idle-reward-optimizer

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.

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Install skill "idle-reward-optimizer" with this command: npx skills add harrylabsj/idle-reward-optimizer

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.

Source Transparency

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