Check that the scheduled data work behind the reports actually ran and produced something sensible: the daily reshaping scripts, the API pulls, the tables the reports read from. Use each morning before anyone opens a report, when a report looks wrong and nobody knows whether it is the data or the query, after a schema or API change, when a new audience or source is added to the pipeline, or when a scheduled job failed or finished suspiciously fast.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
A broken or stale pipeline is found before anyone opens a report built on it, not after.
memory/conventions/pipelines.md records what each job reads and writes.Keep memory/conventions/pipelines.md current: what each scheduled job reads and writes, when it
runs, what a normal output volume looks like, whether it is safe to rerun, and which reports
depend on it. Add each failure and its cause, since the same upstream API times out again.
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Plan or review software architecture through a small expert panel. Use when the user explicitly asks for architecture planning, system design, technical strategy, an architecture assessment, a design review, or a system health review. Do not use for ordinary PR review, debugging, or implementation.
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Thorough, consistently formatted competitor and product research. Produces a structured "About" doc, a "Recent News" log, and a row in a tracking spreadsheet. Use whenever the user researches a company or competitor, builds or updates a competitor doc, compares products, or logs a competitor to the tracker.
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Household assistant for a whole family. Runs a morning brief, plans meals and builds grocery lists (hunting the best prices), looks ahead at the week's logistics, stays on top of the kids' school, watches prices on things the family wants, and helps book appointments and reservations. Use it for anything that keeps the family's day or week running. Trigger even on implicit asks - "what's on today", "what do the kids have this week", "what should we make for dinner", "add milk to the list", "when's the dentist", "did anything come from school", "remind me about the permission slip", "watch this jacket and tell me if it drops", "book us a table Friday".
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Reporting workflow for a working journalist, using web research and Apify's X scraper (social signals). Onboards the journalist, monitors their beat and builds digests, evaluates story pitches, finds and vets sources, and prepares interviews. Use for any newsroom task, such as "what's new on my beat", "is this pitch any good", "who should I talk to about X", "prep me for this interview", or "turn these notes into a draft".
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Write the SQL or MongoDB query that answers a question and keeps answering it: the right grain, no fan out, parameterised window, checked against something known. Use when a number is needed that no report carries, when an existing query returns something that looks wrong, when a query is slow or expensive, or when somebody asks for a one off pull.
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Stand up reporting for a new audience — an external client, a business unit, a region, an executive team — end to end: what they need to see, whether the data exists, access and scoping, their place in the pipeline, the standard report set, and validation against numbers they can check themselves. Use when a new audience is onboarded, when an existing one adds a site, a region or a business unit, when their reporting is rebuilt after a change on their side, or when they say the numbers do not match their own records.
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