Data Analysis & Reporting

AI skills for financial analysis, NLP earnings sentiment, CSV data analysis, ECL computation, insurance loss reserving, and variance analysis.

10 skills

Finance AI Skills are instruction files for AI agents. They do not constitute financial, legal, tax, or investment advice. Always verify AI-generated outputs with a qualified professional before acting on them. Finatune is not responsible for outcomes resulting from use of these skill files.

FreeMIT

CSV Financial Data Analysis

Automatically analyze financial CSV datasets with descriptive statistics, pattern detection, and visualizations.

Author: coffeefuelbump

ClaudeCursorChatGPT

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FreeMIT

ECL Computation

Calculate Expected Credit Loss under IFRS 9 using PD, LGD, and EAD models with stage classification.

Financial Analysis

Perform comprehensive financial statement analysis with trend identification, ratios, and benchmark comparisons.

Insurance Loss Reserving

Calculate insurance loss reserves using chain ladder and Bornhuetter-Ferguson actuarial methods.

Manufacturing Variance Analysis

Calculate material, labor, and overhead cost variances with root cause analysis for manufacturing.

NLP Earnings Sentiment

Analyze sentiment in earnings call transcripts and detect tone shifts in management commentary.

Financial Data Governance

Establish financial data governance frameworks including data quality standards and lineage documentation.

Financial Health Scores

Calculate Altman Z-Score and Piotroski F-Score for financial health assessment of public companies.

Author: OctagonAI

ClaudeClaude CodeCursor

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FreeMIT

Market Data Aggregator

Fetch stock, ETF, index, and options data from Yahoo Finance, Alpaca, and SEC EDGAR APIs.

Author: gauss314 / UCEMA

Claude CodeCursorCodex

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FreeMIT

SEC Financial Data Analysis

Access SEC EDGAR XBRL data for 5+ years of financial statements across US-GAAP and IFRS filers.

Author: gauss314 / UCEMA

Claude CodeCursorCodex

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