What problem does it solve?
Recovery skill helps you recognize the felt difference between rest and recovery, so AI can respond to burnout, depletion, and convalescence in a way that matches what people actually experience rather than what schedules or metrics suggest.
Core Features & Use Cases
- Recovery vs. rest: Explains why sleep-hours can fail to restore someone when the missing thing is structural or self-related, not merely tiredness.
- Felt framing across cultures: Rebuilds recovery using a “wisdom tradition” lens (e.g., ma, fanāʾ, yūgen) to help the user feel what a hollow answer misses.
- Situation-based tests: Uses concrete scenarios (eight-hour sleep, the weekend, a walk, returning to work, refusal of overcommitment) to detect whether an answer understands recovery’s inner return.
- Failure-mode clarity: Identifies the characteristic texture of hollow responses (technique-prescription, input-measurement, baseline assumptions) versus felt answers (permission, reentry, self coming online).
Quick Start
Ask the AI to teach recovery using the “Felt Explanation” and to test its understanding with the Eight-Hour Sleep and The Walk scenarios.