refactor-setup
리팩토링 환경 구성. worktree 생성, 코드 리뷰, 리팩토링 계획 문서 작성. "리팩토링 셋업", "리팩토링 준비" 요청 시 사용.
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
리팩토링 환경 구성. worktree 생성, 코드 리뷰, 리팩토링 계획 문서 작성. "리팩토링 셋업", "리팩토링 준비" 요청 시 사용.
사용자가 번역을 요청한 단어를 정중한 표현의 영어로 번역한다.
Analyze and Refactor TypeScript data models. Detect duplication, improve type safety, and validate relationships in interfaces/types.
Reviews React components and provides improvement suggestions. Use when you need code review, component review, structure improvement, refactoring, or component separation.
DRY, KISS, SRP 원칙에 대해서 코드 리뷰를 수행합니다. 코드 품질 검토, 리팩터링 기회 식별, 중복 코드 감지, 복잡한 로직 단순화에 특화되어 있습니다.
Encrypts patient payload using AES-256-GCM cryptographic algorithm for HIPAA compliance
Execute Git commands including status, diff, log, branch, checkout, merge, and stash operations
Implements error boundaries, crash reporting, graceful failure handling, and system observability for high-availability applications
Optimizes TensorFlow.js WebGPU backend, WebLLM offline inference, and implements memory safety for heavy ML models
Normalizes image histograms to preserve melanin features using Canvas API before analysis
Validates image file signatures using Magic Bytes and calculates SHA-256 cryptographic hash
Commits transaction hash to immutable AgentDB ledger for complete audit trail of clinical analysis
Extracts vector embeddings for fairness analysis using MobileNetV3 with FairDisCo disentanglement
Isolates skin regions from background clutter using calibrated thresholds for downstream analysis
Retrieves 10 similar historical cases from AgentDB vector store for RAG-based diagnosis support
Central Goal-Oriented Action Planning orchestrator that plans and executes clinical analysis pipelines
Applies decision thresholds for high-confidence inputs or enforces conservative safety margins for low-confidence cases
Manage Git worktrees for working on multiple branches simultaneously without cloning the repository
Classifies skin conditions including Melanoma and Basal Cell Carcinoma using TF.js MobileNetV3
Synthesizes lesion data and historical cases into a comprehensive risk profile using WebLLM SmolLM2
Grounds clinical diagnosis via live medical literature search using Google Search Tool
Classifies patient skin tone using Fitzpatrick/Monk scale with Gemini 3 Flash and outputs confidence score
Create GitHub releases with version tags, release notes, and changelog generation from merged PRs
Generates actionable clinical advice (max 25 words) calibrated for patient skin tone using WebLLM or Gemini
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.