fhir-data-model-design

A skill for generating structured software release notes that summarize new features, improvements, bug fixes, and breaking changes with migration guidance. It provides a standard template with sections for highlights, features, improvements, bug fixes, and dependency updates, along with git commands to gather commit history.

A skill from the SpeziVibe collection by Stanford Spezi, providing installable guidance for building digital health software with AI coding tools. The collection covers product, clinical, regulatory, interoperability, and platform guidance packaged as reusable skills.

Generates changelog entries from git history following the Keep a Changelog format, documenting notable changes for releases with standardized categories like Added, Changed, Fixed, and Removed.

A skill that guides users through Stanford Biodesign's needs-finding process to define, scope, and refine rigorous health-app need statements without jumping prematurely to solutions. It helps structure the observation, synthesis, and need statement phases of biodesign methodology.

A planning skill from the SpeziVibe collection that transforms outputs from upstream planning skills into a structured, milestone-based implementation plan. It extracts buildable features, maps them to available packages or modules, and sequences everything for step-by-step development.

A Stanford Spezi skill that helps choose between React Native and Apple-native platforms for digital health apps, then clones the matching Spezi starter template and transfers planning briefs so the coding agent has full context for implementation.

A collection of 170 production-ready skills for Claude Code CLI covering Cloudflare Workers, D1, AI integrations, React, and Tailwind. This skill provides guidance for building durable Cloudflare Workflows with step-based execution and retry logic.