This one walks you through building project estimates using three different techniques: three-point PERT estimation with confidence intervals, bottom-up task decomposition, and analogous estimation based on historical data. The code examples are practical, showing you how to calculate weighted estimates, standard deviations, and resource allocations in Python. It's most useful when you need to defend timeline and budget numbers to stakeholders or when you're working on something unfamiliar and can't just wing it. The best practices section is honest about common pitfalls like estimating under pressure or forgetting to account for non-coding work. Good reminder to track actual versus estimated metrics so your next estimate doesn't suck as much.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill project-estimation