stock-deep-research-analysis-skills

What problem does it solve?

This Skill enables analysts to conduct structured, high-quality deep-dive research on A-share stocks by standardizing inputs, first-round exploration dimensions, evidence standards, and reporting formats, ensuring timely and evidence-based conclusions.

Core Features & Use Cases

• Define initialization inputs: current time, stock name, stock code, benchmark date, and user requirements to ensure context is current.
• Execute first-round exploration using fixed dimensions from config/queries.json, producing action-oriented insights with explicit evidence and uncertainties.
• Generate high-information-density stock research reports with explicit timelines, confidence levels, and gaps, while supporting both fundamental and technical evidence.
• The approach emphasizes applying the 唐氏 deep research method via the deep-research skill to ensure serial, convergent/divergent exploration across dimensions.

Quick Start

Load the deep-research skill first, then apply this skill's SKILL.md and proceed with the serial, iterative rounds to produce a high-density stock research report.