Fetch X/Twitter tweets with summaries, insights, and full Korean translations via a three-stage pipeline.
Works with
Extracts tweet text, author info, and engagement metrics (likes, retweets, views) using the FxEmbed API without JavaScript execution
Supports multiple URL formats: x.com, twitter.com, fxtwitter.com, and fixupx.com
Delivers insights in three stages: concise summary with author context, three-point analysis (core message, industry implications, personal relevance), then full natura
X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오고 요약-인사이트-전체 번역 3단계 파이프라인으로 제공하는 스킬.
FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용한다.
JavaScript 없이 트윗 데이터를 추출할 수 있다.
screen_name과 status_id를 추출한다api.fxtwitter.com으로 변환한다https://x.com/garrytan/status/123456
→ https://api.fxtwitter.com/garrytan/status/123456
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 / views |
인게이지먼트 수치 |
tweet.created_at |
작성 일시 |
tweet.media |
첨부 미디어 (photos, videos) |
tweet.quote |
인용 트윗 (동일 구조) |
전체 번역을 바로 보여주지 않는다. 단계별로 제공하여 이해도를 높인다.
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, author name, and engagement metrics"
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmy-fetch-tweetExecute the skills CLI command in your project's root directory to begin installation:
Fetches my-fetch-tweet from ai-native-camp/camp-1 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 my-fetch-tweet. Access via /my-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.
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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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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 my-fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for my-fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: my-fetch-tweet is the kind of skill you can hand to a new teammate without a long onboarding doc.
my-fetch-tweet is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
my-fetch-tweet fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in my-fetch-tweet — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
my-fetch-tweet is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: my-fetch-tweet is focused, and the summary matches what you get after install.
my-fetch-tweet reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for my-fetch-tweet matched our evaluation — installs cleanly and behaves as described in the markdown.
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