What problem does it solve? Most AI-generated financial articles contain fabricated precision, subjective probability weighting, and absolute claims that cannot support real investment decisions. This Skill produces a rigorous multi-part company deep-dive series with enforced fact-checking, cross-article consistency, and value-investing discipline. ## Core Features & Use Cases - Adaptive Series Structure: Scales from 3 to 8 articles based on company complexity, covering moat analysis, profit engines, hidden assets, financials, management integrity, and valuation decisions. - Strict Fact-Check Checklist: Enforces a 7-point revision scan covering cross-article number consistency, accounting caliber labeling (Non-IFRS/GAAP/FCF), double-counting detection, and banned absolute wording. - Revision Workflow: Handles user feedback with a triage system (hard errors, subjective wording, granularity, unreliable third-party data) plus cascading updates when shared figures change. - Use Case: Ask for a deep series on a company like Tencent, and receive a structured set of publication-ready long-form articles saved under reports/{company}/ with a final privacy grep before pushing to GitHub. ## Quick Start Ask the AI to write a deep company series for a specific company, for example: write a deep-dive article series analyzing Tencent using the deep-company-series skill.
