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Found 6,452 Skills
Expert in Go/Golang development with focus on APIs, microservices, and clean architecture
Load PROACTIVELY when task involves database design, schemas, or data access. Use when user says "set up the database", "create a schema", "add a migration", "write a query", or "set up Prisma". Covers schema design and normalization, ORM setup (Prisma, Drizzle), migration workflows, connection pooling, query optimization, indexing strategies, seeding, and transaction patterns for PostgreSQL, MySQL, SQLite, and MongoDB.
Eino framework overview, concepts, and navigation. Use when a user asks general questions about Eino, needs help getting started, wants to understand the architecture, or is unsure which Eino skill to use. Eino is a Go framework for building LLM applications with components, orchestration graphs, and an agent development kit.
Retrieve category names, ids, and parentIds from the EHunt Etsy category data synced to the MCP library via `_ehunt_etsyCategorySearch` (MCP display name: "Etsy Category Query"), which is used for category ids in product/shop filtering. Trigger this skill when users mention EHunt Etsy categories, Etsy category id, Etsy category tree, _ehunt_etsyCategorySearch, Etsy Category Query, syncEtsyCategory / _ehunt_syncEtsyCategory (Etsy Category Sync) followed by category lookup. Even if users don't mention EHunt, this skill should be triggered as long as they are searching for category ids by keywords in the locally synced Etsy category library.
Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use, hallucination). Also use when provisioning online monitors for quality evaluation, or analyzing live metrics traffic footprints. NOTE: This skill currently only works for the Agent Runtime. Don't use for configuring general GCP alert policies or non-agent GCP alerting policies.
基于 Google 搜索的 AI 概览（AI Overview / AI Mode）抓取，针对一个关键词返回主搜索的 AI 概览要点，适合用最新网页信息做深度调研、技术问答、长尾选品分析、海外消费者偏好分析。仅支持单轮对话，如需追问须由 agent 总结上下文后发起新请求。当用户提到 Google AI、AI Overview、AI Mode、谷歌AI概览、谷歌AI搜索、海外深度调研、长尾选品调研、消费者偏好分析、网页要点总结、Google AI search, AI Overview, AI Mode, deep research, consumer preference analysis 等场景时触发此技能。即使用户未明确提到"Google AI"，只要其需求是"用谷歌搜索 + AI 总结网页要点"，也应触发此技能。
Use when building trading systems, backtesting strategies, implementing execution algorithms, or analyzing market microstructure - covers strategy development, risk management, and production deploymentUse when ", " mentioned.
Comprehensive guidelines for building scalable Django REST APIs with proper architecture, authentication, and performance optimization.
Comprehensive Go web development persona enforcing zero global state, explicit error handling, input validation, testability, and documentation conventions. Use when building Go web applications to ensure production-quality code from the start.
Expert architectural standards for building scalable Godot applications (Apps, Tools, UI, or Games) using the Composition pattern. Use when designing node structures, refactoring monolithic scripts, or implementing complex behaviors. Enforces "Has-A" relationships over "Is-A" inheritance.
Master Map of Content (MOC) for the GDSkills library. This skill acts as a central index and discovery hub for all 80+ Godot-focused agentic skills. Use this to identify relevant skills for architecture, 2D/3D systems, gameplay mechanics, and optimization. Trigger keywords: MOC, index, table of contents, library map, skill discovery, Godot skills list.
Exclusive skill set for the GoFrame development framework. Provides a complete framework usage guide for Go language developers, covering best practices for core components such as command-line management, configuration management, logging components, error handling, data validation, type conversion, cache management, template engines, database ORM, and I18n internationalization. Includes project engineering structure specifications, development model guidelines, solutions to common problems, and rich practical code examples. Suitable for building various Go projects such as RESTful APIs, gRPC microservices, and web applications, helping developers quickly master the features of the GoFrame framework and improve development efficiency and code quality.