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nextjs
Next.js 16 patterns for App Router, Server/Client Components, proxy.ts authentication, data fetching, caching, and React Server Components. Use when building Next.js applications with modern patterns.
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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。
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neon-postgres
Neon PostgreSQL serverless database - connection pooling, branching, serverless driver, and optimization. Use when deploying to Neon or building serverless applications.
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notification-persistence
Stores notifications in localStorage with schema (id, taskId, message, timestamp, read, priority). Provides retrieval methods (getUnread, getAll, markAsRead) and maintains last 50 notifications with automatic c...
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task-search
Provides fast, case-insensitive text search across task titles, descriptions, and tags with debounced input, relevance ranking, and highlighted matching text. Uses AND logic for multi-token queries and limits r...
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task-filter
Provides comprehensive task filtering across three dimensions (Status, Priority, Due Date) with cumulative AND logic, localStorage persistence, and removable filter chips UI. Supports nine total filter options...
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okyline
Expert assistant for the Okyline schema language. Okyline enables JSON data validation by example, where constraints are expressed inline on field names. Use when creating, editing, or converting JSON Schema,...
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linear-workflow
Linear issue-tracked development workflow. Auto-activates when starting work on issues, creating branches, changing status, writing comments, or creating PRs.
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semantic-searchpause
Use when you want to pause the semantic search file watcher to stop automatic reindexing
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semantic-searchcancel
Use when you want to stop a running indexing job
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semantic-searchclear
Use when you want to wipe all indexed data and start fresh
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semantic-searchreindex
Use when you want to rebuild or refresh the semantic search index for the codebase
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semantic-searchstatus
Use when you want to check semantic search server status, indexing progress, or watcher state
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semantic-searchresume
Use when you want to resume the semantic search file watcher after pausing it
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semantic-searchsearch
Use when searching the codebase with natural language queries like "authentication logic" or "database connection"
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performance-optimization
Full-stack performance analysis, optimization patterns, monitoring strategies, React 19 concurrent features, and bundle analysis for 2025+ development
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llm-caching-patterns
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost tracking with hierarchical trace ro...
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langfuse-observability
LLM observability with self-hosted Langfuse 3.x - tracing, evaluation, monitoring, prompt management, and cost tracking
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streaming-api-patterns
Implement real-time data streaming with Server-Sent Events (SSE), WebSockets, and ReadableStream APIs. Master backpressure handling, reconnection strategies, and LLM streaming for 2025+ real-time applications.
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testing-strategy-builder
Use this skill when creating comprehensive testing strategies for applications. Provides test planning templates, coverage targets, test case structures, and guidance for unit, integration, E2E, and performance...
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observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
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browser-content-capture
Capture content from JavaScript-rendered pages, login-protected sites, and multi-page documentation using Playwright MCP tools or Claude Chrome extension. Use when WebFetch fails on SPAs, dynamic content, or au...
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golden-dataset-management
Backup, restore, and validate golden datasets for AI/ML systems - ensuring test data integrity and preventing catastrophic data loss
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type-safety-validation
Achieve end-to-end type safety with Zod runtime validation, tRPC type-safe APIs, Prisma ORM, exhaustive type checking, and TypeScript 5.7+ features. Build fully type-safe applications from database to UI for 20...
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ascii-visualizer
Create beautiful ASCII art visualizations for plans, architectures, workflows, and data
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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。