kanchi-dividend-us-tax-accounting

Plan US dividend tax classification and account placement for income portfolios.

2|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/k1064190/stock-expectation --skill kanchi-dividend-us-tax-accounting-k1064190
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kanchi-dividend-us-tax-accounting
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/_archived/kanchi-dividend-us-tax-accounting
Command: npx skills add https://github.com/k1064190/stock-expectation --skill kanchi-dividend-us-tax-accounting-k1064190

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps manage US dividend tax and account-location for Kanchi-style income portfolios, providing guidance on qualified vs ordinary dividends, 1099-DIV interpretation, and taxable vs IRA account placement decisions.

Core Features & Use Cases

  • Tax Classification Planning: Assists in planning US dividend tax classification (qualified vs ordinary).
  • Holding-Period Checks: Validates holding-period eligibility for tax treatment.
  • Account-Location Decisions: Recommends account placement based on tax profile.
  • Annual Tax Memo: Generates a standardized annual dividend tax memo.
  • Use Case: Ideal for users managing Kanchi-style income portfolios who need to make informed decisions about US dividend tax and account placement.

Quick Start

Run the kanchi-dividend-us-tax-accounting skill with the following JSON input:

{
  "holdings": [
    {
      "ticker": "JNJ",
      "instrument_type": "stock",
      "account_type": "taxable",
      "hold_days_in_window": 75
    },
    {
      "ticker": "O",
      "instrument_type": "reit",
      "account_type": "ira",
      "hold_days_in_window": 100
    }
  ]
}

Frequently Asked Questions about kanchi-dividend-us-tax-accounting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I determine qualified vs ordinary dividend tax treatment for my portfolio?

Qualified vs ordinary dividend tax classification is determined by factors like holding-period eligibility. This skill validates hold-days-in-window for your holdings to classify US dividend tax treatment accurately and assist with 1099-DIV interpretation.

Can I automate holding-period checks for US dividend tax compliance?

Holding-period checks can be automated by processing your holdings data through the skill's Python scripts. You provide ticker, instrument type, account type, and hold-days-in-window, and the skill validates holding-period eligibility for qualified dividend tax treatment.

How do I generate an annual dividend tax memo for 1099-DIV reporting?

An annual dividend tax memo is generated by running the skill with your holdings JSON input. The output standardizes your US dividend tax planning, including qualified vs ordinary classification and holding-period checks, formatted for 1099-DIV interpretation.

Do I need Python to run US dividend tax planning and account-location recommendations?

Python is required to run this skill's scripts for tax planning and data processing. The implementation uses Python to handle dividend tax classification, holding-period validation, and account placement logic for Kanchi-style portfolios.

What's the best way to manage account placement for REITs vs stocks in a taxable vs IRA account?

Account placement for REITs vs stocks depends on their tax classification and your holding periods. This skill evaluates instrument type and hold-days-in-window to recommend whether holdings belong in taxable or IRA accounts for optimal tax efficiency.

Why does my holding-period check fail for qualified dividend tax treatment?

Holding-period checks fail for qualified dividend tax treatment when the hold-days-in-window does not meet IRS minimum requirements. This skill identifies these shortfalls by validating your provided holding-period data against eligibility rules.