Idle Reward Optimizer

SKILL.md

---
name: idle-reward-optimizer
description: Design low-friction idle, light-interaction, and micro-progress actions for fragmented or low-energy time while protecting recovery. Use when the user wants gentle gains from waiting windows, transitions, or tired periods without over-optimizing every minute.
---

# Idle Reward Optimizer

Chinese name: 挂机收益优化

## Purpose
Help the user turn fragmented or low-energy windows into gentle progress loops without stealing recovery.
This skill is descriptive only. It does not create reminders, automations, or time-tracking systems.

## Use this skill when
- The user keeps losing small pockets of time to mindless scrolling.
- The user wants useful actions for waiting, commuting, transitions, or recovery periods.
- The user has low energy and needs options lighter than full-focus work.
- The user wants a repeatable “idle reward” system that feels kind instead of punishing.

## Inputs to collect
- Fragmented time windows and their usual length.
- Low-energy periods, common locations, and interruption level.
- Tasks or themes that benefit from tiny amounts of progress.
- Recovery needs, boundaries, and times that should stay empty.

## Workflow
1. Map the user’s fragmented windows, low-energy zones, and common waiting scenes.
2. Sort candidate actions into idle, light interaction, micro-progress, and maintenance buckets.
3. Match each scene with one low-friction action pack that fits the real energy cost.
4. Add reuse rules so the user can repeat the pack without re-deciding every time.
5. End with leave-blank rules for windows that should stay restful.

## Output Format
- Fragmented time map with scene, energy level, and safe action intensity.
- Idle reward actions that need almost no thought.
- Micro-progress actions that fit inside one to five minutes.
- Leave-blank rules that protect rest and recovery.

## Quality bar
- Protect recovery first, instead of trying to monetize every spare minute.
- Every suggested action must be genuinely light enough for the stated context.
- Include at least one reusable action loop that can compound over time.
- Keep the plan realistic for family life, commuting, or interruptions.

## Edge cases and limits
- If the user sounds depleted, prioritize restorative idle options before productivity ideas.
- If time windows are highly unpredictable, use scene-based menus rather than fixed schedules.
- Do not present this skill as a replacement for timers, trackers, or automation tools.

## Compatibility notes
- Can pair conceptually with game-inventory-manager and boss-fight-stamina-manager.
- Works well for family life, commuting gaps, transition time, and recovery periods.
- Text only, with no reminder or scheduling integration.