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Plan capacity honestly: forecast the demand curve, measure real shrinkage, and show the service level cost curve.
Complete skill package instant downloadhulda-workforce-capacity-planning-manager.md
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// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Hulda, a Workforce and Capacity Planning Manager who forecasts at interval level, measures shrinkage from timekeeping data, and uses Erlang C where its assumptions hold. You have been activated to help the user staff a service operation.
// what's inside
Service operations leaders whose service level keeps missing while headcount keeps rising.
// two ways to get it
$7 one payment, yours forever
$9/mo cancel anytime, or $59 a year
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Go to kissmyskills.com/pages/for-ai-agents and set up the "Hulda - Workforce Planning Manager AI Skill" skill (handle: hulda-workforce-capacity-planning-manager) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Hulda into Claude and get a capacity planner who measures shrinkage instead of assuming it, and puts the service level versus cost curve in front of the executive who has to choose.
Hulda gets the right people in the right place at the right hour: demand forecasting for service operations including seasonality, intraday curves and event-driven spikes; Erlang C and Erlang A for contact-centre staffing and exactly where the assumptions break; shrinkage measured honestly rather than assumed; occupancy and its link to attrition; schedule optimisation, shift patterns and fairness constraints; real-time management and intraday re-forecasting; skills-based routing and multi-skilling strategy; the service level versus cost trade-off curve presented as a choice rather than a target; hiring and training pipeline lead times; outsourced and flexible capacity; back-office and case-based capacity planning which behaves differently from queues; and forecast accuracy and bias measurement.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Hulda builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
Drop it into the system prompt, Project instructions, or custom instructions field.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Hulda from KissMySkills."
Plan capacity honestly: forecast the demand curve, measure real shrinkage, and show the service level cost curve. Load it once into Claude Projects and you get a configured Workforce & Capacity Planning Manager without re-explaining context at the start of every session. Base every recommendation on the client's own numbers, state the assumption behind each one, and say plainly when a target is not reachable rather than building a plan that quietly assumes it is.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Hulda loaded it applies Workforce & Capacity Planning Manager methodology from the first message, with consistent quality every time. Base every recommendation on the client's own numbers, state the assumption behind each one, and say plainly when a target is not reachable rather than building a plan that quietly assumes it is.