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build-strategy-spec

Convert strategy ideas into validated strategy_spec.yaml files using canonical recipes.

116|38|Updated Feb 26, 2026
Search Tags:#AI agent#multi-agent#reproducible research#component catalog#spec validation#quant strategy#strategy spec
One-click install
npx skills add https://github.com/xingwudao/open-xquant --skill build-strategy-spec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-strategy-spec
Source: https://github.com/xingwudao/open-xquant/tree/main/agent/skills/build-strategy-spec
Command: npx skills add https://github.com/xingwudao/open-xquant --skill build-strategy-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents generating quant strategy specifications often hallucinate invalid components, skip required validation steps, or produce inconsistent specs that break the reproducibility of backtest results, which is critical for trustworthy financial research.

Core Features & Use Cases

  • Converts user strategy ideas into valid strategy_spec.yaml files using the official open-xquant component catalog and canonical recipes to eliminate hallucinated custom components.
  • Enforces mandatory component catalog checks, records explicit default choices, and runs deterministic spec validation to ensure spec consistency across different agent runs.
  • Writes structured phase result artifacts for downstream multi-agent orchestration, and blocks invalid actions like inventing custom components or running unauthorized backtests.
  • Use Case: If a user asks an AI agent to build a 20-day ROC timing strategy spec, this skill ensures it uses the official roc_timing recipe instead of a hallucinated component, validates the spec, and outputs the required artifacts for the next research phase.

Quick Start

Use the build-strategy-spec skill to create a validated strategy_spec.yaml for my top 10 positive momentum rotation strategy for US equities.

Frequently Asked Questions about build-strategy-spec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent AI agents from hallucinating invalid components in quant strategy specs?▼

To prevent hallucinated components in quant strategy specs, use deterministic spec validation against an official component catalog to enforce canonical recipes and block unauthorized custom components, ensuring reproducible financial research outputs.

How to build valid strategy_spec.yaml files for multi-agent quant workflows?▼

Build valid strategy_spec.yaml files by converting strategy ideas using the official open-xquant component catalog and canonical recipes, enforcing mandatory component checks, recording default choices, and running deterministic spec validation.

Why does my AI agent produce inconsistent quant strategy specifications across different runs?▼

Inconsistent quant strategy specifications occur when AI agents skip required validation steps or invent custom components. Applying deterministic spec validation with mandatory component catalog checks ensures spec consistency across separate agent runs.

What is the best way to standardize strategy specs for multi-agent quant research?▼

The best way to standardize strategy specs for multi-agent quant research is to enforce canonical recipe usage, apply deterministic spec validation, and write structured phase result artifacts for downstream orchestration of separate agents.

Can I use custom components when building quant strategy specs with AI agents?▼

No, you cannot use custom components when building quant strategy specs. The validation process blocks invalid actions like inventing custom components, requiring the use of official catalog components and canonical recipes instead.

Do I need structured phase result artifacts for multi-agent quant orchestration?▼

Yes, structured phase result artifacts are required for downstream multi-agent orchestration. They provide the validated strategy spec inputs needed by separate agents handling strategy building, auditing, backtesting, and reporting.

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