twitter

starchild-ai-agent/official-skills · updated Apr 8, 2026

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$npx skills add https://github.com/starchild-ai-agent/official-skills --skill twitter
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summary

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
skill.md

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_tweets calls (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

  1. twitter_user_info — get profile, follower count, bio
  2. twitter_user_tweets — see what they've been posting
  3. twitter_user_followings — who they follow (reveals interests)

Track a topic or token

  1. twitter_search_tweets with query like "$SOL min_faves:50" — find popular tweets
  2. twitter_search_users with the topic — find relevant accounts

Output Constraints (IMPORTANT for small models)

  • Max 1 twitter_search_tweets call per coin/topic — do not repeat searches for same query.
  • Max 3 twitter_user_info calls per response — profile lookups are expensive; only look up the most relevant accounts.
  • Never call bash or write_file for 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_info on interesting accounts

Analyze engagement on a tweet

  1. twitter_get_tweets — get the tweet and its metrics
  2. twitter_tweet_replies — see the conversation
  3. twitter_tweet_retweeters — see who amplified it

Find influencers in a space

  1. twitter_search_users with keyword (e.g. "DeFi analyst")
  2. twitter_user_info on top results to compare follower counts
  3. twitter_user_tweets to 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_KEY environment 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

How to use twitter 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 twitter
2

Execute installation command

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

$npx skills add https://github.com/starchild-ai-agent/official-skills --skill twitter

The skills CLI fetches twitter from GitHub repository starchild-ai-agent/official-skills 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/twitter

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

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

4.634 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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