by affaan-m
hipaa-compliance is the HIPAA-specific entrypoint for healthcare privacy and security work. Use the hipaa-compliance skill when a task is explicitly about PHI, covered entities, BAAs, breach posture, or whether a workflow creates HIPAA exposure. It is a thin overlay for fast compliance triage and guidance.
by affaan-m
healthcare-emr-patterns is a practical skill for EMR/EHR design in Healthcare. It covers patient encounter workflows, clinical note-taking, medication checks, lab result highlighting, audit trails, CDSS integration, and accessibility-first medical data entry for safer clinician workflows.
by affaan-m
healthcare-eval-harness is a patient safety evaluation harness for healthcare app deployments. It helps teams verify CDSS accuracy, PHI exposure, data integrity, clinical workflow behavior, and integration compliance before release. Critical failures block deployment, making it useful for healthcare-eval-harness for Model Evaluation and CI safety gates.
by affaan-m
healthcare-cdss-patterns helps backend developers build deterministic CDSS logic for medication checks, dose validation, clinical scoring, and alert severity. It favors pure-function decision engines for EMR-adjacent workflows, making patient-safety rules easier to test, validate, and integrate.
by K-Dense-AI
iso-13485-certification helps medical device teams prepare ISO 13485:2016 certification documentation. Use it for gap analysis, Quality Manual drafting, required procedures, work instructions, Medical Device File content, and audit prep. It is especially useful for technical writing and certification-ready QMS documentation.
by K-Dense-AI
clinical-reports is a structured writing skill for clinical case reports, diagnostic reports, clinical trial reports, and patient documentation. It supports CARE, ICH-E3, HIPAA, FDA, and ICH-GCP workflows, with clear templates and guidance for accurate, de-identified, publication-ready clinical writing.
by K-Dense-AI
The clinical-decision-support skill generates publication-ready CDS documents for pharma, clinical research, and evidence synthesis. Use it for biomarker-stratified patient cohort analysis, treatment recommendation reports, and decision algorithms with GRADE-style reasoning, statistical framing, and LaTeX/PDF output. Best for structured clinical decision support, not bedside care.
