fetch-tweet

ai-native-camp/camp-2 · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/ai-native-camp/camp-2 --skill fetch-tweet
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summary

X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오는 스킬.

  • FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용하여 JavaScript 없이 트윗 데이터를 추출한다.
skill.md

Fetch Tweet

X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오는 스킬. FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용하여 JavaScript 없이 트윗 데이터를 추출한다.

How It Works

X/Twitter URL의 도메인을 api.fxtwitter.com으로 변환하면 JSON으로 트윗 전체 데이터를 반환한다.

https://x.com/user/status/123456
  → https://api.fxtwitter.com/user/status/123456

Script

scripts/fetch_tweet.py - 표준 라이브러리만 사용, 외부 의존성 없음.

# 기본 사용 (포맷팅된 출력)
python scripts/fetch_tweet.py https://x.com/garrytan/status/2020072098635665909

# JSON 출력 (프로그래밍 활용)
python scripts/fetch_tweet.py https://x.com/garrytan/status/2020072098635665909 --json

지원 URL 형식: x.com, twitter.com, fxtwitter.com, fixupx.com

API Response Fields

필드 설명
tweet.text 트윗 본문 (URL 확장됨)
tweet.author 작성자 (name, screen_name, bio, followers)
tweet.likes/retweets/replies/bookmarks/views 인게이지먼트
tweet.created_at 작성 일시
tweet.media 첨부 미디어 (photos, videos)
tweet.quote 인용 트윗 (동일 구조)
tweet.lang 언어 코드

Workflow

단일 트윗 가져오기

  1. URL에서 screen_name과 status_id를 추출
  2. scripts/fetch_tweet.py <url> 실행
  3. 결과를 사용자에게 표시하거나 번역

번역 요청 시

  1. 스크립트로 원문 fetch
  2. 가져온 텍스트를 한국어로 번역하여 제공
  3. 인게이지먼트 수치도 함께 표시

다른 스킬과 연동

Contents Hub 등에서 수집한 X URL 목록을 일괄 처리할 때:

# JSON 출력으로 파이프라인 연동
python scripts/fetch_tweet.py <url> --json | python3 -c "import sys,json; print(json.load(sys.stdin)['tweet']['text'])"

WebFetch Fallback

스크립트 실행이 어려운 경우 WebFetch 도구로 직접 API 호출 가능:

URL: https://api.fxtwitter.com/{screen_name}/status/{status_id}
Prompt: "Extract the full tweet text and author name"

Limitations

  • 비공개 계정 트윗은 조회 불가
  • 삭제된 트윗은 조회 불가
  • API rate limit은 FxEmbed 서버 정책에 따름 (일반 사용 수준에서는 문제 없음)
how to use fetch-tweet

How to use fetch-tweet 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 fetch-tweet
2

Execute installation command

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

$npx skills add https://github.com/ai-native-camp/camp-2 --skill fetch-tweet

The skills CLI fetches fetch-tweet from GitHub repository ai-native-camp/camp-2 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/fetch-tweet

Reload or restart Cursor to activate fetch-tweet. Access the skill through slash commands (e.g., /fetch-tweet) 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

4.863 reviews
  • Lucas Thomas· Dec 24, 2024

    Registry listing for fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Zaid Ramirez· Dec 20, 2024

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

  • Pratham Ware· Dec 4, 2024

    Registry listing for fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 23, 2024

    fetch-tweet reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Ghosh· Nov 15, 2024

    fetch-tweet reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Emma Sharma· Nov 11, 2024

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

  • Mia Nasser· Nov 7, 2024

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

  • Isabella Sharma· Oct 26, 2024

    Registry listing for fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Oct 14, 2024

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

  • Fatima Gonzalez· Oct 6, 2024

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

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