What is alphaear-sentiment?
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets. Source: rkiding/awesome-finance-skills.
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
Quickly install alphaear-sentiment AI skill to your development environment via command line
Source: rkiding/awesome-finance-skills.
This skill provides sentiment analysis capabilities tailored for financial texts, supporting both FinBERT (local model) and LLM-based analysis modes.
Use scripts/sentimenttools.py for high-speed, local sentiment analysis using FinBERT.
For higher accuracy or reasoning capabilities, YOU (the Agent) should perform the analysis using the Prompt below, calling the LLM directly, and then update the database if necessary.
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets. Source: rkiding/awesome-finance-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/rkiding/awesome-finance-skills --skill alphaear-sentimentAnalyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets. Source: rkiding/awesome-finance-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/rkiding/awesome-finance-skills --skill alphaear-sentiment Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/rkiding/awesome-finance-skills