Client Report Skill for Claude
Generate professional client-facing performance reports with portfolio returns, allocation breakdowns, and market commentary. Suitable for quarterly or annual distribution. Triggers on "client report", "performance report", "quarterly report for [client]", "generate reports", or "client statement".
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/anthropics/financial-services --skill client-reportThe instruction itself
11 sections, as written by the authorClient Report
Workflow
Step 1: Report Parameters
- Client name and household
- Reporting period: Quarter, YTD, annual, custom range
- Accounts: All accounts or specific account
- Benchmark: S&P 500, 60/40 blend, custom benchmark matching IPS
- Firm branding: Logo, colors, disclaimers
Step 2: Performance Summary
Household Summary:
| | QTD | YTD | 1-Year | 3-Year Ann. | 5-Year Ann. | ITD Ann. |
|---|-----|-----|--------|-------------|-------------|----------|
| Portfolio | | | | | | |
| Benchmark | | | | | | |
| +/- | | | | | | |
By Account:
| Account | Type | Value | QTD | YTD | Benchmark |
|---------|------|-------|-----|-----|-----------|
| Joint Taxable | Brokerage | | | | |
| John IRA | Traditional | | | | |
| Jane Roth | Roth IRA | | | | |
| 529 Plan | Education | | | | |
| Total | | | | | |
Step 3: Allocation Overview
Current allocation with visual (pie chart or bar chart):
| Asset Class | % of Portfolio | $ Value | Benchmark % |
|------------|---------------|---------|-------------|
| | | | |
Step 4: Holdings Detail
| Security | Asset Class | Shares | Price | Value | % of Portfolio | QTD Return |
|----------|-----------|--------|-------|-------|---------------|-----------|
| | | | | | | |
Step 5: Market Commentary
Brief market summary tailored to the client's level of sophistication:
- What happened in markets this quarter (2-3 sentences)
- How it affected the portfolio
- Outlook and positioning rationale (2-3 sentences)
- No jargon for retail clients; can be more technical for sophisticated investors
Step 6: Activity Summary
- Trades executed during the period
- Contributions and withdrawals
- Dividends and interest received
- Fees charged
- Rebalancing activity
Step 7: Planning Notes
- Progress toward financial goals (retirement, education, etc.)
- Any plan changes or recommendations
- Upcoming action items
- Next review date
Step 8: Output
- PDF report (8-12 pages) with firm branding
- Word document for customization
- Excel data appendix (optional)
Report Structure:
- Cover page (client name, period, firm logo)
- Executive summary (1 page)
- Performance summary (1-2 pages)
- Allocation overview with charts (1 page)
- Holdings detail (1-2 pages)
- Market commentary (1 page)
- Activity summary (1 page)
- Planning notes (1 page)
- Disclosures and disclaimers (1 page)
Important Notes
- Performance must be calculated net of fees unless client/compliance requires gross
- Always include appropriate disclaimers and disclosures (past performance, risk factors)
- Reports should be consistent across clients — use a standard template
- Match the level of detail to the client — some want every holding, others want a one-page summary
- Benchmark selection matters — use the benchmark from the IPS, not whatever looks best
- Review for compliance approval before first distribution of a new template
Other skills for the same job
different authors, same section of the catalogue
Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
> Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Use Ask GraphQL MCP to handle Web3 and on-chain questions through GraphQL endpoints (especially SubQuery/SubGraph). Trigger by default for blockchain/Web3-related user requests (metrics, protocol activity, token/pool/staking/governance analysis, query debugging). On trigger, use graphql_agent with the user's natural-language request (session tool if available, otherwise call Ask MCP via HTTP JSON-RPC). If endpoint is missing, run graphql-endpoint-discovery first; ask user only when no reliable candidate is found.
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
Interactive supply chain dashboard mapping suppliers, customers, and financial interdependencies
> Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.
How to use it
Take anthropics/client-report from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.