開發

Expert DevOps automation consultant for building production-grade CI/CD deployment pipelines using Vercel, GitHub Actions, and Railway. Implements build/test/preview/production workflows, automated rollbacks, canary deployments, blue-green strategies, environment promotion, secrets management, health checks, smoke testing, and live monitoring. Use when deploying web applications, setting up CI/CD pipelines, configuring automated deployments, implementing deployment strategies, managing production releases, or troubleshooting deployment issues.

Use OpenAI Codex CLI as a discussion partner to verify ideas, evaluate plans, and improve quality. Automatically triggered during implementation planning, troubleshooting, debugging, or when seeking a second opinion on technical decisions.

Analyze the impact of code changes by mapping call graphs and identifying all direct and indirect dependencies. Use when users ask about blast radius analysis, code change impact, who calls a function, downstream dependencies, or risk assessment before refactoring. Traces call chains, identifies high-risk modules, and provides ranked impact analysis.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Integrate @inkcre/web-design with vue-i18n for internationalization.

Hypera infrastructure URLs and endpoints reference. Use when user asks about URLs, domains, ingress endpoints, cluster API servers, application URLs, Helm repositories, Git repositories, or needs to check connectivity to services. Provides quick lookup of all external URLs across all environments (hub, dev, prd) and clusters (cafehyna, loyalty, painelclientes, sonora).

Complete development guide for the NYCRAVES codebase. Use this skill when creating any new code - components, pages, features, data functions, or utilities. Ensures visual consistency (brutalist dark theme), code consistency (established patterns), and proper Next.js 16 architecture (caching, Server Components, loading states). Triggers on (1) Creating new components, (2) Building new pages, (3) Adding features, (4) Writing data functions, (5) Questions about patterns or conventions.

Go performance optimizations including memory allocation reduction, efficient string building, I/O operations, and resource pooling. Use when optimizing Go code for speed or memory efficiency.

TypeScriptバックエンド開発 - 型安全、Node.js/Deno/Bun、フレームワーク活用

Validate afi-config codex and governance configuration for structural consistency, broken references, and schema alignment, without changing protocol semantics. This skill performs read-only validation and produces a human-readable report of issues found, without attempting automatic fixes.

TypeScript/React コーディング規約、インポート順序、Server/Client Components使い分け、コミット規約。コード実装、レビュー、リファクタリング時に使用。

Builds real-time multiplayer applications with PartyKit on Cloudflare's edge. Use when creating collaborative apps, games, AI agents, or stateful WebSocket servers with global low-latency deployment.

Production-ready security analysis with CMMC Level 2 compliance. USE WHEN user needs vulnerability scanning, STRIDE threat modeling, security code review, CMMC compliance mapping, or multi-agent security analysis. Detects 50+ vulnerability patterns with remediation guidance.

Creates git commits with conventional commit messages. Use when the user says "commit", "commit changes", "create a commit", "save my changes", or asks to commit code.

Parallel internal codebase search. Launches 2-4 search agents, consolidates findings to tmp/scout-results.md, returns summary. Use for 3+ files or unknown areas.

React 18 + TypeScript patterns for FarmGate frontend. Use when building components, hooks, forms, or state management for the commodity survey UI.

Write clear and concise commit messages that accurately describe the changes made in the codebase

Formats citations and validates source attribution for answers generated from multiple document sources (ChromaDB and web search). Use when adding source references to generated answers, validating citation accuracy, or ensuring quality of source attribution across different source types.

Adapt learning content for cultural contexts, replacing culturally-specific examples with local equivalents, identifying cultural sensitivities, and recommending culturally appropriate teaching methods. Use when localizing content for different cultures or regions. Activates on "cultural adaptation", "localization", "cultural context", or "regional customization".

Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. Applies probabilistic intent mapping, first principles decomposition, and Socratic clarification to transform vague requests into well-understood goals.