Plugins

Secure storage, certificate pinning, biometric auth, jailbreak detection, code obfuscation, network security, screenshot prevention for React Native

MMKV high-performance key-value storage for React Native - synchronous JSI-based reads/writes, encryption, typed hooks, multiple instances, listeners, persistence middleware adapters

PowerSync offline-first sync engine on SQLite for React Native - schema definition, watched queries, CRUD operations, backend connectors, sync rules, conflict resolution, attachments

WatermelonDB reactive local database for React Native - schema, models, decorators, reactive queries, relations, writers/readers, batch operations, migrations, sync

NativeWind v4+ - Tailwind CSS utility classes for React Native, className prop, CSS variables, dark mode, platform prefixes, animations, theming, third-party component integration

Unistyles 3.0 styling - C++ powered StyleSheet superset with zero re-renders, theming, breakpoints, variants, dynamic functions, runtime values

Detox E2E gray-box testing for React Native - matchers, actions, expectations, waitFor, device API, synchronization, mocking, artifacts, CI integration

Maestro mobile E2E testing - YAML flows, selectors, flow control, environment variables, JavaScript expressions, device interactions, Maestro Studio, Maestro Cloud CI, tags, test suites

React Native Paper v5+ - Material Design 3 theming, PaperProvider, key components, dynamic color, accessibility, tree-shaking, custom fonts, navigation integration

Tamagui universal UI - styled(), tokens, themes, optimizing compiler, responsive media queries, animations, Sheet/Dialog components

Use skill if you are controlling, automating, or testing a connected Android phone via the mobilerun CLI — tapping, typing, swiping, reading the screen, or running a multi-step on-device task.

Mobiscroll UI development skill with MCP server

from robanderson/claude-my-skills

Run prompts through individual AI CLIs — Antigravity/agy (Gemini), codex/GPT, and cursor/agent with fallback support

멀티모델 리서치·개발 오케스트레이터 — 메인 오케스트레이터가 계획을 수립·토론하고 서브 에이전트들(Codex·Claude 코더/리서처)에게 병렬 작업을 지휘한 뒤, 초기 기획 기준으로 심사·통합해 최종 결과를 만든다.

FastAPI 기반 REST API 모델 배포를 자동화합니다. Docker 컨테이너화 및 Swagger UI 문서를 제공합니다.

모델 성능 평가 및 시각화를 수행합니다. Feature Importance, Learning Curves, Cross-Validation 등을 제공합니다.

Reproducible model training, evaluation, intervention, and Apple runtime research workflows.

Effort-aware prompt routing for Claude Code. Classifies prompt complexity and injects effort guidance.

모델 성능 모니터링 및 데이터 드리프트 감지를 수행합니다. PSI, KS Test 기반 알림 시스템을 제공합니다.

Opt a project into down-tier model delegation: installs a standalone .claude/rules/ file telling Claude to route well-specified data and coding tasks to a cheaper model in a subagent, keeping judgment-heavy work in the main loop. Optional pre-shaped .claude/agents/ definitions and an optional agent-state feedback layer.

머신러닝 모델 학습 및 선택을 수행합니다. XGBoost, LightGBM, Random Forest 등 주요 알고리즘을 지원합니다.

Build a polished, production Telegram bot around a model / HF Space / API — a 7-phase playbook (Discover→Design→Menus→Data→Backend→Build→Deploy), a 32-entry gotchas catalog, and real starter module templates. (Private repo — installs for the owner.)

Run model creation and training as a product: training pipeline architecture (Argo/Kubeflow, trigger taxonomy), MLflow experiment/registry standards, distributed-training topology selection (Ray/Dask/Spark), Ray on K8s operations, notebook-to-production golden path, and fine-tuning strategy (prompt vs RAG vs PEFT).

Security vetting gate for new AI models: before any open-weights or hosted model is integrated into the Claude Code harness or local dev system, verify weights provenance and integrity, file-format safety, license and data terms, the serving path, and stage its agentic access.

The Excel spine. Designs and structures spreadsheet models before formulas are written and builds the analytical engines behind them: model-standards (tab structure, conventions, reference and lookup layer, executive output tabs), scenario-engine (three scenarios, sensitivity and tornado, risk-adjusted value), model-audit (formula audit plus assumption registry, board-ready), dcf-structure, bridge-waterfall, tam-sam-som-model, competitive-benchmarking-grid and portfolio-prioritization-matrix. Calls the xlsx engine for the actual build; thinking-toolkit and execution-toolkit reference it for numbers.

from Dieshen/claude_marketplace

Modern Python best practices. Use when creating new Python projects, and writing Python scripts, or migrating existing projects from legacy tools.

Keep your coding agent up to date with the latest web best practices

AI-powered .NET modernization and upgrade assistant. Helps upgrade .NET Framework and .NET applications to the latest versions of .NET.