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Use for generic X public-data research, trend discovery, recent-post checks, and social attention signals. Provides app-only bearer auth, endpoint patterns, field selection, error handling, and compact JSON evidence guidance.
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Basierend auf der SOC-Berufsklassifikation
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| name | x-trends |
| description | Use for generic X public-data research, trend discovery, recent-post checks, and social attention signals. Provides app-only bearer auth, endpoint patterns, field selection, error handling, and compact JSON evidence guidance. |
Use X as an attention and recency signal. This skill explains how to query public X endpoints and return compact evidence. The caller owns interpretation.
Use app-only bearer auth for public reads:
TOKEN="${X_BEARER_TOKEN:-$TWITTER_BEARER_TOKEN}"
Never print token values.
Use WOEID trend lookup first when a suitable WOEID is known:
curl -fsS "https://api.x.com/2/trends/by/woeid/1?max_trends=20&trend.fields=trend_name,tweet_count" \
-H "Authorization: Bearer $TOKEN"
Useful WOEIDs:
| Place | WOEID |
|---|---|
| Worldwide | 1 |
| India | 23424848 |
| Mumbai | 2295411 |
| Delhi | 20070458 |
| Bengaluru | 2295420 |
| United States | 23424977 |
| New York | 2459115 |
| London | 44418 |
For an unknown city/country, use worldwide plus the closest known country/city and note uncertainty.
If WOEID trends are unavailable, too broad, or opaque, use recent search for caller-supplied terms. Always request explicit fields because defaults are minimal.
curl -fsS "https://api.x.com/2/tweets/search/recent?max_results=25&query=<url-encoded-query>&tweet.fields=created_at,public_metrics,lang" \
-H "Authorization: Bearer $TOKEN"
Useful fields:
tweet.fields=created_at,public_metrics,langexpansions=author_id when author context mattersuser.fields=verified,public_metrics when author context is requestedWhen the caller supplies multiple markets, WOEIDs, topics, or query angles, run independent API calls in parallel when practical. Keep the merged return compact.
Parallelism is API-level. Do not spawn additional Codex subagents from this skill.
Return compact JSON-like evidence:
{
"source": "x",
"markets": ["worldwide", "india", "mumbai"],
"trendSignals": [
{
"name": "trend name",
"markets": ["india", "mumbai"],
"tweetCountMax": 12345,
"recentSearchQuery": null,
"notes": "short factual signal summary"
}
],
"errors": []
}