Generate structured QRD documents for quantitative finance research.
npx skills add https://github.com/tomlupo/ai-playground --skill qrd
Please help me install this Agent Skill. Skill: qrd Source: https://github.com/tomlupo/ai-playground/tree/main/.claude/skills/qrd Command: npx skills add https://github.com/tomlupo/ai-playground --skill qrd
The QRD Skill provides a structured template to capture hypotheses, data requirements, methodology, acceptance criteria, and implementation tasks for quantitative research and development projects, enabling consistent, reproducible QRD documents that guide autonomous agents and human reviewers.
Run a QRD generation for a momentum-based alpha with a 3-month backtest and a target Sharpe of 1.5.
High-intent search queries and answers about installing and using this skill.
A QRD document in quantitative finance is a structured template capturing hypotheses, data requirements, methodology, acceptance criteria, and implementation tasks to ensure consistent, reproducible research workflows for both autonomous agents and human reviewers.
You generate a QRD for alpha signal development by defining your hypotheses, data needs, methodology, and acceptance criteria, such as specifying a momentum-based alpha with a 3-month backtest and a target Sharpe ratio of 1.5 for autonomous execution.
Yes, QRD documents support multi-project applicability across multiple asset classes, allowing you to structure specifications for risk model design, portfolio construction, and backtesting frameworks within quantitative finance research.
The best way to structure quantitative research for autonomous agents is using a standardized QRD format that explicitly outlines implementation tasks, methodology, and acceptance criteria, ensuring the research workflow is reproducible and actionable.
You need acceptance criteria and data requirements in backtesting documentation to establish clear performance targets, such as a specific Sharpe ratio, and define necessary inputs, enabling consistent evaluation and reproducibility of your quantitative research.
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