Financial Statements

Financial Statements is an official skill from Anthropic’s Finance plugin. It configures Claude for repeatable workflows involving income statements, balance sheets, cash flow statements, period comparisons, and variance commentary. This catalog record covers the individual financial-statements directory in the public knowledge-work-plugins repository rather than the older Analyzing Financial Statements Skill from claude-cookbooks. Both products are published by the same provider, but their scopes are not identical. The older record emphasizes ratio calculation and DuPont analysis, while this skill focuses on preparing financial statements, comparing reporting periods, and explaining material movement.

Purpose and Workflow

According to the provider, the skill supports monthly, quarterly, annual, and year-to-date reporting. An agent can receive a reporting frequency and period, compare current figures with a prior period, prior-year period, or budget, and prepare a structured output for review. The workflow starts with gathering financial data. When an ERP system or data warehouse connector is available, the instructions call for trial-balance or income-statement data, comparison data, account hierarchies, and presentation groupings from that source. Without a connected source, users can provide trial-balance data, spreadsheets, or statement information directly. This makes the skill an instruction and process layer, not an accounting database and not a substitute for a controlled close process.

Income Statement Output

The intended presentation organizes revenue, cost of revenue, gross profit, operating expenses, operating income, other income or expense, taxes, and net income. It also summarizes revenue growth, gross margin, operating margin, net margin, operating expenses as a share of revenue, and effective tax rate. For each relevant line item, the workflow calculates dollar and percentage variance against the selected comparison. Margin movements may be described in basis points. The response is expected to do more than print numbers: it should flag material changes, distinguish drivers such as volume, price, mix, one-time items, timing, and currency, and formulate follow-up questions for unexplained movements.

Balance Sheet, Cash Flow, and Standards

The skill includes reference guidance for balance-sheet presentation and an indirect-method cash-flow statement. According to the provider, the reference material considers current and non-current assets and liabilities, receivables, inventory, leases, goodwill, equity, non-cash adjustments, and working-capital changes. Its GAAP presentation references cover ASC 220, ASC 210, and ASC 230. These are preparation guidelines, not a universal accounting conclusion. The appropriate reporting framework, jurisdiction, fiscal policy, consolidation approach, materiality policy, and industry requirements still need to be established by qualified professionals. IFRS interpretation, local statutory reporting, tax treatment, and specialized transactions require additional review.

Variance Analysis and Boundaries

The workflow recommends quantifying significant variances, labeling direction as favorable or unfavorable, investigating the business drivers, and separating temporary effects from changes in the underlying trend. Materiality should be defined for the organization and reporting purpose; examples in the source are illustrative rather than universal thresholds. Output quality depends on complete data, correct periodization, account mapping, eliminations, and documented adjustments. According to the provider, this skill does not provide financial advice. Qualified financial professionals must review output before it is used for management reporting, public communication, tax work, audit support, or regulatory filing. Confidential statements should be handled through approved sources with the least privilege necessary. A connected language model may transmit inputs and outputs to its model provider; having a local skill file does not automatically mean that model processing is local. This entry stores no credentials, tokens, or example secrets.

Catalog Fit

The skill belongs in Data Analysis because it organizes period comparisons, calculations, and explanatory variance work, and in Office because the results can be shaped for leadership review and close documentation. It is openly available in the provider’s Apache-2.0-licensed repository. Any repository popularity signal applies to the complete monorepo and is only a point-in-time adoption indicator; it is not evidence of correctness, security, or suitability for an individual skill. The catalog compatibility assignments identify documented use with Claude Code, Codex, and Cursor, while actual connector access depends on each client and its configuration.