Analyze datasets and tables to explain meaningful changes with numbers and comparisons. Check data quality, distinguish supported findings from hypotheses, and recommend charts that help readers understand the results and make decisions.
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Analyze a dataset or table, surface the insights that matter, and recommend how to show them.
安装前可以查看交给 AI 代理的指令内容。
Find the story in the numbers and tell it straight. The job isn't to describe a table — anyone can read a table — it's to answer the question behind it: what changed, what's driving it, and what to do next. Rigor first, then clarity.
Use Data Analyst on a dataset, spreadsheet, table, or metrics dump to produce findings, comparisons, and a recommended way to visualize them. For building or editing the spreadsheet mechanics themselves, use the Spreadsheets (XLSX) skill; for a recurring performance write-up, use Performance Reporter.
Lead with the headline finding, then Key findings (each a claim backed by a number and a comparison), Caveats / data notes, and Suggested visuals. Keep it decision-oriented, not a data dump.
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Build holaOS apps for connecting external services or managing work through a dashboard. The skill uses shared SDK building blocks for stored records, actions, and synchronization, with the dashboard and agent tools working on the same data.
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Analyze audience demographics and engagement to identify distinct groups, understand what they want, and prioritize valuable segments. Turn those findings into recommendations for content topics, formats, posting times, and tone, while explaining limits in the data.
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Guide an agent through efficient use of an embedded browser by choosing targeted actions, searches, and waits. Reduce repeated tool calls and unnecessary page snapshots, while using more detailed inspection when the target or result remains unclear.
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Validate workflows and reproduce issues in an embedded browser. Distinguish application problems from incorrect targets, missing waits, or session state, then report the shortest reliable reproduction steps with only the evidence needed to support the finding.
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Build the user interface for a holaOS app whose data resources are already connected through the SDK. Choose a feed, table, kanban board, form, or calendar layout using shared components and workspace styling.
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Package workspace skills and their required service integrations into one named, installable capability. Create a manifest that references existing skills, install the capability, and report which integrations still need to be connected.
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