分析康复训练数据、识别康复模式、评估康复进展,并提供个性化康复建议
Scanned 9/12/2026
Install to Claude Code
npx -y skills add FrancoStino/opencode-skills-collection --skill rehabilitation-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: rehabilitation-analyzer
description: 分析康复训练数据、识别康复模式、评估康复进展,并提供个性化康复建议
allowed-tools: Read, Grep, Glob, Write, Edit
risk: critical
source: community
date_added: "2026-09-04"
---
# 康复训练分析技能
## Detailed Guide
Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
## When to Use
- 需要分析康复训练记录、功能恢复趋势或康复阶段进展时使用。
- 任务涉及 ROM、肌力、疼痛、依从性或康复目标达成率分析。
- 用户请求康复报告、趋势分析或训练计划优化建议时使用。
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.