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/kanchi-dividend-us-tax-accounting

@5912fa6

Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV interpretation, REIT/BDC distribution treatment, holding-period checks, or taxable-vs-IRA account placement decisions for dividend assets.

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/kanchi-dividend-us-tax-accounting

This session only. Nothing lands on disk.

referencesaccount-location-matrix.md

≈332 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Account Location Matrix

Use this matrix to propose placement between taxable and tax-advantaged accounts.

Baseline Placement Logic

Instrument profile Taxable account Tax-advantaged account Rationale
Qualified-dividend-heavy US equity Usually preferred Optional Potentially better ongoing tax efficiency in taxable account
REIT-heavy income holdings Less preferred Often preferred Distribution may include higher ordinary-income components
BDC/high-distribution structures Less preferred Often preferred Tax treatment can be less favorable in taxable account
MLP (partnership units) Case-by-case Caution in tax-advantaged accounts UBTI and K-1 complexity can make placement non-trivial
Broad index ETF with low turnover Often acceptable Also acceptable Depends on overall asset-location design

If MLP is outside mandate, mark it explicitly as OUT-OF-SCOPE and exclude from default allocation logic.

Conflict Resolution Rules

When account-location recommendation conflicts with other needs:

  1. Respect concentration and risk controls first.
  2. Respect liquidity/withdrawal constraints second.
  3. Optimize taxes third.

Output Format

Return one line per holding:

[Ticker] -> [Recommended Account] | Why: [one sentence]

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub16d

    This skill provides a workflow for US dividend tax planning and generates reports from user-provided holding data. It uses standard library scripts to process JSON input and generate Markdown or CSV reports. A low-risk surface for indirect prompt injection exists as the tool processes untrusted external data, though it lacks dangerous capabilities like network access or dynamic code execution.

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    Score: 93/100 · 2 sections analyzed

Signed by skilld at 5912fa6. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated 2 months ago

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