Search 10-15+ sources and read full-text articles to answer sinusitis questions.
npx skills add https://github.com/milsonson/--claude-skill --skill sinusitis-care
Please help me install this Agent Skill. Skill: sinusitis-care Source: https://github.com/milsonson/--claude-skill/tree/main/skills/sinusitis-care Command: npx skills add https://github.com/milsonson/--claude-skill --skill sinusitis-care
Enables clinicians to deliver evidence-based sinusitis care by conducting comprehensive, multi-source literature searches, validating information across authoritative databases, and guiding safe, informed medical decisions with explicit uncertainty markings.
Install the skill, initialize a patient profile if needed, then begin a guided sinusitis consult following the mandatory search workflow.
High-intent search queries and answers about installing and using this skill.
Finding evidence-based sinusitis treatment options requires deep literature searches across 10-15+ authoritative sources, extracting actionable clinical insights via full-text article reading, and cross-checking data. This process returns validated guidance with explicit uncertainty markers reflecting evidence quality.
Danger signals for complicated sinusitis are identified through automatic red flag detection during clinical decision support searches. The system queries multiple clinical databases to recognize urgent care indicators, ensuring dangerous complications are flagged immediately during the evidence-review process.
Yes, you can use local patient history for sinusitis clinical decision support by initializing a built-in patient profile. The system securely manages on-device data storage, integrating local consultation records with literature search results to provide context-aware medical guidance.
Evidence quality marking for sinusitis literature reviews works by applying explicit uncertainty markers (✅⚠️❓🔍) to each clinical recommendation. These symbols reflect the validity and strength of evidence gathered from cross-checked sources during the phased search workflow.
Yes, this sinusitis care approach handles acute, chronic, and complicated sinusitis queries. It conducts mandatory deep reading of full-text sources and performs comprehensive literature searches to compare treatment options across all sinusitis types.
Limitations of automated literature searches for sinusitis care include the mandatory requirement to deep-read 3-5 full-text sources per query, which may increase processing time. Additionally, all recommendations require explicit uncertainty marking, indicating that evidence quality varies across clinical sources.
aresbitSummarize URLs, local files, and video transcripts into concise summaries.
loganylchenGenerate clinical decision support documents with LaTeX/PDF outputs.
GoldenZeroMatch patient clinical profiles to evidence-based guidelines and generate gap analysis recommendations.
HolobiomicsLabGenerate publication-ready clinical decision support documents with GRADE evidence grading and LaTeX/PDF output.
