liquid-glass
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in SwiftUI UI, refactor to Liquid Glass, or review Liquid Glass usage.
探索开发、内容、数据与办公效率等 AI 技能。先比较用途和仓库热度,再查看技能说明与来源。
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in SwiftUI UI, refactor to Liquid Glass, or review Liquid Glass usage.
Handles backend/API/database work for Unite-Hub. Implements Next.js API routes, Supabase database operations, RLS policies, authentication, and third-party integrations (Gmail, Stripe).
RESTful API 설계 시 따라야 할 원칙과 베스트 프랙티스를 정의합니다
Data validation and settings management using Python type annotations with Pydantic v2
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAP...
CLI publishing workflow using npm optional dependencies for native binaries. CI builds binaries, you publish locally via npm. Trigger terms: publish, release, npm, cli, version, tag, vibetracking, package, depl...
Create a new release of mcp-server-manager with version bump, tag, and GitHub release notes
Python/pytest TDD specialist for test-driven development workflows. Use when writing tests, auditing test quality, running pytest, or generating test reports. Integrates with uv and pyproject.toml configuration...
Configure Scarb.toml, dojo profiles, world settings, and dependencies. Use when setting up project configuration, managing dependencies, or configuring deployment environments.
Detect project stack from package manifests (package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, CMakeLists.txt). Auto-identify frameworks, test tools, and build systems for onboarding.
Dependency management specialist. Use when updating dependencies, scanning for vulnerabilities, analyzing dependency trees, or ensuring license compliance. Handles npm, pip, maven, and other package managers.
Initialize new Dojo projects with proper directory structure, configuration files, and dependencies. Use when starting a new Dojo game project or setting up the initial project structure.
Guide for the Map page feature (Kakao Maps integration, location search, store category filtering). Use when working on map components, search bar, bottom sheet, detail sheet, store/pickup filters, or Kakao Map...
新規ブランチを作成し checkout する
Use this skill ONLY when modifying the execution engine, signal queue, position tracker, cooldown manager, or order manager. Do not use for strategies or agents.
IDO build configuration for N64 decompilation. Use when setting up C compilation for an IDO-based N64 decomp project. Covers asm-processor setup and build integration.
Unified CLI for personal knowledge base. This skill should be used when users want to save memories, search past conversations, persist current sessions, or manage stored information. Triggers: 记忆, 知识库, 保...
Autonomous feature development - setup and execution. Triggers on: ralph, set up ralph, run ralph, run the loop, implement tasks. Two phases: (1) Setup - chat through feature, create tasks with dependencies (2)...
Research and persist coding documentation using Perplexity AI. Use when user asks about documentation, APIs, frameworks, libraries, best practices, coding patterns, or needs to research technical topics. Always...
How to properly create Claude Code skills - teaches global vs project-local, naming conventions, and proper file structure
Agent 채팅 데이터 무결성 관리 스킬. IndexedDB v3 스키마, Optimistic Updates, Eventual Consistency 패턴 구현 시 사용.
This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Design and generate complete social media playbooks (scripts, visuals, captions, hooks, thumbnails, transitions) for Synthex clients across YouTube, TikTok, Instagram, Facebook, LinkedIn, and Shorts/Reels. Use...
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。