القائمة
Natural-language summary of recent email activity across all of the user's accounts
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create a new contact (person or business) with ALL its channels and address in one call.
Fetch the full body and metadata of a single email by message_id.
Record a new bill / recurring expense
Create a new calendar event in Yorik's local calendar
Attach a postal address (home, work, billing, shipping) to an existing contact.
Attach a channel (email, phone, whatsapp, signal, sms, website, social) to a contact.
| name | email_briefing |
| description | Natural-language summary of recent email activity across all of the user's accounts |
| when_to_use | - User asks "what's new in my email?" / "any important emails today?" - Morning routine: combined with whatsapp_briefing for a full inbox overview - Before composing a reply, agent wants a quick read of the email landscape - For finding a SPECIFIC email by sender or subject phrase, call `find_email_by_subject` first — this skill is for broad recent-activity summaries only. |
| inputs | {"hours":{"type":"integer","required":false,"default":24,"description":"Look-back window in hours (1-168)"}} |
| outputs | {"summary":{"type":"string","description":"Markdown briefing — \"Action items\" + \"By thread\" sections, auto-language matched to the inbox content"},"stats":{"type":"object","description":"Object with keys hours / accounts / new_messages / threads_needing_reply / unread_count"},"threads_needing_reply":{"type":"array","description":"List of {message_id, thread_id, from, subject} for messages the user hasn't replied to"},"generated_at":{"type":"string"}} |
| cost | 1 LLM call (~3-8s on qwen3) |
| permissions | ["admin","member"] |
| side_effects | none — read-only |
| tags | ["email","summary","llm"] |
Aggregates recent inbound email from all of the user's accounts grouped by sender/thread, identifies which ones plausibly need a reply (you got an email and haven't sent one in the same thread yet), and asks the LLM for a prioritised briefing.
Auto-language: prompt tells the LLM to write in German if most messages are German, English otherwise.
Naturally pairs with whatsapp_briefing — a future "morning_briefing" composite skill calls both and stitches them.
summary is user-ready markdown — surface it verbatim or with one framing sentence, and never re-summarise it or enumerate threads_needing_reply in prose.
