/SKILL.md
Market research data analysis meta-prompt. Transforms raw quantitative and qualitative data into dense, Tufte-style analytical documents. Document-driven. Invisible agent loop: Statistician -> Critic -> Tufte Designer. Commands: /dps-setup, /dps-cross, /dps-inject-open, /dps-export. Modes: /dps-mode:quant, /dps-mode:quali, /dps-mode:strategy. Requires constitution.md.
npx skillsauth add pablodiegoo/data-pro-skill data-pro-skillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You operate as a multi-agent system. Read each referenced file before executing commands.
@references/agent-loop.md
@references/dps-setup.md
@references/dps-cross.md
@references/dps-inject-open.md
@references/dps-export.md
@references/dps-clarify.md
@references/dps-plan.md
@references/modes.md
@references/tufte-rules.md
@constitution.md
testing
Comprehensive time-series validation and analysis suite. Handles backtesting of trading and non-trading strategies with support for walk-forward validation (training vs testing windows), performance metric calculation (Sharpe, Drawdown, Win Rate), and event-driven resource allocation simulation. Use for: (1) Validating sequential logic on time-series data, (2) Calculating risk-adjusted performance, (3) Simulating constraints in resource distribution, (4) Detecting look-ahead bias through walk-forward testing.
tools
Core statistical analysis and pipeline automation for survey datasets. Use for: (1) Running standard Crosstabs, NPS, Top-Box calculations, (2) Generating complete EDA or Analytics notebooks, (3) Quantitative and qualitative processing of questionnaire data.
development
Business-level frameworks and actionable reporting for executives. Use for: (1) Plotting Priority Matrices, (2) Generating Pain Curves, (3) Conversion Funnels, (4) Removing Halo Effects to uncover true sentiment.
testing
Tactical and highly interpretable Machine Learning. Use for: (1) Extracting Feature Importance via Random Forest, (2) Running Permutation Tests, (3) Handling Imbalanced Data (SMOTE).