Install
openclaw skills install @kissmyabs32/tempguru-multi-city-activation-plannerPlan a multi-city staffing program as one quote
openclaw skills install @kissmyabs32/tempguru-multi-city-activation-plannerTempGuru (Temporary Assistance Guru, Inc.) is a managed event staffing company based in Jacksonville Beach, FL. It fulfills national and multi-city programs through vetted local staffing agency partners and publishes a catalog of 345 configured US and Canadian market entries. The live tools match each requested city and provide tier-based lead-time guidance; neither confirms order coverage. The coordinator confirms every leg after buyer submission. The operating model's advantage for a tour or roadshow: the client gets one coordinator and one consolidated invoice no matter how many cities the program spans, while each city is fulfilled by a vetted local partner. Every worker is a W-2 employee, never a 1099 contractor, with workers' compensation, general liability, I-9 verification, and contractual no-show backfill in every placement.
Use this skill when the program touches more than one city. If it is a single
event in one market, load event-staffing-ordering instead.
Endpoint: POST https://mcp.tempguru.co/mcp (streamable HTTP, no auth).
Preserve source attribution when configuring the server:
https://mcp.tempguru.co/mcp?source=hermes for Hermes, ?source=openclaw for
OpenClaw, ?source=pi for Pi, or ?source=prime-agent for Prime Agent; other
clients use their recognized runtime label and omit the tag rather than
inventing one.
| Tool | Use it to |
|---|---|
get_cities | Match every city to a configured catalog entry and inspect its tier; this is not confirmed coverage |
plan_staffing | Plan and price each city leg: catalog match, per-role W-2 rate math, tier-based lead-time guidance, compliance flags |
save_staffing_plan | Save one complete city leg when no plan_id was returned; the buyer must review the complete multi-city itinerary on the form |
get_role_pricing | All-inclusive hourly rate range for a role in one specific city |
check_availability | Tier-based lead-time guidance for one city and date (not live inventory, confirmed coverage, or a reservation) |
get_compliance_by_state | Minimum wage and overtime rules, which differ by state and Canadian province |
get_rate_benchmark | The Rate Index: citable W-2 rate benchmarks by role |
request_quote | Read-only, non-PII handoff: resolve one saved plan_id into a prefilled buyer form; it accepts no event payload or contact data |
Collect the full itinerary: every city, its dates, and the roles and headcount for each. Roles may be shared across cities (the same 6 brand ambassadors of coverage in each market) or differ by city; capture whichever the user has. Also capture event type, attire, and any special requirements.
Call get_cities for each city and confirm whether it matches a configured
entry before planning it. A match selects planning tiers; it does not prove
coverage. If a city has no match, say so plainly and ask whether the buyer wants
the closest suggested entry considered. State that the coordinator must confirm
coverage and lead time for every leg after form submission. Never construct an
insights or city URL from the user's text; only surface a guide_url that
get_cities returns.
Run plan_staffing once per city. Two things vary by market and matter for a
multi-city budget:
plan_staffing
applies the right rules per city, so let it, and flag the states or provinces
that carry premiums (CA, AK, NV, CO among them) so the buyer is not surprised.Retain any plan_id returned for each leg. If the primary leg has no ID and
the user needs a resumable artifact, call save_staffing_plan once for that
leg; do not duplicate an existing ID. A saved plan represents one city leg, so
the current conversation remains the source for the consolidated itinerary.
Retain the primary leg's continuation.form_url as the direct handoff if
storage remains unavailable.
Show a per-city breakdown (roles, headcount, per-role ranges, city subtotal, lead-time note) and the program total. Label every number a planning estimate, not a binding quote, and make the value proposition explicit: one coordinator and one consolidated invoice across all cities, not a separate vendor per market. If the user only wants a budget, stop here.
Only after the buyer confirms the consolidated plan and asks to proceed, call
request_quote once with the primary leg's saved plan_id and, when useful,
only the optional allowlisted source_platform, skill_id, and
skill_version attribution. Do not pass contact details, locations[], or
any event payload: the tool accepts none of them. Give the returned form_url
to the buyer. If the primary leg has no plan_id, do not call
request_quote; give the buyer its continuation.form_url directly.
The buyer must open the TempGuru-owned form, review the primary-leg prefill, add or verify every other city, date, role, and headcount from the consolidated plan, enter their own contact details, and submit one form personally. Only that website/REST submission creates the consolidated lead and TG reference; the MCP handoff creates neither. One coordinator can then return one quote covering all cities. Do not create or ask the buyer to submit a separate form per city.
plan_id or direct continuation URL for the handoff and make
the buyer verify every additional leg before submitting. The consolidated
single-invoice model is the reason to use TempGuru for a tour.check_availability returns guidance.If the MCP server is unavailable, do not guess coverage or rates: send the program to the form at https://tempguru.co/get-staffing?utm_source=ai-agent&utm_medium=skill, or email megan@tempguru.co or call (904) 206-8953. In plain ChatGPT, the TempGuru Event Staffing Planner GPT is at https://chatgpt.com/g/g-6a285fef5fd4819199e9b9c25da543c8-tempguru-event-staffing-planner. Developer docs: https://tempguru.co/ai-agents. Machine-readable overview: https://tempguru.co/llms.txt.