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Capacity planning

Skill yigityildiz0/universal-ai-skill-library/skills/common/capacity-planning

Build an evidence-based capacity plan for teams, services, operations, budgets, or delivery work. Use for capacity planning, staffing scenarios, workload forecast, throughput planning, utilization, or demand-versus-capacity decisions.From its SKILL.md

Install
npx -y skills add yigityildiz0/universal-ai-skill-library --skill capacity-planning

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

1.0 KB, 135 tokens by cl100k_base, as published. Nobody here has run it

Capacity Planning

Model capacity as scenarios, not a single confident forecast.

  1. Define demand, service level, time horizon, constraints, units, and owners.
  2. Establish a factual baseline for throughput, queues, utilization, availability, and data quality.
  3. Produce base, upside, and stress scenarios with assumptions visible.
  4. Identify leading indicators, thresholds, decision dates, and reversible actions.
  5. Separate observed capacity from planned capacity and avoid treating utilization as productivity.

Deliver a one-page plan with assumptions, scenario table, bottleneck, decision triggers, owner, and review cadence. Do not invent precision or make staffing/financial commitments without user approval.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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