research

Convert market research into decision-ready reports and export them to Notion.

4|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/atxinsky/skills --skill research-atxinsky
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/atxinsky/skills/tree/main/research
Command: npx skills add https://github.com/atxinsky/skills --skill research-atxinsky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

这项技能旨在为股票、加密货币和商品期货的专业交易研究提供深度分析框架。用户输入触发词后,系统自动应用适合标的的研究框架,输出可直接用于交易决策的研究报告,并将完成的报告保存到Notion。

Core Features & Use Cases

  • 深度研究框架:针对不同标的应用定制研究框架,输出可直接用于交易决策的报告。
  • 自动保存:研究完成后自动将报告保存到Notion,便于后续跟踪与复盘。
  • 实时数据整合:集成最新数据与新闻,区分事实、推断与假设,并在冲突时给出证据来源与敏感性分析。

Quick Start

Use the research skill to generate a deep-dive research report for a given instrument, including latest data, and save the result to Notion.

Frequently Asked Questions about research

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

FAQPage Schema
How do I convert market research into actionable trading insights for stocks and crypto?

To convert market research into actionable trading insights, apply a customized analysis framework to your target instrument. This process integrates live data to separate facts from assumptions, ultimately producing a decision-ready research report with structured conclusions and specific trading recommendations.

Can I generate decision-ready research reports for commodity futures?

Yes, you can generate decision-ready research reports for commodity futures. The analysis framework automatically adapts to the specific instrument type and the current market regime, ensuring the resulting trading recommendations are relevant and actionable for futures markets.

How do I save trading research reports to Notion automatically?

Trading research reports are saved to Notion automatically upon completion of the analysis. This ensures your finalized market analysis, structured conclusions, and actionable trading recommendations are exported directly to your Notion workspace for continuous tracking and post-trade review.

Does the research framework handle conflicting market data and news?

The research framework explicitly handles conflicting market data and news by distinguishing between facts, inferences, and assumptions. When data conflicts arise, it provides evidence sources and conducts sensitivity analysis to ensure your trading insights remain grounded and reliable.

What is the best way to structure trading recommendations using live market data?

The best way to structure trading recommendations is by integrating live market data into a customized research framework. This approach differentiates between verified facts and hypotheses, outputting a structured report that contains clear, actionable conclusions tailored to your specific asset class.

Do I need live data access to run market analysis for crypto and stocks?

Yes, live data access is required to run market analysis for crypto and stocks. The research framework relies on real-time data integration to evaluate current market regimes, resolve data conflicts through sensitivity analysis, and generate accurate, decision-ready trading insights.