fund-manager-deep-research

What problem does it solve?

This Skill eliminates the tedious, time-consuming manual work of researching and evaluating fund managers, which requires cross-referencing years of performance data, quarterly holdings, public interviews, and peer comparisons to produce structured, in-depth, data-backed analysis.

Core Features & Use Cases

• Longitudinal Career Analysis: Restores the full trajectory of a fund manager's career, investment style evolution, and key decision nodes with narrative-driven storytelling.
• Cross-sectional Peer Benchmarking: Compares the target fund manager with 3-5 top peers in the same strategy track across investment ability, framework, and holder experience.
• Specialized Analysis Modules: Includes stock selection effectiveness validation (for all equity-holding funds), bond market view assessment (for fixed income+ funds), and asset allocation analysis (for FOF funds).
• Interview Cross-verification: Validates stated investment frameworks against actual holdings and public statements to ensure consistency.
• Report Generation: Outputs 12,000-25,000 word narrative deep evaluation reports, with optional PDF export.
• Use Case: For example, if you need to evaluate whether a leading consumption sector fund manager is worth investing in, or compare the investment styles of two peer quantitative fund managers, this Skill can generate a comprehensive, data-backed evaluation report for you.

Quick Start

Use the fund-manager-deep-research skill to generate a deep evaluation report for fund manager Zhang Kun, including longitudinal career analysis, cross-sectional peer comparison, and stock selection effectiveness validation, and export it as a PDF.