backend-code-review
[ Featured ]backend-code-review is a skill that reviews backend code for quality, security, maintainability, and best practices based on established checklist rules.
A curated Next.js toolkit for full-stack workflows: routing, content pipelines, API integration, testing, release automation, and deployment helpers.
This Next.js page is organized around full-stack workflow execution: routing and rendering decisions, content publishing pipelines, API and service integrations, quality checks, and deployment readiness. It is designed for teams that need faster iteration without sacrificing reliability across frontend and backend boundaries. Some tools may expose MCP-compatible runtime capabilities, but the main story remains skills-first engineering—shipping production features with stronger automation, testing discipline, and operational clarity.
backend-code-review is a skill that reviews backend code for quality, security, maintainability, and best practices based on established checklist rules.
component-refactoring is a skill that simplifies complex React components by reducing complexity and improving code quality
Frontend testing skill for generating Vitest and React Testing Library tests
frontend-code-review is a skill that automates the inspection of frontend code files, such as .tsx, .ts, and .js, using a predefined checklist.
frontend-query-mutation is a guide for implementing Dify frontend query and mutation patterns with TanStack Query and oRPC, focusing on contract management and efficient data handling.
orpc-contract-first is a development approach that keeps contracts as a single source of truth in web/contract, using default query usage and minimal abstractions to preserve TypeScript inference.
flags is a skill for managing feature flags in Next.js internals, enabling developers to efficiently configure and optimize their React applications.
update-docs is a guided workflow for updating Next.js documentation based on code changes, designed for maintainers reviewing PRs.
Write detailed user stories from implementation plans and post to GitHub. Use after planning with zoonk-issue-planning. Acts as a product owner, providing context and acceptance criteria while leaving room for implementation decisions.
prd-v03-moat-definition is a skill that analyzes competitor defensibility and defines a moat strategy during the PRD v0.3 Commercial Model phase.
Autonomous execution loop that processes a Beads epic task-by-task with fresh subagents, two-stage review, and circuit breaker safety. Use after plan-to-epic creates the epic.
Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in
NotificationServiceの使い方、通知タイプ・優先度、APIエンドポイント。新機能実装時の通知発行、通知センター拡張時に使用。
Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies. Use when workin
Generate customizable widget plugins for the prompts.chat feed system
book-translation is a skill for translating book content, specifically The Interactive Book of Prompting, into new languages using MDX content files and JSON translation keys.
Upgrade OpenTelemetry instrumentations across the Sentry JavaScript SDK. Use when bumping OTel instrumentation packages to their latest versions.
Backend budget tracking patterns for AI generation. Awareness-based tracking (not blocking), tool timeouts, per-tool rate limits, token estimates, context window management, truncation strategies, sea