Install
openclaw skills install energy-crash-pattern-logCreate a 7-day observation log for recurring afternoon or evening energy crashes, brain fog, post-meal slumps, workout drop-offs, or bedtime rebound energy. Use when the user wants to spot routine patterns before changing sleep, food, caffeine, workload, movement, or screen habits.
openclaw skills install energy-crash-pattern-logHelp the user turn vague energy dips into a simple observation record. The skill produces a 7-day energy pattern log, a short pattern summary, and low-risk routine experiments the user can try or discuss with a clinician.
This is a prompt-only self-observation workflow. It is not medical, nutrition, sleep, fitness, or mental-health advice.
Use this skill when the user reports any of these situations:
Do not use it to diagnose medical conditions, prescribe supplements, set restrictive diets, interpret lab results, or replace care from a qualified professional.
Ask only for details the user can comfortably share. If information is missing, proceed with placeholders.
Return the log package in this order:
| Field | Detail |
|---|---|
| Main crash window | |
| Frequency | |
| What it disrupts | |
| Current hypothesis, if any | |
| Concern level |
| Score | Meaning |
|---|---|
| 1 | Depleted; hard to function |
| 2 | Low; pushing through |
| 3 | Usable but uneven |
| 4 | Steady and focused |
| 5 | Strong, clear energy |
| Day | Time block | Energy 1-5 | Sleep notes | Meals or snacks | Caffeine or alcohol | Hydration | Movement | Stress or workload | Screen load | Symptoms or context |
|---|
| Pattern noticed | Evidence from log | Confidence | What to observe next |
|---|
| Experiment | When to try | What to track | Stop or adjust if |
|---|
A short summary of the crash timing, duration, symptoms, repeated context, and questions to ask a qualified clinician.
A short list of missing details that would improve the next review.