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Awesome-omni-skill twitter-stock-sentiment

Analyze Twitter/X sentiment for stocks using $cashtags. Track mentions, sentiment scores, influencer activity, and trending discussions for any ticker.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/tools/twitter-stock-sentiment" ~/.claude/skills/diegosouzapw-awesome-omni-skill-twitter-stock-sentiment && rm -rf "$T"
manifest: skills/tools/twitter-stock-sentiment/SKILL.md
source content

Twitter Stock Sentiment

Analyzes Twitter/X sentiment for stocks using the bird CLI and $cashtag tracking.

Features

  • Mention Volume: Track tweet counts for any $TICKER
  • Sentiment Analysis: Bull/neutral/bear scoring using NLP
  • Influencer Tracking: Identify high-follower accounts discussing the stock
  • Trending Hashtags: Associated tags and themes
  • Crisis Detection: Spikes in negative sentiment
  • 7-day Trends: Volume and sentiment changes

Usage

./analyze.sh AAPL
./analyze.sh TSLA --days 30

Output Format

Markdown report with:

  • Sentiment score (-1 to +1)
  • Mention volume and trend
  • Top influencer tweets
  • Hashtag analysis
  • Notable sentiment shifts

Requirements

  • bird CLI installed (
    brew install steipete/tap/bird
    )
  • Authenticated Twitter/X session

Installation

  1. Clone this repository to your skills folder
  2. Install bird CLI: 
    brew install steipete/tap/bird
  3. Authenticate with Twitter/X: 
    bird auth
  4. Install Python dependencies: 
    pip install -r requirements.txt

How It Works

  1. analyze.sh
    fetches recent tweets mentioning the $TICKER using bird CLI
  2. sentiment.py
    performs NLP analysis on tweet text using VADER
  3. Results are aggregated and formatted as a Markdown report
  4. Influencer tracking identifies high-follower accounts
  5. Hashtag extraction reveals trending themes

Configuration

Edit 

analyze.sh
to customize:

  • Number of tweets to fetch (default: 100)
  • Time window (default: 7 days)
  • Sentiment thresholds for crisis detection