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from awesome-omni-skills66
Clinical-focused analytics workflow to analyze rehabilitation/training data, track recovery trends, detect pain patterns, and generate progress reports while pr
This skill analyzes rehabilitation data (ROM, strength, pain logs, adherence) to produce progress summaries, trend visualizations, and recommendations. It includes algorithms for trend fitting, pain time-series analysis, adherence metrics, and stage-preparedness scoring, packaged with provenance so reviewers can inspect source files.
Use when you need a data-backed rehabilitation progress report, trend analysis (ROM, strength, balance), pain pattern identification, or adherence assessment. Not a substitute for professional medical advice — the skill produces analytic summaries and recommendations for review by clinicians.
Useful with analysis and code-generation agents (Codex CLI, Claude Code, Cursor, Gemini CLI) for building visualizations, validation checks, and report templates.
This is a rehabilitation data analysis skill packaged as an editorial intake copy from the 'awesome-omni-skills' repo. The SKILL.md is extremely verbose and mostly in Chinese, describing a rehabilitation tracker workflow with no actual scripts or executable code — it's purely a prompt/instructions file. The skill references local data files (data/rehabilitation-tracker.json) that don't exist in any bundled scripts directory. The content is a repackaged upstream skill with editorial meta-commentary about provenance and intake processes layered on top, making it confusing and unfocused. No security issues found — it's purely instructional text with no executable code, no network calls, no credentials, no destructive commands.
This appears to be an auto-generated or bulk-imported skill from the 'awesome-omni-skills' collection. The SKILL.md is bloated with meta-commentary about provenance and intake processes that distract from the actual workflow. The rehabilitation analysis content itself is detailed but has no executable component — it's essentially a detailed prompt template. The skill structure doesn't follow the agent skill spec well: frontmatter is present but has minimal useful metadata, there's no scripts/ directory, no references/ directory, and the content mixes editorial commentary with actual instructions. The related skills section links to completely unrelated domains (React, production audit). Usefulness is low because this is a niche health/rehabilitation tool with no actual implementation, and the target audience (developers setting up AI agents) would rarely need rehabilitation analysis workflows.
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