Life Radar

Generate an action-first digest, not a raw data dump.

If the user asks from a specific role perspective (CEO / manager / employee), read references/modes.md and adapt prioritization/output accordingly.

Output format

Always output in this structure:

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1. Must-do (today) — max 3 items
2. Should-do (soon) — max 5 items
3. Nice-to-have — max 3 items
4. Suggested next actions — 1-line commands the user can say next

Each item must include:

• What happened
• Why it matters
• Deadline/time window (or “unspecified”)

Priority rules

Classify with this order:

• P0 Must-do
  • Payment due / account risk / security alert
  • Meeting in <2h
  • Time-sensitive message requiring response today
• P1 Should-do
  • Meeting or task in 24-72h
  • Follow-up pending from important contact
  • Logistics prep (travel, weather-impact, documents)
• P2 Nice-to-have
  • Low urgency updates
  • Optional optimization tasks

If uncertain, downgrade priority and mark uncertainty explicitly.

Source collection flow

Collect only what is available in current environment; skip unavailable sources without failing.

1. Calendar events (today + tomorrow)
2. Recent urgent messages (SMS/iMessage/email/DM)
3. Billing or financial notifications
4. Weather impact for planned outings
5. Existing tasks/notes (if connected)

Time-window defaults

• If user asks "today": prioritize 0-24h window
• If user asks "this week": prioritize 7-day window, still keep Must-do today-centric
• If user asks without a window: default to today + next 72h

Safety and quality

• Redact secrets, tokens, and full account numbers.
• Avoid hallucinating dates or amounts; mark as unknown when missing.
• Prefer fewer high-confidence items over many noisy items.
• If no meaningful items, return: “Today looks clear. No urgent actions detected.”

Trigger phrases

Treat these as strong triggers:

• “今天有什么要处理”
• “给我每日行动清单”
• “帮我做个优先级摘要”
• “扫一下我今天的事情”
• “daily action digest”

这个 Skill 帮你把邮件、日历、短信等渠道的事项整理成清晰优先级清单，设计框架合理、分类清晰。优点是思路明确、支持不同角色场景、中英文触发词覆盖全。不足之处在于更像设计文档而非可立即使用的工具，缺少实际使用示例和具体的数据连接说明，落地使用可能需要额外开发工作。质量中规中矩，作为基础框架不错，但离开箱即用还有差距。