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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.

SKILL.md

≈83 tokens always: the name and description. ≈1k when used: this file. ≈1.4k more on demand in 5 files.

Kanchi Dividend Us Tax Accounting

Overview

Apply a practical US-tax workflow for dividend investors while keeping decisions auditable. Focus on account placement and classification, not legal/tax advice replacement.

When to Use

Use this skill when the user needs:

  • US dividend tax classification planning (qualified vs ordinary assumptions).
  • Holding-period checks before year-end tax planning.
  • Account-location decisions for stock/REIT/BDC/MLP income holdings.
  • A standardized annual dividend tax memo format.

Prerequisites

Prepare holding-level inputs:

  • ticker
  • instrument_type
  • account_type
  • hold_days_in_window (if available)

Use the exact JSON contract and examples in references/input-schema.md.

For deterministic output artifacts, provide JSON input and run:

python3 skills/kanchi-dividend-us-tax-accounting/scripts/build_tax_planning_sheet.py \
  --input /path/to/tax_input.json \
  --output-dir reports/

Guardrails

Always state this clearly: tax outcomes depend on individual facts and jurisdiction. Treat this skill as planning support, then escalate final filing decisions to a tax professional.

Workflow

1) Classify each distribution stream

For each holding, classify expected cash flow into:

  • Potential qualified dividend.
  • Ordinary dividend/non-qualified distribution.
  • REIT/BDC-specific distribution components where applicable.

Use references/qualified-dividend-checklist.md for holding-period and classification checks.

2) Validate holding-period eligibility assumptions

For potential qualified treatment:

  • Check ex-dividend date windows.
  • Check required minimum holding days in the measurement window.
  • Flag positions at risk of failing holding-period requirement.

If data is incomplete, mark status as ASSUMPTION-REQUIRED.

3) Map to reporting fields

Map planning assumptions to expected tax-form buckets:

  • Ordinary dividend total.
  • Qualified dividend subset.
  • REIT-related components when reported separately.

Use form terminology consistently so year-end reconciliation is straightforward.

4) Build account-location recommendation

Use references/account-location-matrix.md to place assets by tax profile:

  • Taxable account for holdings likely to remain qualified-focused.
  • Tax-advantaged account for higher ordinary-income style distributions.

When constraints conflict (liquidity, strategy, concentration), explain the tradeoff explicitly.

5) Produce annual planning memo

Use references/annual-tax-memo-template.md and include:

  • Assumptions used.
  • Distribution classification summary.
  • Placement actions taken.
  • Open items for CPA/tax-advisor review.

Output

Always output:

  1. Holding-level distribution classification table.
  2. Account-location recommendation table with rationale.
  3. Open-risk checklist for unresolved tax assumptions.
  4. Optional generated artifacts from skills/kanchi-dividend-us-tax-accounting/scripts/build_tax_planning_sheet.py.

Cadence

Use this minimum rhythm:

  • Annually (60 min): full tax planning memo with account-location review.
  • Quarterly (15 min): refresh holding-period status for recent acquisitions.
  • Ad-hoc: rerun after material position changes, REIT/BDC additions, or triggered reviews from kanchi-dividend-review-monitor.

Multi-Skill Handoff

  • Receive candidate and holding list from kanchi-dividend-sop.
  • Receive risk-event context (WARN/REVIEW) from kanchi-dividend-review-monitor.
  • Return account-location constraints back to kanchi-dividend-sop before new entries.

Resources

  • skills/kanchi-dividend-us-tax-accounting/scripts/build_tax_planning_sheet.py: tax planning sheet generator.
  • skills/kanchi-dividend-us-tax-accounting/scripts/tests/test_build_tax_planning_sheet.py: tests for tax planning outputs.
  • references/qualified-dividend-checklist.md: classification and holding-period checks.
  • references/account-location-matrix.md: placement matrix by account type and instrument.
  • references/annual-tax-memo-template.md: reusable memo structure.

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.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    3/8 files flagged

  • ZeroLeaks5mo

    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 18 hours ago.

Activeupdated 2 months ago

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