Total 37,222 skills
Showing 12 of 37222 skills
HTML structure, data attributes, and commenting guidelines for Shopify themes. Use when structuring HTML markup and adding comments to Shopify theme code.
React/Next.js 앱의 성능을 분석하고 최적화하는 스킬. 번들 사이즈, 렌더링 최적화, 코드 분할, 이미지 최적화, SSR/SSG 전략 등. "성능", "performance", "최적화", "느려", "번들 사이즈", "렌더링" 등의 요청 시 사용.
Identifies architectural components in codebases and calculates size metrics for decomposition planning. Use when analyzing codebase structure, planning monolithic decomposition, identifying oversized components, calculating component statistics, or when the user asks about component analysis, codebase sizing, or architectural decomposition.
Shopify theme section structure, file organization, and schema requirements. Use when creating or modifying Shopify theme sections.
AI video pipeline validator for Veo 3 feasibility, 8-second scene chunking, and shot continuity. USE WHEN: Validating screenplays for AI video generation, chunking scenes into 8-second segments, generating continuation prompts, scoring feasibility risk, or adding editing metadata. PIPELINE POSITION: screenwriter → **production-validator** → imagine/arch-v INPUT: XML from screenwriter skill (scene tags with duration, action, key_visuals) OUTPUT: Enhanced XML with validation, chunks, continuity tags, and Veo 3 prompts KEY FUNCTIONS: - Veo 3 feasibility validation with risk scoring (LOW/MEDIUM/HIGH/CRITICAL) - 8-second scene chunking with continuation prompts - Shot continuity tagging for editors - Technical optimization for AI-friendly alternatives
CCXT cryptocurrency exchange library for Python developers. Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors in Python. Use when working with crypto exchanges in Python projects, trading bots, data analysis, or portfolio management. Supports both sync and async (asyncio) usage.
Design MCP prompts to expose reusable prompt templates. Use when creating parameterized prompts in xmcp.
Build and run evaluators for AI/LLM applications using Phoenix.
Deep knowledge for creating and modifying Handlebars templates (.hbs files). Trigger: When user needs to create/modify .hbs templates, add helpers, work with template syntax, or understand Handlebars patterns.
Configure HUD display options (layout, presets, display elements)
Thorough codebase search
Amazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.