ljg-x-download

lijigang/ljg-skills · updated Apr 8, 2026

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$npx skills add https://github.com/lijigang/ljg-skills --skill ljg-x-download
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summary

从 X (Twitter) 链接下载图片或视频到 ~/Downloads。

skill.md

ljg-x-download

从 X (Twitter) 链接下载图片或视频到 ~/Downloads。

依赖

  • yt-dlp(已安装)

执行流程

1. 解析输入

从用户输入中提取 X/Twitter URL。支持的格式:

  • https://x.com/user/status/123456
  • https://twitter.com/user/status/123456
  • https://mobile.twitter.com/user/status/123456
  • 带查询参数的 URL(yt-dlp 自动处理 ?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。

2. 尝试直接下载(视频优先)

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。

3. 视频下载失败时,提取图片

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:

  • JSON 中有 thumbnails 数组 → 提取图片 URL
  • JSON 为空或报错 no 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"
  • 报错含 login / authentication → 需要登录(见故障排除)
  • 其他错误 → 报告具体错误信息

图片下载:

从 JSON 的 thumbnails 数组提取所有图片 URL,替换 name=smallname=mediumname=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)。

4. 汇报结果

下载完成后,用 ls -lh 列出已下载的文件:文件名、大小、路径。

故障排除

需要登录

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"

推文无媒体

纯文字推文没有可下载的媒体。告知用户即可。

how to use ljg-x-download

How to use ljg-x-download on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add ljg-x-download
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/lijigang/ljg-skills --skill ljg-x-download

The skills CLI fetches ljg-x-download from GitHub repository lijigang/ljg-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ljg-x-download

Reload or restart Cursor to activate ljg-x-download. Access the skill through slash commands (e.g., /ljg-x-download) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.543 reviews
  • Ganesh Mohane· Dec 28, 2024

    ljg-x-download has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Benjamin White· Dec 20, 2024

    Useful defaults in ljg-x-download — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aanya Harris· Dec 12, 2024

    Keeps context tight: ljg-x-download is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Fatima Jackson· Dec 8, 2024

    ljg-x-download is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Nasser· Nov 27, 2024

    Solid pick for teams standardizing on skills: ljg-x-download is focused, and the summary matches what you get after install.

  • Michael Thompson· Nov 7, 2024

    ljg-x-download has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Noor Johnson· Nov 3, 2024

    I recommend ljg-x-download for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kabir Abebe· Oct 26, 2024

    Useful defaults in ljg-x-download — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noor Malhotra· Oct 22, 2024

    ljg-x-download reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Mensah· Oct 18, 2024

    We added ljg-x-download from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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