💰
DataPython

Dividend Tracking

by AojdevStudio

Dividend Tracking is a Data skill for Claude Code, published by AojdevStudio in Finance-Guru.

318 stars109 forkson AojdevStudio/Finance-GuruAdded 2026/09/03Repository updated 2026/09/03
ai-agentsclaude-codecodexfamily-officeopen-corepersonal-financeportfolio-analysispydanticpythonsqlite
Install in seconds
Install Dividend Tracking
Copy Dividend Tracking into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/AojdevStudio/Finance-Guru/tree/main/.claude/skills/dividend-tracking ~/.claude/skills/dividend-tracking

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/AojdevStudio/Finance-Guru.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/dividend-tracking/SKILL.md in AojdevStudio/Finance-Guru
Installs to
~/.claude/skills/dividend-tracking
Collection
One of 17 skills cataloged from this repository
Category
Data710 skills

What Dividend Tracking does

Dividend Tracking refreshes the local database first, then reads DIVIDEND rows from family_office.db for Layer 2 income analysis. Use it to review monthly dividend totals, ticker breakdowns, and trailing income against target without stale data.

Dividend Tracking is cataloged under Data on DirSkills. Dividend Tracking comes from a repository tagged ai-agents, claude-code, codex, family-office and open-core.

Documentation

README

Dividend Tracking

Purpose

Read received-dividend records from the local DB transactions table (refreshed sync-first) and report Layer 2 income against target.

family_office.db is the system of record. The Dividends sheet and its Apps Script automation were retired 2026-07-31.

Step 0: Refresh (sync-first, mandatory)

Dividend records come from the DB, refreshed FIRST so income can never be stale. Follow the shared Sync-First + DB-Read pattern.

uv run python -m src.integrations.snaptrade.sync_transactions_db          # writes transactions
uv run python -m src.integrations.snaptrade.sync_transactions_db --show   # confirm freshness

Completion criterion: the sync command reports success before any dividend is read.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Dividend Tracking

  • What else does AojdevStudio publish alongside Dividend Tracking?

    Dividend Tracking is one of 17 skills that DirSkills catalogs from AojdevStudio/Finance-Guru, the repository it ships in. Its siblings there include Compliance Scan, Fin Guru Research and Fin Guru Strategize. Each one is a separate skill with its own page in this directory, installs the same way Dividend Tracking does, and is maintained by AojdevStudio in that same repository. The rest of the collection is listed on the AojdevStudio/Finance-Guru page.

  • How does Dividend Tracking compare to other Data skills?

    Dividend Tracking ranks #616 by stars among the 710 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dividend Tracking against them. Open each page to compare what they document and how they install.

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