alphaear-sentiment

by RKiding3.1k

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.

Install

The skill file stays in the publisher's repository.

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

npx skills add RKiding/Awesome-finance-skills --skill alphaear-sentiment -a cursor -y

Download skill skills/alphaear-sentiment/SKILL.md on GitHub

Related skills

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Questions

How do I install alphaear-sentiment?: Download skills/alphaear-sentiment/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does alphaear-sentiment live?: The publisher keeps it at https://github.com/RKiding/Awesome-finance-skills.
Which agents can use alphaear-sentiment?: Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.

name: alphaear-sentiment description: 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.

AlphaEar Sentiment Skill

Overview

This skill provides sentiment analysis capabilities tailored for financial texts, supporting both FinBERT (local model) and LLM-based analysis modes.

Capabilities

1. Analyze Sentiment (FinBERT / Local)

Use scripts/sentiment_tools.py for high-speed, local sentiment analysis using FinBERT.

alphaear-sentiment

Install

Related skills

Questions

name: alphaear-sentiment description: 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.

AlphaEar Sentiment Skill

Overview

Capabilities

Capabilities

1. Analyze Sentiment (FinBERT / Local)

2. Analyze Sentiment (LLM / Agentic)

Sentiment Analysis Prompt

Helper Methods

Dependencies