AgentSkillsCN

retirement-syncing

将先锋与富达的退休账户数据从 CSV 导出同步至 Google Sheets DataHub。支持多账户管理,按股票代码汇总持仓,并更新退休部分的持有数量(第 46–62 行)。可使用诸如“同步退休”、“更新退休”、“先锋同步”、“401k 更新”、“IRA 同步”或“处理 notebooks/retirement-accounts/ 文件”等短语进行触发。

SKILL.md
--- frontmatter
name: retirement-syncing
description: Sync retirement account data from Vanguard and Fidelity CSV exports to Google Sheets DataHub. Handles multiple accounts, aggregates holdings by ticker, and updates quantities in retirement section (rows 46-62). Triggers on sync retirement, update retirement, vanguard sync, 401k update, IRA sync, or working with notebooks/retirement-accounts/ files.

Retirement Account Syncing

Purpose

Safely import Vanguard and Fidelity retirement account CSV exports into the Google Sheets DataHub retirement section, updating only quantities (Column B).

When to Use

Use this skill when:

  • Syncing retirement account positions from notebooks/retirement-accounts/
  • User mentions: "sync retirement", "update retirement", "vanguard sync", "401k update", "IRA sync"
  • Working with files in notebooks/retirement-accounts/ directory

Source Files

Location: notebooks/retirement-accounts/

FileSourceContents
OfxDownload.csvVanguard IRAsAccount 39321600 & 35407271 holdings
OfxDownload (1).csvVanguard BrokerageAccount 53527429 & 50580939 holdings
Portfolio_Positions_*.csvFidelity 401(k){employer_name} 401(k) Plan holdings

CSV Formats

Vanguard OFX Format (OfxDownload.csv)

csv
Account Number,Investment Name,Symbol,Shares,Share Price,Total Value,
39321600,VANGUARD S&P 500 INDEX ETF,VOO,18.1817,629.3,11441.74,

Key Fields:

  • Column 3: Symbol
  • Column 4: Shares (quantity)

Fidelity 401k Format (Portfolio_Positions_*.csv)

csv
Account Number,Account Name,Symbol,Description,Quantity,Last Price,...
86689,{employer_name} 401(K) PLAN,FGCKX,FID GROWTH CO K,4.447,$50.04,...

Key Fields:

  • Column 3: Symbol
  • Column 5: Quantity

DataHub Target Location

Spreadsheet ID: Read from fin-guru/data/user-profile.yaml

Retirement Section: Rows 46-62 (after the "RETIREMENT ACCOUNTS (VANGUARD)" header at row 45)

RowTickerDescription
46VOOVanguard S&P 500 ETF
47VUGVanguard Growth ETF
48VTSAXVanguard Total Stock Market
49SCHGSchwab US Large-Cap Growth
50PLTRPalantir
51NVDANVIDIA
52TSLATesla
53VBVanguard Small-Cap ETF
54ARKKARK Innovation
55VMFXXVanguard Money Market
56FGCKXFidelity Growth Company K
57FXAIXFidelity 500 Index
58-62ReservedFuture holdings

Core Workflow

1. Read All CSV Files

python
# Read Vanguard files
vanguard_1 = read_csv("notebooks/retirement-accounts/OfxDownload.csv")
vanguard_2 = read_csv("notebooks/retirement-accounts/OfxDownload (1).csv")

# Read latest Fidelity file (by date in filename)
fidelity = read_csv("notebooks/retirement-accounts/Portfolio_Positions_*.csv")

2. Aggregate Holdings by Ticker

Since the same ticker can appear in multiple accounts, SUM all quantities:

python
holdings = {}
for file in [vanguard_1, vanguard_2, fidelity]:
    for row in file:
        ticker = row['Symbol']
        shares = float(row['Shares'] or row['Quantity'])
        holdings[ticker] = holdings.get(ticker, 0) + shares

Expected Aggregations:

  • VOO: Sum across accounts (IRA + Brokerage)
  • VUG: Sum across accounts
  • PLTR: Sum across accounts (53527429 + 50580939)
  • SCHG: Sum across accounts
  • VMFXX: Sum across accounts (all money market)
  • VTSAX: Sum across accounts

3. Update DataHub Column B Only

WRITABLE: Column B (Quantity) only

DO NOT TOUCH:

  • Column A (Ticker) - already set
  • Column C onwards - formulas
javascript
// Update VOO quantity (Row 46)
mcp__gdrive__sheets(operation: "updateCells", params: {
    spreadsheetId: SPREADSHEET_ID,
    range: "DataHub!B46:B46",
    values: [["214.7947"]]  // Aggregated quantity
})

4. Update Pattern

Loop through each retirement ticker and update Column B:

TickerRangeAggregation
VOOB4618.1817 + 196.613 = 214.7947
VUGB4710.9488 + 2.1164 = 13.0652
VTSAXB48126.336 + 102.126 = 228.462
SCHGB49100 + 6 = 106
PLTRB5025 + 42 = 67
NVDAB51150
TSLAB5258
VBB5320
ARKKB5416.13
VMFXXB552.94 + 0.57 + 179.92 + 428.42 = 611.85
FGCKXB564.447
FXAIXB573.705

Safety Checks

Before updating:

  • Verify all 3 CSV files exist in notebooks/retirement-accounts/
  • Confirm row mapping matches expected tickers
  • Log any new tickers not in current sheet

Large Change Warning (>20%):

  • If any quantity changes more than 20%, show diff and ask for confirmation

Example Execution

javascript
// Step 1: Read CSVs and aggregate
const holdings = aggregateFromCSVs();

// Step 2: Update each ticker's quantity
const updates = [
    { range: "DataHub!B46:B46", values: [[holdings.VOO.toFixed(4)]] },
    { range: "DataHub!B47:B47", values: [[holdings.VUG.toFixed(4)]] },
    { range: "DataHub!B48:B48", values: [[holdings.VTSAX.toFixed(3)]] },
    // ... etc
];

for (const update of updates) {
    mcp__gdrive__sheets(operation: "updateCells", params: {
        spreadsheetId: SPREADSHEET_ID,
        ...update
    });
}

// Step 3: Log summary
console.log("Updated 12 retirement positions");

Post-Update Validation

Verify:

  • All quantities updated correctly
  • Formulas in columns C+ still working
  • Total retirement value approximately matches sum of CSV totals
  • No formula errors introduced

Log Summary:

code
Updated 12 retirement positions:
- VOO: 214.7947 shares
- VUG: 13.0652 shares
- VTSAX: 228.462 shares
...
Total Retirement Value: ~$387,806

Critical Rules

WRITABLE Column

  • Column B: Quantity ONLY

DO NOT TOUCH

  • Column A: Tickers (pre-set)
  • Columns C-S: All formulas

Row Mapping

Retirement section starts at row 46 (after header at row 45). Rows 46-62 are reserved for retirement holdings.

Trigger Keywords

  • "sync retirement"
  • "update retirement"
  • "retirement accounts"
  • "vanguard sync"
  • "401k update"
  • "IRA sync"
  • "retirement quantities"

Skill Type: Domain (workflow guidance) Enforcement: SUGGEST Priority: Medium Line Count: < 200