twitter▌
starchild-ai-agent/official-skills · updated Apr 8, 2026
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Read-only Twitter/X data lookup for tweets, users, followers, and engagement metrics.
- ›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
Twitter / X Data
Read-only access to Twitter/X via twitterapi.io. Use these tools to look up tweets, users, followers, and social activity.
⚡ FAST PATHS (act immediately, no clarification needed)
| 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 |
Tool Decision Tree
"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.
Available Tools
| 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 |
Usage Patterns
⚠️ Token Budget Rules
- Sentiment scan: max 3
twitter_search_tweetscalls (one per coin), then summarize. Stop. - Account research: max 2 tool calls total unless user asks for more depth.
- Never chain more than 5 Twitter tool calls in one response.
Research an account
twitter_user_info— get profile, follower count, biotwitter_user_tweets— see what they've been postingtwitter_user_followings— who they follow (reveals interests)
Track a topic or token
twitter_search_tweetswith query like"$SOL min_faves:50"— find popular tweetstwitter_search_userswith the topic — find relevant accounts
Output Constraints (IMPORTANT for small models)
- Max 1
twitter_search_tweetscall per coin/topic — do not repeat searches for same query. - Max 3
twitter_user_infocalls per response — profile lookups are expensive; only look up the most relevant accounts. - Never call
bashorwrite_filefor Twitter data — summarize results inline in your reply. - Sentiment summaries: after fetching tweets, write a short inline summary (3–5 sentences). Do not produce files or run scripts.
- Pagination: only fetch next page if user explicitly asks for more results.with
twitter_user_infoon interesting accounts
Analyze engagement on a tweet
twitter_get_tweets— get the tweet and its metricstwitter_tweet_replies— see the conversationtwitter_tweet_retweeters— see who amplified it
Find influencers in a space
twitter_search_userswith keyword (e.g. "DeFi analyst")twitter_user_infoon top results to compare follower countstwitter_user_tweetsto check content quality
Search Query Operators
The 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
Pagination
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.
Notes
- API key required: Set
TWITTER_API_KEYenvironment variable. Tools will error without it. - Read-only: These tools only retrieve data. No posting, liking, or following.
- Usernames: Always pass without the
@prefix (e.g."elonmusk"not"@elonmusk"). - Tweet IDs: Use string format for tweet IDs to avoid integer overflow issues.
- Rate limits: The API has rate limits. If you get rate-limited, wait before retrying.
How to use twitter on Cursor
AI-first code editor with Composer
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 twitter
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches twitter from GitHub repository starchild-ai-agent/official-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate twitter. Access the skill through slash commands (e.g., /twitter) 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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★34 reviews- ★★★★★Anika Bhatia· Dec 28, 2024
Solid pick for teams standardizing on skills: twitter is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Dec 16, 2024
Useful defaults in twitter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chen Jain· Dec 16, 2024
twitter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 8, 2024
Keeps context tight: twitter is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yash Thakker· Nov 27, 2024
Registry listing for twitter matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noor Khanna· Nov 19, 2024
We added twitter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Michael Desai· Nov 7, 2024
twitter reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Michael Gupta· Oct 26, 2024
Registry listing for twitter matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Oct 18, 2024
twitter reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anaya Torres· Oct 10, 2024
twitter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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