Total 34,662 skills
Showing 12 of 34662 skills
Android 앱 서명을 위한 Keystore 파일을 생성합니다. keystore 생성, 키스토어 만들기, 앱 서명 키 요청 시 사용됩니다.
Guides the agent through implementing authentication and authorization in FastAPI applications. Triggered when users ask to "add authentication", "implement login", "add JWT tokens", "create OAuth2 flow", "hash passwords", "protect endpoints", "add role-based access", "implement RBAC", "add API key auth", "secure the API", or mention authentication, authorization, JWT, OAuth2, password hashing, bcrypt, access tokens, refresh tokens, security dependencies, or API security.
Guides the agent through running and configuring ASGI servers (Uvicorn, Granian, Hypercorn) for Python web applications. Triggered when users say "run a FastAPI app", "configure uvicorn", "set up ASGI server", "deploy with uvicorn", "configure workers", "set up SSL/TLS", "run development server", "configure hot reload", or mention ASGI server, production deployment, server configuration, uvicorn, granian, or hypercorn.
React/Next.js 프론트엔드 프로젝트의 컴포넌트, 페이지, API 라우트, 훅, 스토어 등 보일러플레이트를 자동 생성하는 스캐폴딩 스킬. "컴포넌트 만들어", "페이지 생성", "scaffold", "boilerplate" 등의 요청 시 사용.
For the creation, review, refactoring, and presentation of .ipynb Notebooks (Jupyter / JupyterLab / Google Colab / VS Code). Covers engineered directory structures, efficient token processing, demonstration/sharing patterns, and reproducible workflows with uv/venv.
Diagnose and fix oh-my-claudecode installation issues
Provides the single source of truth for brand guidelines, design tokens, technology choices, and voice/tone. Use whenever generating UI components, styling applications, writing copy, or creating user-facing assets.
Optimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake query_id (UUID format) to analyze or optimize (2) Task mentions "slow query", "optimize", "query history", or "query profile" with a query ID (3) Analyzing query performance metrics - bytes scanned, spillage, partition pruning (4) User references a previously run query that needs optimization Fetches query profile, identifies bottlenecks, returns optimized SQL with expected improvements.
Create install.md files optimized for AI agent execution. Use for ANY question about install.md files or request to create/review installation documentation for autonomous agent use.
Refactor Django/Python code to improve maintainability, readability, and adherence to best practices. Transforms fat views, N+1 queries, and outdated patterns into clean, modern Django code. Applies Python 3.12+ features like type parameter syntax and @override decorator, Django 5+ patterns like GeneratedField and async views, service layer architecture, and PEP 8 conventions. Identifies and fixes anti-patterns including mutable defaults, bare exceptions, and improper ORM usage.
Extract specific revenue guidance and growth projections from earnings call transcripts, including segment breakdown, constant currency adjustments, and M&A contributions.
Risk-Based Value audit worker (L3). Calculates Usefulness Score = Impact (1-5) × Probability (1-5) for each test. Returns KEEP/REVIEW/REMOVE decisions based on thresholds (≥15 KEEP, 10-14 REVIEW, <10 REMOVE).