
--video |
-v |
视频文件路径 | ✅ |
--title |
-t |
视频标题（最多30字） | ✅ |
--tags |
-g |
话题标签，逗号分隔 | ❌ |
--cover |
-c |
封面图片路径 | ❌ |
--schedule |
-s |
定时发布时间（格式：YYYY-MM-DD HH:MM） | ❌ |
--headless |
无头模式运行（不显示浏览器） | ❌ |
# 立即发布，自动生成封面
python .opencode/skills/auto-douyin/scripts/publish.py \
-v ~/Videos/demo.mp4 \
-t "今天学到一个超实用的技巧" \
-g "干货分享,效率提升,学习"
# 定时发布，指定封面
python .opencode/skills/auto-douyin/scripts/publish.py \
-v ~/Videos/demo.mp4 \
-t "周末vlog｜一个人的惬意时光" \
-g "vlog,周末日常,生活记录" \
-c ~/Videos/demo_cover.png \
-s "2025-02-01 18:00"
# 无头模式（后台运行）
python .opencode/skills/auto-douyin/scripts/publish.py \
-v ~/Videos/demo.mp4 \
-t "测试视频" \
--headless
.opencode/skills/auto-douyin/
├── skill.md # 技能说明文档
├── scripts/
│ ├── get_cookie.py # 获取登录 Cookie
│ ├── check_cookie.py # 检查 Cookie 有效性
│ └── publish.py # 发布视频主脚本
└── cookies/
└── douyin.json # Cookie 存储文件（自动生成）
A: 重新运行 get_cookie.py 扫码登录即可。
A: 检查网络连接，确认视频文件格式正确，查看脚本输出的错误信息。
A: 可以编写循环脚本，依次调用 publish.py，建议每次发布间隔几分钟。
本技能参考了 social-auto-upload 项目的实现。
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
I recommend auto-douyin for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in auto-douyin — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: auto-douyin is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added auto-douyin from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: auto-douyin is focused, and the summary matches what you get after install.
I recommend auto-douyin for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: auto-douyin is focused, and the summary matches what you get after install.
auto-douyin is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for auto-douyin matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in auto-douyin — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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