What problem does it solve? After a company reports earnings, analysts must manually gather revenue, EPS, guidance, and consensus data from filings and IR materials, then judge whether the existing Rating and Price Target still hold. This Skill standardizes that post-earnings review into a reproducible markdown snapshot. ## Core Features & Use Cases - Official-source-first data collection: Prioritizes DART/KRX for Korean companies, SEC EDGAR and IR materials for US companies, and exchange disclosures plus yfinance for global listings. - Structured earnings summary: Records revenue, operating income, net income, EPS, margins, and FCF with YoY/QoQ changes and Beat/In-line/Miss verdicts against sourced consensus. - Rating and Price Target impact assessment: Classifies guidance changes and management commentary, then indicates whether the existing rating should be maintained, raised, or lowered with supporting evidence. - Use Case: After CSTM reports Q1 results, run the Skill with the ticker and latest selector to produce ${ACTIVE_WORKSPACE}/00_input/earnings-update.md, which downstream report drafting and QA steps consume. ## Quick Start Ask the assistant to run an earnings update for a ticker such as AAPL with the period set to latest so it writes the results to the workspace earnings-update file.
