从 X (Twitter) 链接下载图片或视频到 ~/Downloads。
Works with
从 X (Twitter) 链接下载图片或视频到 ~/Downloads。
yt-dlp（已安装）从用户输入中提取 X/Twitter URL。支持的格式：
https://x.com/user/status/123456https://twitter.com/user/status/123456https://mobile.twitter.com/user/status/123456?s=20 等追踪参数）缩短链接（t.co）先解析：curl -Ls -o /dev/null -w '%{url_effective}' "SHORT_URL"
如果用户没有提供 URL，用 AskUserQuestion 要求提供。
直接用 yt-dlp 下载，无需先探测：
yt-dlp -o "~/Downloads/%(uploader)s_%(id)s.%(ext)s" "URL"
如果成功（视频推文），完成。跳到步骤 4 汇报结果。
yt-dlp 对纯图片推文可能报错。此时用 --dump-json 提取图片 URL：
yt-dlp --dump-json "URL" 2>&1
判断结果：
thumbnails 数组 → 提取图片 URLno video → 推文无媒体，告知用户"该推文不包含可下载的图片或视频"login / authentication → 需要登录（见故障排除）图片下载：
从 JSON 的 thumbnails 数组提取所有图片 URL，替换 name=small 或 name=medium 为 name=orig 获取原图，然后逐一下载：
curl -L -o ~/Downloads/tweet_ID_1.jpg "https://pbs.twimg.com/media/xxx?format=jpg&name=orig"
curl -L -o ~/Downloads/tweet_ID_2.jpg "https://pbs.twimg.com/media/yyy?format=jpg&name=orig"
文件扩展名跟随 URL 中的 format 参数（jpg/png/webp）。
下载完成后，用 ls -lh 列出已下载的文件：文件名、大小、路径。
yt-dlp 报错含 login / Sign in / age-restricted 时，加 --cookies-from-browser chrome：
yt-dlp --cookies-from-browser chrome -o "~/Downloads/%(uploader)s_%(id)s.%(ext)s" "URL"
纯文字推文没有可下载的媒体。告知用户即可。
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionljg-x-downloadExecute the skills CLI command in your project's root directory to begin installation:
Fetches ljg-x-download from lijigang/ljg-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 ljg-x-download. Access via /ljg-x-download 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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GitHub stars
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Run in your terminal
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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
ljg-x-download has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in ljg-x-download — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: ljg-x-download is the kind of skill you can hand to a new teammate without a long onboarding doc.
ljg-x-download is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: ljg-x-download is focused, and the summary matches what you get after install.
ljg-x-download has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend ljg-x-download for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in ljg-x-download — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
ljg-x-download reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added ljg-x-download from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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