Twitter Intelligence

SkillSearch

Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Use when asked for Twitter research, social listening, trend analysis, influencer monitoring, sentiment tracking, or competitor social intelligence.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Twitter Intelligence skill

What this skill tells your AI

The instructions your AI receives, as published by sandbaseai/sandbase-skills in research/twitter-intelligence/SKILL.md and read by ahel’s review.

Full-spectrum Twitter/X research and social listening through SandBase. Search public tweets, discover trends, analyze user profiles, and monitor discussions — all read-only, never posts or engages. Read the API map before selecting a capability.

Call SandBase capabilities

For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.

Operating principles

  • Use Twitter data as social signal evidence, not as representative public opinion.
  • Separate observations (tweet volume, engagement, accounts posting) from interpretation (sentiment, trend direction).
  • Preserve attribution: include tweet URLs, usernames, dates, and engagement metrics.
  • Never post, like, retweet, follow, or engage on behalf of the user.
  • Keep monitored accounts and strategy confidential unless sharing is requested.

Workflow

1. Frame the research

Classify the request:

  • Trend discovery: what's trending, emerging topics
  • Topic monitoring: track discussions around a keyword or brand
  • User analysis: profile, content, followers, engagement patterns
  • Sentiment tracking: how people feel about a topic or brand
  • Competitor intelligence: what competitors post and how audiences respond

2. Search tweets

Use twitter_web_search_timeline for keyword-based tweet discovery:

  • Search for brand names, product names, hashtags, or topic phrases
  • Use negative keywords to filter noise
  • Compare search results for competitors side by side

Use twitter_bulk_tweet_search for higher-volume batch searches.

3. Discover trends

Use twitter_web_trending to find what's trending globally or by location.

4. Analyze users

Use twitter_web_user_profile for account details (bio, follower count, verified status). Use twitter_web_user_media and tweet timeline tools for content analysis. Use twitter_web_user_followers / twitter_web_user_followings for network analysis.

5. Deep-dive tweets

Use twitter_web_tweet_detail for specific tweet metrics and thread context. Use twitter_web_latest_post_comments or twitter_web_post_comments for reply analysis.

Output

Return: search scope, tweet volume summary, key accounts involved, sentiment signals, trend indicators, engagement patterns, and evidence gaps.

Example tasks

  • "What are people saying about [brand] on Twitter this week?"
  • "Find trending topics in the AI/tech space right now."
  • "Analyze @competitor's Twitter presence — posting frequency, engagement, top content."
  • "Monitor mentions of [product launch] and summarize sentiment."
  • "Who are the most influential voices discussing [topic] on Twitter?"

Failure handling

  • If SandBase is unavailable, report the failure and do not substitute a direct API.
  • If searches return few results, try broader terms or related hashtags.
  • If a user account is private/suspended, note the gap and continue with available data.

Signals

GitHub stars
164
Forks
12
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
twitter-intelligence
Source
github.com/sandbaseai/sandbase-skills