Skills

X API

Search X (Twitter) posts, pull user profiles, fetch specific tweets, and read reply...

Install

npx skills add ginlix-ai/LangAlpha --skill x-api -g -a claude-code -y
Repository
ginlix-ai/LangAlpha2.2k
Category
Writing
Updated
3d ago
License
Apache-2.0
Context cost
Lightabout 1,160 tokens
Runs scripts
No, instructions only

What it does

Search X (Twitter) posts, pull user profiles, fetch specific tweets, and read reply threads for sentiment, news, and event research. Triggers on 'X', 'Twitter', 'tweets about', 'sentiment on', 'what are people saying about', 'historical tweets', or any request to read public X content.

X (Twitter) API

Read-only access to X content via five MCP tools. Use for sentiment on tickers, exec announcements, launches, event tracking, and qualitative research alongside SEC/market data.

Not for single-post URL lookups. If the user hands you a specific X post URL and just wants its text or context, use web_fetch on the URL, no vault, no auth, no rate limit. Reach for this skill when the task is search, aggregation, or thread traversal.

Auth

Every tool requires a bearer_token. Read it once per code block from the vault:

from vault import get
token = get("X_BEARER_TOKEN")

If token is None or empty, the user hasn't added it yet. For the setup walkthrough and per-error fixes, see TROUBLESHOOTING.md.

Tools at a glance

The primary use case is search, the first two tools are what you'll reach for most.

ToolUse forPage sizeNotes
search_postsPosts from the last ~7 daysdefault 10, max 100Default choice. Query ≤512 chars.
search_all_postsPosts older than 7 days (back to 2006)default 10, max 500Paid-tier X plan only. Query ≤1024 chars.
get_conversationReply thread to a root tweetdefault 50, max 100Uses recent search, thread must be ≤7 days old. Root tweet not included.
get_user_by_usernameA user profile + metrics,Handle without @, ≤15 chars.
get_tweet_by_idHydrate a single post (mainly to find its conversation_id before get_conversation),For a one-off URL the user already has, prefer web_fetch.

Examples

Recent sentiment on a ticker

res = search_posts(
    query="$NVDA -is:retweet lang:en",
    bearer_token=token,
    max_results=100,
)
posts = res["posts"]
posts.sort(key=lambda p: p["public_metrics"].get("impression_count", 0), reverse=True)
for p in posts[:10]:
    print(p["author"]["username"], p["public_metrics"].get("like_count"), p["text"][:140])
Read the whole SKILL.md on GitHub

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