Builds and reviews 5K to marathon running plans: a tested script checks weekly volume jumps, long run share and progression, hard and back-to-back days, rest and cutback weeks, peak timing, and taper, then the skill explains the risks in plain language and proposes a safer week-by-week plan.
Plans a day hike leg by leg. Estimates time with Naismith's rule and Langmuir's descent corrections, adjusted for terrain, fitness, pack weight and breaks, gives clock times for each leg, checks the finish against sunset and the latest safe start, and works out water to carry between refills and snacks to pack. Flags after-dark finishes, long dry stretches and hard terrain late in the day. Includes a stdlib Python planner with --self-test.
Builds a day-by-day jet lag plan from flight times and your usual sleep hours. Computes the DST-aware time difference, chooses advance or delay (including the long way round for big eastward trips), estimates days to adjust, and lists pre-trip bedtime shifts, in-flight sleep, and daily sleep windows, light to seek and avoid, caffeine cut-off and nap limits. Flags short trips. Includes a stdlib Python planner with --self-test.
Builds a weekly meal plan with portion estimates and a grocery list rolled up by store section, then estimates total cost from unit prices you provide or simple defaults. Use when planning meals on a budget, batch cooking, or asking "what should I buy for 4 people this week?". Includes a stdlib Python cost estimator with --self-test.
Plans where every batch-cooked portion lives after a meal prep session: which stay in the fridge, which go in the freezer on prep day, when to move each to the fridge to thaw, and what goes on the labels, using conservative USDA fridge and freezer times. Flags meals planned past the use-by date, foods that do not freeze, shortfalls, leftovers and a full fridge. Includes a stdlib Python planner with --self-test.
