Prompt Cards

For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.

Check last 24h energy price moves in {{market}} (electricity, LNG, oil). Summarize % moves, causes, grid advisories, cost impact to {{facility}}. Suggest immediate conservation/hedge steps.

For {{case_or_filing}}, list all filing/response deadlines within next 7d and any changes in past 24h. Include court orders, docket updates, required docs, owners. Provide a checklist.

If {{issue}} is trending, compile last 6h facts: what happened, who is amplifying, sentiment, competitor reactions, media inquiries. Provide holding statement bullets and next comms steps.

List partners/vendors breaching SLA in last 24h. For each: metric, severity, affected customers, contractual remedies, escalation owner. Provide 3 corrective actions.

Identify SKUs with <{{days}} days of cover. Show demand trend last 28d vs 24h, supplier lead times, reorder points. Recommend expedite/bundle/markdown actions.

Summarize daily changes to cash runway from {{date_range}}. Include: new payables/receivables, burn changes, FX effects, big variances vs plan. End with runway months and red/green flags.

Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).

Track {{keywords}} across {{platforms}} last 12–24h. Provide: volume delta, sentiment, key accounts, viral posts, narrative frames. Give 3 content angles to ride the wave, with links and timestamps.

Scan pricing in {{market}} for {{sku_list}} over last 24h. Flag anomalies: undercuts, MAP violations, sudden hikes. Provide screenshots/links, suspected causes, and recommended responses.

Measure last 7d vs last 24h adoption for {{feature}}. Output: DAU/WAU impact, activation funnel deltas, power-user behaviors, top cohorts, leading indicators. Suggest 3 quick experiments.

List shipments with >{{threshold}}% ETA variance in last 24h. For each: route, carrier, cause, customer impact, recovery options. Finish with 3 fixes (reroute, carrier swap, buffer change).