What problem does it solve? Deep earnings analysis requires multiple expert perspectives and rigorous data verification, but a single-pass review often misses contradictions, hidden risks, and produces reports too dense for public readers. This Skill coordinates a six-agent team to read earnings reports from four value-investing viewpoints, synthesize findings, and polish the result into a publishable WeChat article. ## Core Features & Use Cases - Four-Master Parallel Research: Launches four concurrent agents analyzing the report from Duan Yongping (business essence), Buffett (financial quality), Munger (competitive landscape), and Li Lu (risk signals) perspectives. - Editorial and Reader Review Pipeline: An editor agent rewrites the research draft into a WeChat-friendly article while a reader-reviewer agent scores readability, information value, credibility, and actionability before final sign-off. - Data Rigor Tooling: Uses financial_rigor.py for market cap, valuation, cross-source validation, and three-scenario valuation, plus report_audit.py to sample 15% of data points and issue pass/fail release verdicts. - Use Case: Run it on "Tencent 2025Q4" to receive a synthesized research draft, four individual analyst reports, a reader review, and a final audited WeChat article saved under reports/Tencent/. ## Quick Start Ask the agent to run the earnings team analysis on a company and quarter, for example: analyze Tencent 2025Q4 earnings with the four-master team and produce a publishable article.
