Agent skill · business finance · tradermonty
kanchi-dividend-sop
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
Why this skill is useful
Adds a structured workflow for Kanchi-style dividend investing with specific scripts for screening and entry signal generation that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. Requires fmp account access. About 6k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
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: Input Sources Prepare one of the following inputs before running the workflow: 1. Output from skills/value-dividend-screener/scripts/screendividendstocks.py. 2. Output from skills/dividend-growth-pullback-screener/scripts/screendividendgrowthrsi.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: Or simplified: The optional value-dividend-screener and dividend-growth-pullback-screener handoffs use stocks[].symbol. Both buildsopplan.py --input and buildentrysignals.py --input accept that shape directly, as well as the native candidates[].ticker and tickers[] shapes above. For deterministic artifact generation, provide tickers to: For Step 5 entry timing artifacts. --yield-floor is mandatory — it is the Step-1 yield gate; without it every row fail-safes to STEP1-RECHECK (a row can never reach a PASS tier without Step 1). Pass --profile / --safety-bias for runcontext, and --events-json for the Step 4b scan (absent ⇒ every row is treated as SKIPPED and a TRIGGERED name is capped to HOLD-REVIEW — never silently clean): Workflow 1) Define mandate before screening Collect and lock the parameters first: Objective: current cash income vs dividend growth. Max positions and position-size cap. Allowed instruments: stock only, or include REIT/BDC/ETF. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/kanchi-dividend-sop