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De-identifying Multilingual Clinical Text

deidentifying-multilingual-text

maziyarpanahi/openmed

This skill de-identifies sensitive PII from clinical notes across numerous languages, including Spanish, German, French, and Arabic. It automatically selects language-specific PII models, national ID regex patterns, and generates locale-aware fake surrogates. Designed for global healthcare datasets, it runs entirely on-device, ensuring maximum privacy and linguistic accuracy for diverse international clinical records.

Dependency Manifest Diagnosis Tool

dependency-doctor

Shubhamsaboo/awesome-llm-apps

This local developer tool inspects dependency manifests (requirements.txt, pyproject.toml, package.json) for surface-level issues like standard-library shadowing, unpinned dependencies, and conflicts. It provides plain-language explanations and suggested fixes, helping developers debug dependency rot before deeper installation attempts.

Deploying OpenMed MCP Server Tools

deploying-openmed-mcp

maziyarpanahi/openmed

This skill deploys the OpenMed Model Context Protocol (MCP) server, exposing critical clinical NLP tools such as NER, PII extraction, and de-identification. It enables AI coding agents and chat clients to interact with OpenMed's capabilities via simple tool calls, running locally on-device to ensure user data privacy and security. Supports both stdio and Streamable HTTP deployment modes.

Safely Remove Git Worktree With Cleanup

git-worktree-remove

FlorianBruniaux/claude-code-ultimate-guide

This tool provides a comprehensive and safe mechanism to remove a git worktree. It includes multiple safety checks, such as verifying if the branch is protected, checking for uncommitted changes, and confirming merge status. Furthermore, it guides the user through the entire cleanup process, including deleting local and remote branches, pruning references, and reminding about associated database cleanup.

Frontend JavaScript Reverse Engineering

zhaoxuya520/reverse-skill

Guideline for front-end JavaScript reverse engineering using js-reverse MCP tools and jshookmcp. Covers locating signature and encrypted parameters, tracing request initiators, runtime sampling via hooks, local Node environment reconstruction, and evidence-first output for reproducing signing logic.

Load And Cache OpenMed Biomedical Models

loading-openmed-models

maziyarpanahi/openmed

This skill manages the loading and efficient caching of OpenMed clinical/biomedical Named Entity Recognition (NER) models. Models are downloaded once from the Hugging Face Hub, enabling full offline operation afterward. It supports model reuse across multiple calls, configuring cache directories, specifying devices (CPU/GPU), and handling various model identifiers (registry keys, full HF IDs, or local paths).

OpenClaw Memory Plugin Setup and Configuration

openclaw-memory-tencentdb-setup

TencentCloud/TencentDB-Agent-Memory

A comprehensive guide for installing, configuring, and validating the local long-term memory plugin (`memory-tencentdb`) within the OpenClaw environment. This guide covers everything from environment pre-checks to advanced configuration for data capture, information extraction, context recall, and vector embedding, ensuring robust, self-contained memory capabilities for RAG applications.

Selecting On-Device PII Models

pick-a-pii-model

maziyarpanahi/openmed

Guides users to select a local, on-device Personally Identifiable Information (PII) detection model from a committed registry. It filters models based on language, required runtime environment (e.g., PyTorch, MLX), and size constraints. The process emphasizes building an offline shortlist and mandates rigorous pre-deployment recall validation and performance benchmarking to ensure secure, privacy-preserving deployment.

PR Backlog Triage and Deep Review

FlorianBruniaux/claude-code-ultimate-guide

This skill provides a comprehensive, 4-phase workflow for managing and reviewing a pull request backlog. It automatically audits open PRs, classifying them by size, staleness, overlap, and CI status. Users can then initiate deep code reviews, generate comment drafts, and set up local worktrees for systematic maintenance and quality assurance.

Proof Orchestrator

proof-orchestrator

wanshuiyin/Auto-claude-code-research-in-sleep

Manage stateful proof projects with run directories, local source bookkeeping, manual GPT Pro handoff packages, optional DeepSeek review, and rigorous audit gates.

Running OpenMed On-Device with Local Backends

running-openmed-ondevice

maziyarpanahi/openmed

This skill guides users on deploying OpenMed models completely on-device for maximum privacy and edge computing. It details running workflows using three backends: MLX (Apple Silicon), CoreML (iOS/macOS), and ONNX/WebGPU (cross-platform/browser). The process involves converting, optionally quantizing, and running models locally, ensuring PHI never leaves the host device.

Scaffolding SMART on FHIR for Clinical AI

scaffolding-smart-on-fhir

maziyarpanahi/openmed

A comprehensive guide for embedding OpenMed-powered tools into Electronic Health Records (EHRs) like Epic or Cerner. It covers the entire SMART on FHIR workflow, including OAuth2 PKCE authorization, granular scoping (e.g., patient/DocumentReference.rs), secure token handling, and processing clinical notes locally on-device for de-identification and Named Entity Recognition (NER).

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