This skill analyzes multi-year financial data to detect trends, anomalies, and audit risks, enabling proactive tax planning using historical transactional data.
npx playbooks add skill cleanexpo/ato --skill historical_trend_analysis
The Historical_trend_analysis skill analyzes multi-year financial data to detect trends, anomalies, and audit risks, enabling proactive tax planning using historical transactional data. It connects to financial datasets and enables developers to build applications that provide insightful financial analysis. A developer would reach for this skill when building a workflow that requires in-depth examination of historical financial data to inform tax planning decisions.
Its 21-word system prompt specializes your agent in developer workflow with structured methodology and proven output formats. Install with one command to activate immediately.
This skill analyzes multi-year financial data to detect trends, anomalies, and audit risks, enabling proactive tax planning using historical transactional data.
Historical_trend_analysis is a free developer workflow skill for AI coding agents. This skill analyzes multi-year financial data to detect trends, anomalies, and audit risks, enabling proactive tax planning using historical transactional data.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill cleanexpo/ato --skill historical_trend_analysis in your terminal to install Historical_trend_analysis into your Claude Code session. It works immediately after installation.
Historical_trend_analysis is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Historical_trend_analysis is completely free and open source. The full source is available on GitHub at https://github.com/cleanexpo/ato/tree/main/.agent/skills/historical_trend_analysis. You only need a subscription to the AI agent you use it with.
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