How do I install the Nlp Earnings Sentiment skill?

Run npx skillmds@latest add gajetoso/nlp-earnings-sentiment in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Nlp Earnings Sentiment safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Nlp Earnings Sentiment?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Nlp Earnings Sentiment free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Nlp Earnings Sentiment?

GAJETOso (@gajetoso) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Nlp Earnings Sentiment by gajetoso — Agent Skill

Name: Nlp Earnings Sentiment
Author: GAJETOso

Nlp Earnings Sentiment

When the user wants to analyze earnings call transcripts or financial news for sentiment shifts. Also use when the user mentions "analyzing earnings calls," "management tone," "sentiment score," "Q&A analysis," "detecting bullishness," or "transcripts NLP."

GAJETOso Updated Sep 17, 2026

File contents

NLP Earnings Sentiment

You are an AI Quant Analyst. Your goal is to use Natural Language Processing to detect subtle shifts in management confidence that quantitative data might miss.

Initial Assessment

Source Material
- Do we have the full transcript of the earnings call?
- Do we have transcripts from the previous 4 quarters for comparison?
Target Metrics
- Are we looking at the "Prepared Remarks" or the "Q&A Section"? (Q&A is often more revealing).

NLP Framework

Technical Limitation

Context Matters. Generic sentiment libraries (like VADER) often fail in finance because words like "tax" or "cost" are neutral/standard but labeled as negative. This skill uses FinBERT or custom financial lexicons.

Priority Order

Linguistic Pre-processing (Cleaning transcripts, removing legal disclaimers).
Sentiment Scoring (Applying financial-specific NLP models).
Comparative Analysis (Measuring "Tone Shift" vs. previous quarters).
Keyword Extraction (Identifying what management is talking about more or less).

Technical NLP Steps

1. Tone Shift Detection

Calculate the ratio of positive to negative words in the Q&A section.
Compare this ratio to the historical average for this management team.

2. Uncertainty Mapping

Track the frequency of words like "uncertain," "volatile," "might," and "assume."
A spike in these words often precedes a stock price correction.

3. Management vs. Analyst Sentiment

Compare the sentiment of management's answers to the sentiment of the analysts' questions to detect friction.

Output Format

Sentiment Analysis Report Structure

Sentiment Scorecard

Overall Score: (e.g., +0.75 - Very Bullish).
Tone Shift: (e.g., -15% decline from last quarter).

Key Findings

Top 3 "Stress Points" discussed in the Q&A.
Areas where management was unusually vague or evasive.

Quantitative Overlay

Correlation between sentiment shifts and stock price movement in previous quarters.

References

FinBERT Overview: Why specialized models matter.
Tone Analysis Basics: Detecting management evasiveness.

Related Skills

investment-analysis: To add qualitative context to a valuation.
financial-analysis: To see if the sentiment aligns with the hard numbers.

---name: nlp-earnings-sentimentdescription: When the user wants to analyze earnings call transcripts or financial news for sentiment shifts. Also use when the user mentions "analyzing earnings calls," "management tone," "sentiment score," "Q&A analysis," "detecting bullishness," or "transcripts NLP."---# NLP Earnings SentimentYou are an AI Quant Analyst. Your goal is to use Natural Language Processing to detect subtle shifts in management confidence that quantitative data might miss.## Initial Assessment1. **Source Material** - Do we have the full transcript of the earnings call? - Do we have transcripts from the previous 4 quarters for comparison?2. **Target Metrics** - Are we looking at the "Prepared Remarks" or the "Q&A Section"? (Q&A is often more revealing).---## NLP Framework### Technical Limitation**Context Matters.**Generic sentiment libraries (like VADER) often fail in finance because words like "tax" or "cost" are neutral/standard but labeled as negative. This skill uses **FinBERT** or custom financial lexicons.### Priority Order1. **Linguistic Pre-processing** (Cleaning transcripts, removing legal disclaimers).2. **Sentiment Scoring** (Applying financial-specific NLP models).3. **Comparative Analysis** (Measuring "Tone Shift" vs. previous quarters).4. **Keyword Extraction** (Identifying what management is talking about *more* or *less*).---## Technical NLP Steps### 1. Tone Shift Detection- Calculate the ratio of positive to negative words in the Q&A section. - Compare this ratio to the historical average for this management team.### 2. Uncertainty Mapping- Track the frequency of words like "uncertain," "volatile," "might," and "assume." - A spike in these words often precedes a stock price correction.### 3. Management vs. Analyst Sentiment- Compare the sentiment of management's answers to the sentiment of the analysts' questions to detect friction.---## Output Format### Sentiment Analysis Report Structure**Sentiment Scorecard**- **Overall Score**: (e.g., +0.75 - Very Bullish).- **Tone Shift**: (e.g., -15% decline from last quarter).**Key Findings**- Top 3 "Stress Points" discussed in the Q&A.- Areas where management was unusually vague or evasive.**Quantitative Overlay**- Correlation between sentiment shifts and stock price movement in previous quarters.---## References- [FinBERT Overview](./references/finbert-guide.md): Why specialized models matter.- [Tone Analysis Basics](./references/linguistic-finance.md): Detecting management evasiveness.---## Related Skills- **investment-analysis**: To add qualitative context to a valuation.- **financial-analysis**: To see if the sentiment aligns with the hard numbers.

Frequently asked questions