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部署与运维 AI 技能

发现 部署与运维 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 部署与运维

显示第 51,889–51,912 个,共 83,066 个

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GitHub

fullstack-modern

twofoldtech-dakota

Apply when working with modern fullstack patterns including React/Vue, GraphQL, REST APIs, and headless architectures

GitHub

fullstack-classic

twofoldtech-dakota

Apply when working with classic fullstack patterns including jQuery AJAX, form handling, and C# MVC integration

GitHub

frontend-modern

twofoldtech-dakota

Apply when working with modern frontend frameworks including React, Vue, Next.js, and TypeScript

GitHub

backend-csharp

twofoldtech-dakota

Apply when working with C#/.NET backend code including controllers, services, and dependency injection

GitHub

security-auditor

krakend

Performs comprehensive security audits of KrakenD configurations to identify vulnerabilities, authentication gaps, and security best practices violations with Flexible Configuration support

GitHub

feature-explorer

krakend

Discovers KrakenD features, checks edition availability (CE vs EE), and provides implementation examples

GitHub

config-builder

krakend

Creates new KrakenD configurations with best practices, proper structure, and edition-appropriate features

GitHub

runtime-detector

krakend

Detects the optimal way to run KrakenD (native binary vs Docker) and provides correct execution commands

GitHub

config-validator

krakend

Validates KrakenD configurations with specific error fixes, edition compatibility checks, anti-pattern detection, and Flexible Configuration support

GitHub

sample-explaining-code

yellow-seed

Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"

GitHub

pair-programming

bjpl

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...

GitHub

agentdb-vector-search

bjpl

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledg...

GitHub

sparc-methodology

bjpl

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

GitHub

swarm-orchestration

bjpl

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building d...

GitHub

agentdb-advanced-features

bjpl

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems,...

GitHub

verification-quality-assurance

bjpl

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

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。

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