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file-cleanup
Session-based file cleanup for privacy compliance. Use to delete temporary files, uploaded clinical notes, generated outputs, and expired logs to maintain HIPAA-friendly operations.
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RooseveltAdvisors AI Skills
GitHub ↗Browse published AI skills maintained by RooseveltAdvisors. Compare skill descriptions and follow each source repository for setup instructions.
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json-validation
Pydantic schema validation for agent outputs. Use to validate JSON against TableOfContents, ClinicalSummary, TreatmentPlan, and EvaluatorFeedback schemas before accepting agent responses.
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GitHub
structured-logging
JSON-based structured logging for audit trails and debugging. Use for logging all agent operations, quality metrics, errors, and execution times with daily rotation and automatic cleanup.
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GitHub
section-detection
Detect clinical note sections (HPI, ROS, Assessment, Plan) using regex patterns and LLM topic segmentation. Generates ToC with accurate byte offsets.
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GitHub
ollama-client
Phi-4 LLM interaction skill for generating text completions via Ollama API. Use for all LLM inference tasks including section detection, summarization, recommendation generation, and quality evaluation.
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GitHub
rag-retrieval
Hybrid search (embedding + BM25) for retrieving relevant clinical note passages. Use for finding source evidence to support claims in summaries and recommendations.
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GitHub
contextual-chunking
Contextual Retrieval implementation for RAG - chunks clinical notes with LLM-generated context prepended to each chunk before embedding. Improves citation accuracy by 49% per Anthropic research.
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GitHub
citation-extraction
Extract and validate citations with Jaccard overlap calculation. Ensures all claims have verifiable source evidence with ≥0.7 alignment threshold.
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GitHub
chroma-client
ChromaDB vector database client for storing and retrieving text embeddings with hybrid search (dense + sparse). Use for RAG operations, contextual retrieval, and similarity search in clinical notes.
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