القائمة
Find a provider the user already uses (contacts + invoices + events) before searching nearby.
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 | find_known_provider |
| description | Find a provider the user already uses (contacts + invoices + events) before searching nearby. |
| when_to_use | Whenever the user mentions a service provider category ("Zahnarzt", "Hausarzt", "Werkstatt", "Friseur", "Steuerberater") without naming one specifically. Yorik should check what the user already has on file before suggesting new ones. Examples: "Zahnarzttermin am Dienstag" → find_known_provider(category="dentist") "ich muss zum Optiker" → find_known_provider(category="optician") "Termin beim Friseur" → find_known_provider(category="hairdresser") Three places get checked, in order of trust: 1. Contacts — anyone with relation matching ("mein Zahnarzt", "Frau Dr. Schmidt"), kind='business' + a relevant keyword in the name ("Zahnarztpraxis Müller"), or a category tag. 2. Paperless — past invoices/letters with correspondents matching the category (e.g. correspondent name contains "Zahnarzt"). 3. Past calendar events — titles containing the category that have a location set. Outcomes: - 1 known → return them; LLM proceeds directly to add_calendar_event - >1 known → ask user which (relation? last-visited?) — do NOT silently pick the highest-trust source. - 0 known → fall through to find_provider_nearby(poi=…, near=…) |
| inputs | {"category":{"type":"string","required":true,"description":"Service category. Yorik recognises (case-insensitive, EN+DE):\ndentist/zahnarzt, doctor/hausarzt/arzt, pharmacy/apotheke,\nhospital/krankenhaus, veterinary/tierarzt, optician/optiker,\nhairdresser/friseur, garage/werkstatt, lawyer/anwalt,\ntax_advisor/steuerberater, accountant/buchhalter.\n"}} |
| outputs | {"candidates":{"type":"array","description":"List of {source: \"contact\"|\"paperless\"|\"calendar\", contact_id?,\nname, address?, phone?, email?, last_seen?, evidence} — what we\nknow about them and where the info came from.\n"},"source_counts":{"type":"object","description":"{contacts: N, paperless: N, calendar: N} for quick triage."}} |
| permissions | ["admin","member","restricted"] |
| side_effects | none — read only. |
| tags | ["contacts","paperless","calendar","provider","search"] |
Defence-in-depth before reaching out to the open internet. The user's own data has higher trust than a random Overpass result, and Yorik should remember the dentist they invoiced last year.
