databuddy-node
Use the Databuddy Node.js SDK for server-side tracking with batching, middleware, and deduplication. Use when implementing analytics in Node.js servers, API routes, serverless functions, or when you need server...
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Use the Databuddy Node.js SDK for server-side tracking with batching, middleware, and deduplication. Use when implementing analytics in Node.js servers, API routes, serverless functions, or when you need server...
.NET static analysis and code quality tools. Use when configuring analyzers, fixing warnings, or enforcing code standards.
Analyze code quality, detect code smells, identify bugs, and provide improvement recommendations. Use when reviewing code, checking quality, analyzing complexity, or when user mentions code review, refactoring...
Perform in-depth codebase exploration at the start of a coding session. Builds comprehensive understanding of project structure, architecture, key components, and patterns.
Integration guide for using detective skills across plugins. Maps agent roles from frontend, bun, and other plugins to appropriate detective skills. Developer agents should use developer-detective, architect ag...
Mobile game performance optimizer for canvas-based games. Analyzes game files for performance bottlenecks and applies cutting-edge 2024-2025 optimization patterns. - MANDATORY TRIGGERS: optimize, performance, F...
Inline orchestration workflow for automated bug detection and fixing with Beads integration. Provides step-by-step phases for bug-hunter detection, priority-based fixing with bug-fixer, and verification cycles.
Inline orchestration workflow for code review with Beads integration. Provides comprehensive analysis of issues (bugs) AND improvements (recommendations), issue creation, priority-based fixing, and verification...
Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and...
Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verifica...
MEMORY FIRST - Query memory BEFORE scanning any codebase. Use when encountering ANY problem, error, or task. Call "recall" FIRST, then scan codebase only if nothing found. Triggers: "check memory", "recall", "h...
Analyze runtime behavior, process boundaries, and IPC mechanisms to detect protocol drift risks and process lifecycle issues.
Use Databuddy feature flags for React, Node.js, and Vue applications. Use when implementing feature flags, A/B testing, gradual rollouts, or user-targeted feature toggles.
Performance optimization, accessibility, and security best practices for React apps. Covers code-splitting, React Compiler patterns, asset optimization, a11y testing, and security hardening. Use when optimizing...
React patterns, anti-patterns, and performance optimization. Use when writing React components, reviewing React code, or debugging React issues.
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Expert Go developer for high-performance systems, concurrent programming, and cloud-native microservices. Invoke for Go 1.21+ development, goroutines, generics, gRPC. Keywords: Go, Golang, concurrency, microser...
Retrieve Unity Console logs via uloop CLI. Use when you need to: (1) Check for errors or warnings after operations, (2) Debug runtime issues in Unity Editor, (3) Investigate unexpected behavior or exceptions.
Use the core Databuddy SDK for browser-side tracking utilities, event tracking, and global tracker access. Use when implementing analytics in vanilla JavaScript or when you need direct access to the core tracki...
Perform automated visual design inspection using Playwright MCP. Captures screenshots at mobile (375px), tablet (768px), and desktop (1280px) viewports, then analyzes them for design consistency, layout shifts,...
Log parsing techniques and analysis methodologies for infrastructure troubleshooting. Use when retrieving, parsing, or analyzing logs from any platform.
This skill should be used when the user asks about "R2", "D1", "KV", "Durable Objects", "Queues", "Vectorize", "Hyperdrive", "Workers Analytics", "Email Routing", "Browser Rendering", or discusses Cloudflare pl...
Deep knowledge of GitHub Actions, Railway, Supabase, and Postgres platforms. Use when troubleshooting, configuring, or optimizing any of these platforms.
Opinionated constraints for building better interfaces with agents. Combines UI Skills and Vercel Web Interface Guidelines. Use when building UI components, reviewing frontend code, or implementing interactions...
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。