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编程开发 AI 技能

发现 编程开发 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: 编程开发

显示第 51,793–51,816 个,共 81,978 个

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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.

GitHub

reasoningbank-intelligence

bjpl

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cogn...

GitHub

skill-builder

bjpl

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill...

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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