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
This skill analyzes multi-year financial data to detect trends, anomalies, and audit risks, enabling proactive tax planning using historical transactional data.
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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