kanchi-dividend-soplisted

# Kanchi Dividend Sop ## Overview Implement Kanchi's 5-step method as a deterministic workflow for US dividend investing. Prioritize safety and repeatability over aggressive yield chasing. ## When to Use Use this skill when the user needs: - Kanchi-style dividend stock selection adapted for US equities. - A repeatable screening and pullback-entry process instead of ad-hoc picks. - One-page underwriting memos with explicit invalidation conditions. - A handoff package for monitoring and tax/account-location workflows. ## Prerequisites ### API Key Setup The entry signal script requires FMP API access: ```bash export FMP_API_KEY=your_api_key_here ``` ### Input Sources Prepare one of the following inputs before running the workflow: 1. Output from `skills/value-dividend-screener/scripts/screen_dividend_stocks.py`. 2. Output from `skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py`. 3. User-provided ticker list (broker export or manual list). #### Expected JSON Input Format When using `--input`, provide JSON in one of these formats: ```json { "profile": "balanced", "candidates": [ {"ticker": "JNJ", "bucket": "core"}, {"ticker": "O", "bucket": "satellite"} ] } ``` Or simplified: ```json { "tickers": ["JNJ", "PG", "KO"] } ``` The optional `value-dividend-screener` and `dividend-growth-pullback-screener` handoffs use `stocks[].symbol`. Both `build_sop_plan.py --input` and `build_entry_signals.py --input` accept that shape dir