Analyze Rehabilitation Progress and Trends

This skill analyzes rehabilitation training data to track progress, identify improvement patterns, and optimize training plans, triggered by commands like /rehab progress, /rehab analysis, /rehab trends, and /rehab report. It reads a main rehabilitation profile (rehabilitation-tracker.json) and daily training logs, validates that enough data exists (at least 3 assessments or 10 days of training), then runs a seven-step analysis: functional trend analysis (range of motion via linear regression to compute degrees/week improvement rate and predict target-date, manual muscle testing strength grades, balance test scores and fall-risk), pain pattern analysis (morning vs. post-activity pain time series, 7-day moving averages, trigger-factor identification linking specific exercises or intensity to pain), training adherence calculation (actual vs. planned sessions, rated excellent ≥90% down to needs-improvement <60%), goal achievement tracking with linear-extrapolation time predictions, rehabilitation phase progression readiness scoring (≥80% ready to advance, 60-79% proceed cautiously, <60% continue current phase), and a full or brief progress report. It also supports cross-module correlation analysis against fitness, sleep, and medication-tracking data.

Use it when analyzing rehabilitation training records, functional recovery trends, or rehab phase progression; when the task involves range of motion, muscle strength, pain, adherence, or goal-achievement analysis; or when a user requests a rehab report, trend analysis, or training plan optimization suggestions.

This system explicitly does NOT provide specific rehabilitation exercise prescriptions, does not replace professional physical therapist guidance, does not diagnose injuries or complications, does not adjust rehabilitation phase plans, does not predict recovery prognosis timing, and does not handle acute pain or injury. It DOES provide data analysis and trend identification, progress tracking and goal management, general rehabilitation suggestions, reminders to seek professional care, training/assessment data logging, and progress reports. All rehabilitation training plans should follow a physical therapist's guidance, any worsening pain or functional regression should prompt prompt medical attention, and regular professional assessment is called out as key to rehabilitation success - system suggestions are for reference only and do not replace professional judgment. All data is stored locally on the user's device only, never uploaded to any cloud server or shared with third parties.

Input: a rehabilitation tracker profile and daily training/pain logs. Output: a structured progress report (or brief summary) covering functional improvement trends, pain control, training adherence, goal achievement, and phase-progression readiness, with personalized (non-prescriptive) suggestions.

Adherence rating: Excellent >=90% | Good 75-89% | Fair 60-74% | Needs improvement <60%
Phase readiness: >=80% ready to advance | 60-79% proceed cautiously | <60% continue current phase

Reads data/rehabilitation-tracker.json (user profile, goals, exercise log, functional assessments, phase progression, pain diary, statistics) and daily log files under data/rehabilitation-logs/YYYY-MM/. Cross-references fitness-tracker, sleep, and medication-tracking data modules for correlation analysis when requested.

Individuals tracking their own physical rehabilitation (e.g. post-surgery recovery) who want trend analysis, adherence tracking, and phase-progression insight from their own logged training and pain data - not a substitute for their physical therapist's prescriptions or professional assessment.