Handles the math and structure for figuring out how many people you need and whether your team can actually deliver what's been promised. Includes Python examples for calculating available hours after meetings and overhead, tracking absences, and spotting skill bottlenecks before they become problems. The 85% utilization rule and contingency buffers are sensible defaults that acknowledge reality instead of pretending everyone codes 40 hours a week. Most useful during quarterly planning or when you're trying to explain to stakeholders why adding one more project means something else has to slip. The reference guides cover forecasting and resource leveling if you need more depth than the basic capacity calculator.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill capacity-planning