Create, inspect, analyze, and edit spreadsheets (`.xlsx`, `.xlsm`, `.csv`, `.tsv`) with local code execution. Use for formulas, formatting, charts, validation, financial models, and spreadsheet deliverables.
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Review the instructions the agent will receive before you install.
This is workflow guidance, not a callable tool. Use the shell or code-execution
tool exposed by the active OIX harness. Do not look for a tool named
spreadsheets.
openpyxl for .xlsx/.xlsm creation and edits. Load macro-enabled
workbooks with keep_vba=True when macros must survive. Use pandas only for
analysis or reshaping, not as the final formatting layer.interpreter-app tools builtin-interpreter interpreter_refresh_file --json '{"path":"/absolute/path.xlsx"}' once after the final write.uv pip install openpyxl pandas
Install only what the task needs. Use an existing Python installation when available, and request approval for exact system-level installation commands.
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Build a period-end accrual schedule by computing each accrual, citing support, and drafting journal entries for controller approval. Use during month-end close; this drafts entries only and must not post them.
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Audit a spreadsheet for formula accuracy, errors, and common financial-model mistakes. Use for selected ranges, single sheets, or whole-workbook model checks including balance-sheet balance, cash tie-out, roll-forwards, and logic sanity.
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Use this skill when the user needs advanced Playwright control of an already running browser session through Interpreter's app-managed browser bridge and the `builtin-js-repl` `js_repl` tool, after simple browser page work cannot be handled by the unified `builtin-interpreter` browser page tools.
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Drive a native desktop app through Interpreter's builtin-cua-driver. Use get_app_state, click/type/scroll/drag, and verify by calling get_app_state again when the user asks to operate a real desktop app, browser chrome, native dialog, menu, secure prompt, file chooser, or hidden/background window.
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Create, inspect, and edit Word documents (`.docx`) with local code-execution tools. Use for document drafting, structured edits, tables, comments, and layout-sensitive Word deliverables.
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Design or revise Interpreter UI for non-developers with an ultra-minimal, utilitarian style inspired by the OpenAI website and ChatGPT, not the developer platform. Use when simplifying settings, onboarding, chat, forms, empty states, or helper copy; when removing extra containers, labels, or visual noise; when replacing technical wording with plain language; when clarifying hierarchy and making the main user action obvious; when making every visible label and status understandable to an average HR admin or other non-technical user; when hiding implementation details such as logs, IDs, endpoints, paths, or protocol names; or when a screen must respect the app's existing CSS variables and light/dark theme behavior.
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