X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오는 스킬.
Works with
FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용하여 JavaScript 없이 트윗 데이터를 추출한다.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfetch-tweetExecute the skills CLI command in your project's root directory to begin installation:
Fetches fetch-tweet from ai-native-camp/camp-2 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 fetch-tweet. Access via /fetch-tweet 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
0
total installs
0
this week
14
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
14
stars
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.
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
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
| 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 |
scripts/fetch_tweet.py <url> 실행Contents 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'])"
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"
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
Registry listing for fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: fetch-tweet is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.
fetch-tweet reduced setup friction for our internal harness; good balance of opinion and flexibility.
fetch-tweet reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend fetch-tweet for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: fetch-tweet is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend fetch-tweet for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend fetch-tweet for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 63