anthropics financial-services
OFFICIALLABSCO SUMMARY
The 66 skills are grouped into nine vertical plugins — investment-banking, equity-research, private-equity, wealth-management, fund-admin, operations, and the shared financial-analysis core, plus two partner-built verticals from LSEG and S&P Global — and packaged again into ten named agents (Pitch Agent, GL Reconciler, KYC Screener, and seven others) that each bundle the skills they need, so installing one agent is self-contained. The financial-analysis core alone wires up eleven MCP data connectors — Daloopa, Morningstar, FactSet, Moody's, PitchBook, and others — each requiring your own subscription or API key with that provider.
This is built for people already doing the work — investment bankers, equity researchers, fund accountants, KYC analysts — who want a documented starting point for their firm's own version of these workflows, not a finished tool. Anthropic's own README is explicit that nothing here is investment, legal, tax, or accounting advice: every agent stages its output for a qualified professional to check, and none of them execute a trade, post to a ledger, or approve onboarding on their own.
READ THE FULL ANALYSIS
What it costs you to start. 42 of the 66 skills are marked ready with no extra setup; the rest assume infrastructure most individual users will not have on hand — 15 need one of those market-data MCP connectors, and a handful need a local tool or a stored account key. In practice the financial-analysis core is close to plug-and-play, and each vertical past it gets progressively more dependent on your firm's own data subscriptions.
Freshness. We have tracked 106 skills from this repository over time; 40 of them are gone from the repo since we captured them, leaving the 66 live ones below. Anthropic is actively restructuring this repo around agent plugins rather than letting individual vertical skills sit still, so expect this number to keep moving.
ALSO IN THIS PACKAGE
financial-analysis
Core financial modeling and analysis tools: DCF, comps, LBO, 3-statement models, competitive analysis, and deck QC
investment-banking
Investment banking productivity tools: client and market insights, deck creation, financial analysis, and transaction management
equity-research
Equity research tools: earnings analysis, initiating coverage reports, and research workflows
private-equity
Private equity deal sourcing and workflow tools: company discovery, CRM integration, and founder outreach
fund-admin
Fund administration and finance ops skills: GL reconciliation, break tracing, accruals, roll-forwards, variance commentary, NAV tie-out
operations
Operational workflows: KYC document parsing and rules-grid evaluation
pitch-agent
Comps, precedents, LBO to a branded pitch deck, end to end
market-researcher
Sector or theme to industry overview, competitive landscape, peer comps, and ideas shortlist
earnings-reviewer
Earnings call and filings to model update to note draft
meeting-prep-agent
Briefing pack before every client meeting
model-builder
DCF, LBO, 3-statement, comps - live in Excel
gl-reconciler
Finds breaks, traces root cause, routes for sign-off
kyc-screener
Parses onboarding docs, runs the rules engine, flags gaps
valuation-reviewer
Ingests GP packages, runs valuation template, stages LP reporting
month-end-closer
Accruals, roll-forwards, variance commentary
statement-auditor
Audits pre-generated LP statements before distribution
lseg
Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics.
sp-global
S&P Global - Financial data and analytics skills including company tearsheets, earnings previews, and transaction summaries
claude-for-msft-365-install
Provision direct cloud access (Vertex AI, Bedrock, Azure AI Foundry, or LLM gateway) for the Claude Office add-in. Generates the customized add-in manifest, walks through Azure admin consent, and writes per-user config via Microsoft Graph extension attributes.
compliance-lookup
Check one thing against one connected system on behalf of the compliance skill — who a testimonial's author is to the firm (client status, relationships, conflicts), or whether a specific factual claim holds up against connected portfolio data. Dispatched once per lookup so multiple authors or multiple claims resolve concurrently instead of one after another.
compliance-scan
Scan one piece of client-facing content against the Marketing Rule's seven general prohibitions and the specific content rules (performance, testimonials, third-party ratings, promissory language, fiduciary/antifraud, Reg BI), and return the flagged passages with rule, severity, and reasoning. Finds and cites; does not reword, draft disclosures, or redraft.
holdings-sanity
Run the seven data-sanity checks over one household's holdings and performance data before any drift or tax figure is computed from it — temporal, magnitude, aggregation, reconciliation, completeness, staleness, duplication. Returns a flag list naming which downstream figure each problem contaminates.
source-extract
Pull one system's data for one already-identified household and return it as a filled field schema. Dispatched once per source by a skill that needs several systems read at once — email, CRM, portfolio platform, planning platform — so the reads happen concurrently instead of one after another.
statement-extract
Read one account statement, export, or screenshot and return its accounts and holdings as a normalized record, with every unreadable field marked rather than guessed and every computed figure marked as inferred. Dispatched once per file by prospect-intake so a pile of statements is read concurrently instead of one after another.
titling-compare
Compare what a household's estate plan intends against how its accounts are actually titled and beneficiaried, row by row, and return a comparison table plus categorized mismatches. Reports unmatched items on both sides rather than dropping them.
earnings-reviewer
Processes an earnings event end to end — reads the call transcript and filings, updates the coverage model, and drafts the post-earnings note. Use when a covered name reports; for a single name interactively, or fanned out across a coverage list as a managed agent.
gl-reconciler
Reconciles general ledger to subledger across asset classes for a trade date — finds breaks, traces root cause, and routes the exception report for sign-off. Use for daily or month-end recon runs; not for journal-entry posting (use month-end-closer for that).
kyc-screener
Parses an onboarding document packet, runs the firm's KYC/AML rules engine, screens against sanctions and PEP lists, and flags gaps for escalation. Use for new-client onboarding or periodic refresh — not for transaction monitoring.
market-researcher
Produces sector or thematic market research — industry overview, competitive landscape, trading-comps spread of the peer set, and a thematic ideas shortlist — packaged as a research note with optional slides. Use when an analyst or PM asks for a primer on a sector or theme; not for single-name coverage updates (use earnings-reviewer for that).
meeting-prep-agent
Builds a briefing pack before a client or prospect meeting — relationship history from CRM, holdings and recent activity, market context, and a suggested agenda. Use ahead of any client meeting; pairs with a calendar event.
model-builder
Builds DCF, LBO, three-statement, and trading-comps models live in Excel from a ticker and assumption set. Use when you need a clean model from scratch — not for updating an existing coverage model (use earnings-reviewer for that).
month-end-closer
Runs the month-end close for an entity — accruals, roll-forwards, and variance commentary — and stages the close package for controller sign-off. Use for period-end close; not for daily reconciliation (use gl-reconciler for that).
pitch-agent
End-to-end investment banking pitch agent. Given a target company and a strategic situation (e.g., "exploring strategic alternatives"), autonomously pulls comps and precedents from market data, builds a DCF and football-field valuation in Excel, and generates a branded pitch deck on the bank's PowerPoint template.
statement-auditor
Audits a batch of pre-generated LP capital-account statements against the fund NAV pack before distribution — ties out balances, allocations, and fees, and flags discrepancies. Use as the final check before statements go out.
valuation-reviewer
Ingests GP valuation packages for a fund, runs them through the valuation template, and stages LP reporting. Use for quarter-end portfolio valuation review — not for deal-time underwriting (use model-builder for that).
orion-advisor-solutions
http · https://gateway.oriondenali.ai/mcpwealth-com
http · https://mcp.wealth.com/mcpwealthbox
http · https://mcp.crmworkspace.com/mcpaddepar
http · https://mcp.addepar.comtamarac
http · https://envestnet.io/mcp/tamaraczocks
http · https://mcp.zocks.io/v1/mcpicapital
http · https://s.icapitalnetwork.com/icapital/api/v1/icapital-mcp/mcpmoneyguide
http · https://www.moneyguidepro.com/ifa/mcpsalesforce
http · gmail
http · https://gmailmcp.googleapis.com/mcp/v1google-calendar
http · https://calendarmcp.googleapis.com/mcp/v1google-drive
http · https://drivemcp.googleapis.com/mcp/v1microsoft-365
http · https://microsoft365.mcp.claude.com/mcpbox
Search Box content, run Box AI over it and work with folders — after an admin switches MCP on for the enterprise.
http · https://mcp.box.comdropbox
25 tools over Dropbox — file CRUD, search, shared links, file requests, version restore and Markdown extraction.
http · https://mcp.dropbox.com/mcpslack
Slack's own endpoint — search, messages, canvases and user management, scoped by app permissions.
http · https://mcp.slack.com/mcpsnowflake
http · daloopa
http · https://mcp.daloopa.com/server/mcpfactset
http · https://mcp.factset.com/content/v1sp-global
http · https://kfinance.kensho.com/integrations/mcpmorningstar
http · https://mcp.morningstar.com/mcpblackrock
http · https://ac360-mcp.blackrock.com/mcpzoom
http · https://mcp.zoom.us/mcp/zoom/streamablelseg
http · https://api.analytics.lseg.com/lfa/mcp/server-clspglobal
http · https://kfinance.kensho.com/integrations/mcpWHAT'S INSIDE
63 showing · 63 totalNothing else to set up — install it and go.
3-statement-model
Takes a financial model spreadsheet that is still blank or half-finished and fills it in, wiring the income, balance-sheet and cash-flow tabs to each other so every number is a calculation rather than something typed in.
accrual-schedule
At month end a company has run up costs it has not been billed for yet. This works out the amount for each one, records what that number is based on, and drafts the bookkeeping entry to go with it.
ai-readiness
For an investment firm that owns dozens of companies, this works out where to put AI to work first — ranking each opportunity by the money it would save and how fast it would land, and giving every company a go-or-wait verdict with a first step.
audit-xls
Checks a spreadsheet for the mistakes that quietly hand you a wrong answer, and reports each one with where it is, how serious it is, and how to fix it.
bond-futures-basis
A bond future is a promise to hand over a government bond at a set date, and its price can drift out of line with the bond itself. This measures that gap, works out which bond is cheapest to hand over, and says whether the future looks expensive, cheap or about right.
bond-relative-value
Before buying a bond, the question is whether the extra interest it pays is worth the risk of the borrower. This splits that extra into the part that is simply interest rates, the part that is credit risk and the part nothing explains, tests the price against rate moves, and calls the bond expensive, cheap or fair.
break-trace
Two sets of a company's records disagree about a transaction — one side says one thing, the other says another. This follows both back to the entries that produced them and says, in one sentence, what differs and why.
buyer-list
When a company is being sold, someone has to decide who to approach. This builds that list — rivals, firms in nearby markets, customers and suppliers, private equity funds — and sorts it by who is most likely to actually buy.
catalyst-calendar
An investor following a list of companies needs to know what is coming up that could move their share prices — results days, conferences, product launches, regulatory rulings, central-bank meetings. This builds that calendar and marks how big an effect each event is likely to have.
cim-builder
The 40-to-60-page document that buyers read before bidding on a company — this drafts it from whatever material the company already has, section by section, with each claim backed by a number rather than an adjective.
clean-data-xls
Takes a spreadsheet whose data was typed in by hand over months and makes it consistent enough to analyse, showing you what it will change before it changes anything.
client-report
The quarterly statement an adviser sends each client — how their money did, what it is invested in, and a short note on the markets — written out as a finished, branded PDF.
client-review
Everything an adviser needs in hand before sitting down with a client — how the money did, what has drifted out of line, what to raise — pulled from the account data onto a single page.
competitive-analysis
Builds the slide deck that answers who else is in this market and how the company compares — market size, a profile of each rival, charts placing them against one another, and a call on which are hardest to dislodge. You sign off the outline before any slides get made.
comps-analysis
To judge what a company is worth, you line it up against similar public companies and compare what investors pay for each dollar of sales or profit. This builds that comparison in a spreadsheet, with the peer averages, the outliers, and a note of where every figure came from.
datapack-builder
Anyone sizing up a company gets its numbers scattered across sale documents, filings and PDFs. This pulls them into one Excel workbook built the same way every time, with the totals worked out by the sheet rather than typed in.
dcf-model
Estimates what one share of a company is really worth, by forecasting the cash the business will earn in the years ahead and pricing that in today's money. The result is a live Excel model whose assumptions you can change.
dd-checklist
Buying a company means going through everything about it first — the accounts, the contracts, the customers, the staff. This writes that list for the particular business on the table, tailored to its industry and the kind of deal.
dd-meeting-prep
Before you sit down with the people running a company you might buy — or with its customers, or an expert on its market — this writes out the questions worth asking and the soft spots to press on.
deal-screening
Investment firms are sent far more companies for sale than they can look at properly. This reads one of those sales packets and comes back with a one-page verdict: worth pursuing, worth a closer look, or not for this firm.
deal-sourcing
Finding companies worth approaching about an investment: it builds the shortlist, checks your email and records for anyone your firm has already spoken to, and drafts a first note to each founder you haven't.
deal-tracker
Teams working several takeovers or financings at once lose track of what each one is waiting on — this holds every deal's dates, owners and next steps in one place and flags each week which ones are slipping.
deck-refresh
Updating a deck with this quarter's numbers without rebuilding it — it finds every place the old figure is hiding, shows you the whole list, and changes nothing until you approve it.
earnings-analysis
A listed company has just reported its quarterly results. This writes the report clients expect a day or two later: did the numbers beat expectations, what has changed in the forecast, and does the investment case still hold.
earnings-preview
What to watch for when a company reports its results in a few days: what the market is already expecting, what would count as good or bad news, and which way the shares would go in each case.
earnings-preview-single
Before a listed company reports its results, this writes the short preview note a bank sends its clients — built from the last earnings call, the company's filings, and how its rivals are priced.
equity-research
Gathers what analysts forecast for a listed company, what its accounts show, and how its shares have traded. It ends with a straight answer — buy, hold or sell — and the case for and against.
fixed-income-portfolio
Reviews a portfolio of bonds as a whole, pulling every individual holding up into one picture of what it owns, what it earns, and what could go wrong.
fsi-strip-profile
Squeezes a whole company onto one slide — what it does, its numbers, its valuation, who owns it — dense enough that an executive gets the story in half a minute.
funding-digest
The week's funding rounds in the sectors you follow, boiled down to one PowerPoint slide — who raised money, how much, at what valuation, each with a link through to the full deal record.
fx-carry-trade
Borrowing in a currency with low interest rates to hold one with high rates earns the difference — unless the exchange rate moves against you. This weighs up that trade for one currency pair: what it pays now, and how much risk sits behind it.
gl-recon
Compares a company's main accounting ledger with the detailed records that feed it and reports every line where the two disagree, along with a likely reason for each.
ib-check-deck
A final check on a banker's slide deck before it reaches the client, with every problem it finds ranked from deal-breaking down to cosmetic.
ic-memo
Writes the document a private-equity firm's partners read before approving the purchase of a company — what the business is, what the deal costs, and the honest case for and against it.
idea-generation
Hunts for stocks worth buying, or worth betting against, by sifting the market on numbers and on themes, and comes back with a short list worth digging into.
initiating-coverage
The first full research report a stock analyst publishes on a company, the kind investors read before buying — built one stage at a time, five stages in all.
investment-proposal
Prepares the pitch a wealth manager makes to win a new client — how the firm invests, where the client's money would go, what they could expect from it, and what the advice costs.
kyc-doc-parse
Reads the ID and company paperwork a new client sends when opening an account, and turns it into one tidy record: who the client is, who stands behind them, and where their money came from.
kyc-rules
Runs a new client's details against the firm's own anti-money-laundering rulebook, rating them low, medium or high risk and saying whether the account can go ahead, needs more paperwork, or has to go to a human.
lbo-model
A leveraged buyout means buying a company mostly with borrowed money, and this fills in the Excel model that tests whether the deal would pay off.
macro-rates-monitor
Pulls economic data and bond market rates into one dashboard that says where the economy stands, what the central bank is likely to do next, and whether money is getting tighter or looser.
merger-model
Before a company buys another, this builds the spreadsheet that works out what the purchase would do to the buyer's own profits.
model-update
Takes a financial model that has gone stale — new quarterly results are out, or the company has changed its outlook — and brings the forecasts and the share price target back into line.
morning-note
An analyst gets a few minutes at the 7am meeting before the market opens; this writes what they say — what moved overnight, what is due today, and what they make of it.
nav-tieout
The last check before a fund mails out its investor statements — every figure on the statement is tested against the fund's own books first.
option-vol-analysis
Options cost more when big price swings are expected; this reads what the market is charging for that expectation and sets it against how much the stock has actually been moving.
pitch-deck
The grunt work of turning a finished analysis into the client deck: a blank PowerPoint template goes in with your data files, and a filled-in deck comes out.
portfolio-monitoring
The monthly check-in an investor runs on a company it owns — is it hitting the plan, what slipped, and what to ask management about.
ppt-template-creator
Turns a company's PowerPoint template into a reusable skill, so every deck built later comes out already in the company's own layout and branding.
pptx-author
Writes the slide deck out as a PowerPoint file instead of editing one on screen, for sessions where no PowerPoint window is open.
process-letter
When a company is being sold, each would-be buyer gets a letter setting out what their offer must contain and when it is due — this writes those letters.
returns-analysis
Works out how much money a buyout would make — the profit on the cash put in, and how fragile that number is if the assumptions turn out wrong.
roll-forward
Shows how an account's balance got from the start of the period to the end, listing every addition, payment and adjustment in between.
sector-overview
Explains an industry to someone who has to invest in it — how big it is and how fast it is growing, who the main companies are, what they are worth, and where the opportunity sits.
skill-creator
How to build a skill for an AI assistant — what belongs in it, what to leave out, and how to package it so other people can install it.
swap-curve-strategy
Maps what it costs to lock in an interest rate for two years, ten years and thirty — then reads the shape of that line to suggest trades betting on how it will change.
tear-sheet
A short company profile — what the business does, its financials, and what it is worth — written for whoever is reading it, with every figure pulled live from S&P Global rather than from memory.
teaser
One page that makes a business sound worth buying without saying which business it is — what bidders see first, before anyone signs a confidentiality agreement.
thesis-tracker
Keeps on record the reasons someone bought a stock, then measures each new piece of news against them to see whether the argument still holds.
unit-economics
For a subscription business someone is thinking of buying: what it costs to win each customer, what that customer is worth over time, and how many of them stay.
value-creation-plan
After a fund buys a company, this is the plan for making it more profitable — which moves, worth how much each, and in what order over the first months and years.
variance-commentary
The month-end write-up that explains why each number in the accounts moved — measured against last month and against the budget — instead of only showing that it did.
xlsx-author
Builds an Excel spreadsheet as a saved file rather than typing into one already open on screen, with every figure left as a live formula and colour-coded by where it came from.
HOW TO GET IT
npx skills add anthropics/financial-servicesnpx skills add anthropics/financial-services --skill <name> --full-depthPick the skill name from the Skills tab — each entry there installs independently.
/plugin marketplace add anthropics/financial-services/plugin install financial-analysis@claude-for-financial-services/plugin install investment-banking@claude-for-financial-services/plugin install equity-research@claude-for-financial-servicesTyped inside the agent's own prompt, not in a terminal. The marketplace lists 19 plugins; three are shown. Every one installs the same way, with its own name before @claude-for-financial-services.