treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
npx skills add LeonChaoX/qinyan-academic-skills --skill treatment-plans --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Generates concise medical treatment plans (3-4 pages) in LaTeX/PDF format for all clinical specialties, including SMART goals, evidence-based interventions with minimal citations, regulatory compliance (HIPAA), and professional formatting.
How it works
The skill structures plans to be concise and actionable, prioritizing a 3-4 page maximum unless highly complex cases necessitate more detail. It requires mandatory visual schematics generated via the scientific-schematics workflow and describes inclusion of an executive summary on the first page following a Foundation Medicine-like model. The plan format supports one-page, standard 3-4 page, or extended 5-6 page formats. The first page must include a Title and Subtitle, a Report Information Box, and 2-4 colored boxes for Key Findings (Goals, Interventions, Decision Points, Timeline). It enforces minimal prose, emphasizes bullet points, and uses tables and boxes to present essential data efficiently. It prescribes minimal in-text citations (Author Year or brief references) and discourages extensive bibliographies. It outlines sections such as Patient Information, Diagnosis and Assessment, Treatment Goals (SMART), Interventions (Pharmacological, Non-pharmacological, Procedural), Timeline and Schedule, Monitoring Parameters, Expected Outcomes, Follow-up Plan, and Patient Education.
When to use it
Use when creating individualized treatment plans, chronic disease management, rehabilitation programs, mental health plans, perioperative care, pain management, SMART goal setting, multidisciplinary coordination, and regulatory-compliant documentation.
What it can touch
Not applicable here because the reviewer does not access the concrete tool outputs; however, the skill specifies that the plan should embed:
- LaTeX templates
- Figure generation via the scientific-schematics tool (AI-generated diagrams)
- Validation tools for LaTeX/PDF output
Caveats
The skill requires mandatory inclusion of at least one AI-generated schematic and adherence to HIPAA and concise content. It prescribes first-page executive summary structure and three length options (1-page preferred, 3-4 pages standard, 5-6 pages extended). It mandates minimal citations and emphasizes actionability over narrative prose. The license is MIT. The skill author is listed as K-Dense Inc. in metadata.
# Treatment Plan Writing ## Overview Treatment plan writing is the systematic documentation of clinical care strategies designed to address patient health conditions through evidence-based interventions, measurable goals, and structured follow-up. This skill provides comprehensive LaTeX templates and validation tools for creating **concise, focused** treatment plans (3-4 pages standard) across all medical specialties with full regulatory compliance. **Critical Principles:** 1. **CONCISE & ACTIONABLE**: Treatment plans default to 3-4 pages maximum, focusing only on clinically essential information that impacts care decisions 2. **Patient-Centered**: Plans must be evidence-based, measurable, and compliant with healthcare regulations (HIPAA, documentation standards) 3. **Minimal Citations**: Use brief in-text citations only when needed to support clinical recommendations; avoid extensive bibliographies Every treatment plan should include clear goals, specific interventions, defined timelines, monitoring parameters, and expected outcomes that align with patient preferences and current clinical guidelines - all presented as efficiently as possible. ## When to Use This Skill This skill s
- Overview
- When to Use This Skill
- Visual Enhancement with Scientific Schematics
- Document Format and Best Practices
- Document Length Options
- First Page Summary (Foundation Medicine Model)
- Concise Documentation
- Quality Over Quantity
- Citations and Evidence Support
- Core Capabilities
- 1. General Medical Treatment Plans
- 2. Rehabilitation Treatment Plans
- 3. Mental Health Treatment Plans
- 4. Chronic Disease Management Plans
python scripts/generate_schematic.py "your diagram description" -o figures/output.png Compile LaTeX template to PDF pdflatex general_medical_treatment_plan.tex For templates with references pdflatex treatment_plan.tex bibtex treatment_plan python check_completeness.py my_treatment_plan.tex python validate_treatment_plan.py my_treatment_plan.tex python timeline_generator.py --plan my_treatment_plan.tex --output timeline.pdf cd .claude/skills/treatment-plans/scripts
What does the treatment-plans skill do?
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill treatment-plans --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.