菜单
Produce a staffing readout that compares like-cycle-to-like-cycle instead of calendar-quarter-to-calendar-quarter, so the academic or healthcare seasonality doesn't masquerade as a performance change. Reach for this when a fill-rate or volume comparison crosses a seasonal boundary.
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Route everyday, well-defined work (single-file edits, test-writing, summarization, mechanical refactors, boilerplate) to a cheaper coding agent (Grok or Copilot CLI) instead of doing it in the main Claude session, escalating multi-file/architecture/debugging/security work to Claude. Opt-in via the `cheap_lane:` comfort-posture knob.
Authors, validates and packages a claude.ai Organization Skill — the intake questions, the trigger and scope exercises, then lint, pack and verify against measured platform constraints. Reach for this when someone wants to publish a Skill to their organization, or when an upload was rejected and the reason is unclear.
Drafts a reply to an inbound customer email, grounded in the account record and the published help-centre articles rather than in recall. Use when a customer emails about billing, a renewal or an outage, when a reply must cite current policy, or when a teammate asks for a first draft to edit.
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| name | seasonality-aligned-readout |
| description | Produce a staffing readout that compares like-cycle-to-like-cycle instead of calendar-quarter-to-calendar-quarter, so the academic or healthcare seasonality doesn't masquerade as a performance change. Reach for this when a fill-rate or volume comparison crosses a seasonal boundary. |
The single most common false finding in staffing analysis is a month-over-month or quarter-over-quarter comparison that crosses a seasonal boundary (§3 #5). This skill aligns the comparison to the cycle before any number is interpreted.
Replace "Q4 vs. Q3" with "this Q4 vs. last Q4" (or this fall-hiring-window vs. last). Same point in the cycle, year over year — that isolates real change from seasonal change.
If only one year of data exists, index each period to its share of the annual cycle (e.g., "school fills run ~X% of annual volume in Q2–Q3") and compare actuals to that expected share rather than to the adjacent quarter.
State explicitly which part of the move is seasonal (expected) and which is genuine. "Fill rate fell 9 points QoQ, but 7 of those points are the normal fall-to-winter school cycle; the residual 2-point YoY decline is the real signal" — that sentence is the deliverable.
Recommend the client measure fill rate and time-to-fill against the recruiting cycle, not calendar quarters: front-load the pipeline in spring/summer for education, and set the time-to-fill clock against the academic start date, not the req-open date alone.
Session-completion, teletherapy-utilization, contract-renewal, and days-covered-vs-contracted have no public benchmark — mark them internal-metric-to-define rather than inventing one (§3 #9).
Academic-calendar mechanics and the ESSER-cliff budget context: ../../knowledge/education-staffing-fundamentals.md. Healthcare seasonality + rate cycle: ../../knowledge/healthcare-staffing-economics.md.