Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
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Create, edit, analyze, and verify professional Excel workbooks for general business and operational use. Use when the deliverable is an .xlsx file; use a finance-specific modeling workflow for valuation or regulated financial models.
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安装前可以查看交给 AI 代理的指令内容。
Create a workbook that is useful immediately on open: accurate, navigable, editable where appropriate, and visually clear. Workbook generation is local and deterministic. SandBase is optional only when the user asks for current external data and no authorized dedicated source is already available.
Read the SandBase API map only when external data retrieval is required.
Infer reasonable defaults from the request, but resolve missing choices that change the result:
Never introduce macros, external workbook links, hidden tracking, or network-refresh behavior unless the user explicitly requests them and understands the implications.
Choose a structure that matches the task rather than a fixed template. For a multi-sheet analytical workbook, a useful default is:
Keep raw/source data distinct from calculated output. Use Excel tables or well-bounded ranges for data users will filter or extend. Freeze headers on long sheets and add navigation when the workbook has several sheets.
For finance, valuation, tax, audit, or regulated reporting, preserve the user's domain template and standards. Do not apply decorative styling that obscures model inputs, formula lineage, review controls, or required conventions.
Use one coherent theme and let formatting communicate structure:
Avoid merged cells inside data tables, rainbow palettes, unexplained icons, 3D charts, clipped labels, and decorative elements that compete with the data. Ensure charts do not overlap tables or each other.
Prefer user-provided files, existing authorized connectors, and dedicated APIs the user already has. Do not use SandBase for purely local workbook creation or for data already present in the workspace.
When SandBase is the appropriate source:
sandbase_discover with a narrow capability query for the required data.sandbase_inspect for viable candidates and compare coverage, freshness, schema, price, limits, and execution mode.sandbase_account before an approved multi-call batch and call sandbase_run only with live schema-defined arguments.sandbase_run_get using the same run ID; do not resubmit a pending request.sandbase_runs only to recover status or reconcile observed cost.Treat retrieved values as evidence, not truth. Preserve provider attribution and timestamps, flag estimates, and never silently convert missing data to zero.
After writing the workbook:
Formula-writing libraries often do not calculate formulas. If no calculation engine is available, say that formula results will calculate when opened in Excel and do not invent cached results.
Return the workbook, a short sheet map, key assumptions, source and freshness notes, validation performed, and any limitations.
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Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
中文简介正在准备中。当前显示原文说明。
Research emerging academic trends by combining scholarly databases, web sources, and news to identify rising research areas, breakthrough papers, and shifting scientific consensus. Ideal for R&D teams tracking frontier science.
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Create, implement, or review accessibility review work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on accessibility review.
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Plan, implement, or review agentic eval work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests agentic eval work.
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Create or review ai seo deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for ai seo work.
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Apply airflow dag patterns in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses airflow dag patterns or its strengths fit the task.
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