Read-only Twitter/X data lookup for tweets, users, followers, and engagement metrics.
Works with
Nine tools cover tweet search with advanced operators, user profile lookups, follower/following lists, replies, retweets, and user discovery
Supports advanced query syntax including keywords, from/to filters, hashtags, cashtags, engagement thresholds, date ranges, and media/link filters
Cursor-based pagination for browsing large result sets across all endpoints
Requires TWITTER_API_KEY environmen
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontwitterExecute the skills CLI command in your project's root directory to begin installation:
Fetches twitter from starchild-ai-agent/official-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 twitter. Access via /twitter 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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Read-only access to Twitter/X via twitterapi.io. Use these tools to look up tweets, users, followers, and social activity.
| Trigger keywords | Action |
|---|---|
| crypto sentiment / 情绪扫描 / market mood / BTC ETH SOL 讨论 | Call twitter_search_tweets once per coin: "$BTC", "$ETH", "$SOL" — summarize tone, no user profile lookups |
| search tweets about X | Call twitter_search_tweets with the topic |
| who is @username | Call twitter_user_info |
| what did @username post | Call twitter_user_tweets |
"Search for tweets about a topic" → twitter_search_tweets
Advanced query with operators: keywords, from:user, #hashtag, $cashtag, min_faves, date ranges.
"Look up a specific tweet or set of tweets" → twitter_get_tweets
Pass one or more tweet IDs directly.
"Who is this Twitter account?" → twitter_user_info
Profile data: bio, follower count, tweet count, verification.
"What has this account been posting?" → twitter_user_tweets
Recent tweets from a specific user.
"Who follows this account?" → twitter_user_followers
List of followers for a user.
"Who does this account follow?" → twitter_user_followings
List of accounts a user follows.
"What are people saying in reply to this tweet?" → twitter_tweet_replies
Replies to a specific tweet by ID.
"Who retweeted this?" → twitter_tweet_retweeters
Users who retweeted a specific tweet.
"Find accounts related to a topic" → twitter_search_users
Search users by name or keyword.
"Crypto sentiment scan / 情绪扫描 / market mood" → twitter_search_tweets (call once per coin)
For BTC/ETH/SOL sentiment: search "$BTC", "$ETH", "$SOL" separately, then summarize tone inline.
⛔ NEVER call twitter_user_info, twitter_user_followers, or twitter_user_tweets during a sentiment scan — text analysis only.
| Tool | Description | Key Params |
|---|---|---|
twitter_search_tweets |
Advanced tweet search | query (required), cursor |
twitter_get_tweets |
Get tweets by ID | tweet_ids (array, required) |
twitter_user_info |
User profile lookup | username (required) |
twitter_user_tweets |
User's recent tweets | username (required), cursor |
twitter_user_followers |
User's followers | username (required), cursor |
twitter_user_followings |
User's followings | username (required), cursor |
twitter_tweet_replies |
Replies to a tweet | tweet_id (required), cursor |
twitter_tweet_retweeters |
Who retweeted | tweet_id (required), cursor |
twitter_search_users |
Search for users | query (required), cursor |
twitter_search_tweets calls (one per coin), then summarize. Stop.twitter_user_info — get profile, follower count, biotwitter_user_tweets — see what they've been postingtwitter_user_followings — who they follow (reveals interests)twitter_search_tweets with query like "$SOL min_faves:50" — find popular tweetstwitter_search_users with the topic — find relevant accountstwitter_search_tweets call per coin/topic — do not repeat searches for same query.twitter_user_info calls per response — profile lookups are expensive; only look up the most relevant accounts.bash or write_file for Twitter data — summarize results inline in your reply.twitter_user_info on interesting accountstwitter_get_tweets — get the tweet and its metricstwitter_tweet_replies — see the conversationtwitter_tweet_retweeters — see who amplified ittwitter_search_users with keyword (e.g. "DeFi analyst")twitter_user_info on top results to compare follower countstwitter_user_tweets to check content qualityThe twitter_search_tweets tool supports advanced operators:
| Operator | Example | Description |
|---|---|---|
| keyword | bitcoin |
Tweets containing the word |
| exact phrase | "ethereum merge" |
Exact phrase match |
from: |
from:elonmusk |
Tweets by a specific user |
to: |
to:elonmusk |
Tweets replying to a user |
#hashtag |
#crypto |
Tweets with hashtag |
$cashtag |
$BTC |
Tweets with cashtag |
lang: |
lang:en |
Filter by language |
has:media |
has:media |
Tweets with images/video |
has:links |
has:links |
Tweets with URLs |
is:reply |
is:reply |
Only replies |
min_faves: |
min_faves:100 |
Minimum likes |
min_retweets: |
min_retweets:50 |
Minimum retweets |
since: |
since:2024-01-01 |
Tweets after date |
until: |
until:2024-12-31 |
Tweets before date |
Combine operators: from:VitalikButerin $ETH min_faves:100 since:2024-01-01
Most endpoints support cursor-based pagination. When a response includes a cursor value, pass it as the cursor parameter to get the next page. If no cursor is returned, you've reached the end.
TWITTER_API_KEY environment variable. Tools will error without it.@ prefix (e.g. "elonmusk" not "@elonmusk").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
Solid pick for teams standardizing on skills: twitter is focused, and the summary matches what you get after install.
Useful defaults in twitter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
twitter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: twitter is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for twitter matched our evaluation — installs cleanly and behaves as described in the markdown.
We added twitter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
twitter reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for twitter matched our evaluation — installs cleanly and behaves as described in the markdown.
twitter reduced setup friction for our internal harness; good balance of opinion and flexibility.
twitter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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