financial-advisor
Monthly personal financial analysis with XLSX dashboard and DOCX narrative report.
Skill by jasonbhorne
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jasonbhorne-financial-advisor
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, spreadsheets, data, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/financial-advisor
Tools it pre-approves 14
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Write,Edit,Bash,Glob,Grep,Agent,TeamCreate,TeamDelete,TaskCreate,TaskList,TaskGet,
Show 2 more
TaskUpdate,SendMessage
What's inside
- Skill name
financial-advisor- Description
- Monthly personal financial analysis with XLSX dashboard and DOCX narrative report. Reads bank/CC statements, credit reports, debt tracking, and paystubs.
- License
- MIT
- Allowed tools
- Read,, Write,, Edit,, Bash,, Glob,, Grep,, Agent,, TeamCreate,, TeamDelete,, TaskCreate,, TaskList,, TaskGet,, TaskUpdate,, SendMessage
- Instructions
- 491 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Files (1)
- SKILL.md
SKILL.md (first lines)
Generate a monthly personal financial analysis using 4 parallel agents (spending analyzer, debt strategist, credit health monitor, budget/savings advisor). Target: $ARGUMENTS ## Constants ``` FINANCIAL_ROOT = $ONEDRIVE_PERSONAL/Personal/Financial Reports PERSONAL_ROOT = $ONEDRIVE_PERSONAL/Personal ``` ## Step 0: First-Run Setup and Directory Verification Check that all required subdirectories exist under `FINANCIAL_ROOT`: ``` Bank Statements/ Credit Card Statements/ Credit Score/ Debt Tracking/ Mortgage/ Investments/ Pay Stubs/ Insurance/ Loan Forgiveness/ Other/ Reports/ ``` If any are missing, create them with `mkdir -p`. ### Mode Routing - If `$ARGUMENTS` is `--setup`: create directories, print confirmation, and STOP. - If `$ARGUMENTS` is `--migrate`: run the migration script (Step 0b) and STOP. - Otherwise: proceed to Step 1. ### Step 0b: File Migration (--migrate only) Write and execute `/tmp/financial_migrate.py`. The script copies (NOT moves) files from scattered locations into the organized structure using `shutil.copy2` to preserve timestamps. Skip files that already exist at the destination (compare filename only). **Print a dry-run summary first, then execute.** Source-to-destination mapping: | Source | Destination | |--------|-------------| | `PERSONAL_ROOT/Bank Statements/Paystub/*.pdf` | `Pay Stubs/` | | `PERSONAL_ROOT/Banking/stmt.csv` | `Bank Statements/` | | `PERSONAL_ROOT/Banking/transactions.xlsx` | `Bank Statements/` | | `PERSONAL_ROOT/Banking/eStmt_*.pdf` | `Bank Statements/` | | `PERSONAL_ROOT/Banking/Mortgage - Escrow Docs/*` | `Mortgage/` | | `PERSONAL_ROOT/House/eStmt_*.pdf` | `Bank Statements/` | | `PERSONAL_ROOT/CreditCardStatement.pdf` | `Credit Card Statements/` | | `PERSONAL_ROOT/Debt.xlsx` | `Debt Tracking/` | | `PERSONAL_ROOT/Debt_Amortization_Schedule.csv` | `Debt Tracking/` | | `PERSONAL_ROOT/Out of Debt.xlsx` | `Debt Tracking/` | | `PERSONAL_ROOT/House/Edward Jones*.pdf` | `Investments/` | | `PERSONAL_ROOT/House/Edward Jones*.xlsx` | `Investments/` | | `PERSONAL_ROOT/House/Liquidity of Roth IRA.pdf` | `Investments/` | | `PERSONAL_ROOT/House/XXXX7338*edj*.pdf` | `Investments/` | | `PERSONAL_ROOT/Stonks/Indices.xlsx` | `Investments/` | | `PERSONAL_ROOT/Retirement/*.pdf` | `Investments/` | | `PERSONAL_ROOT/Deerfield Bonds.pdf` | `Investments/` | | `PERSONAL_ROOT/American Fidelity/*.pdf` | `Insurance/` | | `PERSONAL_ROOT/Loan Forgiveness/*` | `Loan Forgiveness/` | | `PERSONAL_ROOT/Credit Report/*.pdf` | `Credit Score/` | | `PERSONAL_ROOT/House/*W2*.pdf` | `Pay Stubs/` | | `PERSONAL_ROOT/House/*W2*.png` | `Pay Stubs/` | | `PERSONAL_ROOT/House/*W2*.png.pdf` | `Pay Stubs/` | | `PERSONAL_ROOT/House/*paystub*` | `Pay Stubs/` | | `PERSONAL_ROOT/House/*Paystub*` | `Pay Stubs/` | | `PERSONAL_ROOT/House/$AUTHOR_NAME CHECK STUBS.pdf` | `Pay Stubs/` | | `PERSONAL_ROOT/House/employer-stub.pdf` | `Pay Stubs/` | | `PERSONAL_ROOT/Child Support.xlsx` | `Other/` | | `PERSONAL_ROOT/Personal - Travel.xlsx` | `Other/` | After migration, print count of files copied per destination folder. ## Step 1: Determine Target Month - If `$ARGUMENTS` matches `YYYY-MM` format, use that as target month. - Otherwise, default to the current month (today's date). - Set variables: `MONTH` (01-12), `YEAR` (YYYY), `MONTH_YEAR` (e.g., "February 2026"), `MONTH_TAG` (e.g., "2026-02"). ## Step 2: Inventory Available Files Scan each subdirectory for files relevant to the target month. Financial files may not always be month-tagged, so inventory everything available: 1. **Bank Statements/**: CSVs (`stmt.csv`, `transactions.xlsx`), PDF statements (`eStmt_*.pdf`) 2. **Credit Card Statements/**: PDF statements 3. **Debt Tracking/**: `Debt.xlsx`, `Out of Debt.xlsx`, `Debt_Amortization_Schedule.csv` 4. **Credit Score/**: Equifax.pdf, Experian.pdf, TransUnion.pdf 5. **Pay Stubs/**: Monthly paystub PDFs 6. **Investments/**: Edward Jones files, retirement statements 7. **Mortgage/**: Escrow documents Print a summary table of available files. Warn if critical files are missing (bank statements, debt tracking). Create the output directory: `FINANCIAL_ROOT/Reports/YYYY-MM/` ## Step 3: Create Team and Tasks 1. `TeamCreate` with `team_name: "financial-YYYY-MM"` (e.g., `financial-2026-02`). 2. `TaskCreate` for 4 tasks: ### Task 1: Spending Analysis Reads: Bank Statements/ and Credit Card Statements/ - Parse CSV/XLSX files with pandas for transaction data - Extract text from PDF statements with PyMuPDF (`fitz`) for amounts and descriptions - Categorize every transaction using the keyword engine (see Categorization Engine below) - Calculate: total income, total expenses, category totals, top 10 merchants - Detect recurring charges (same merchant, similar amount, monthly pattern) - Flag transactions over $500 as "large" - Write results to `/tmp/financial_spending_YYYY-MM.json` ### Task 2: Debt Analysis Reads: Debt Tracking/
From jasonbhorne/claude-code-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- May 5, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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financial-advisor skill. Agent Mart. https://agentmart.dev/skills/jasonbhorne-financial-advisor (last updated 2026-10-24)