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测试与安全 AI 技能

发现 测试与安全 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: 测试与安全

显示第 38,593–38,616 个,共 81,973 个

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GitHub

solving-problems

doanchienthangdev

AI agent applies a 5-phase systematic framework for tackling complex problems when conventional approaches fail. Use when stuck, blocked, or troubleshooting issues.

GitHub

building-fastapi-apis

doanchienthangdev

Builds high-performance FastAPI applications with async/await, Pydantic v2, dependency injection, and SQLAlchemy. Use when creating Python REST APIs, async backends, or microservices.

GitHub

developing-with-prisma

doanchienthangdev

The agent implements Prisma ORM for type-safe database access with schema design, migrations, and queries. Use when building database layers, designing relational schemas, implementing type-safe queries, or man...

GitHub

managing-databases

doanchienthangdev

AI agent performs database administration tasks including backup/restore, monitoring, replication, security hardening, and maintenance operations. Use when managing production databases, troubleshooting perform...

GitHub

service-discovery

doanchienthangdev

Service discovery patterns with Consul, Kubernetes DNS, Eureka, health checks, and client-side load balancing.

GitHub

thinking-sequentially

doanchienthangdev

AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions.

GitHub

monorepo-management

doanchienthangdev

Enterprise monorepo patterns with Turborepo and Nx including task orchestration, caching, and CI/CD optimization

GitHub

building-responsive-layouts

doanchienthangdev

Claude builds responsive web layouts with mobile-first CSS, fluid typography, and container queries. Use when creating adaptive UIs that work across all device sizes.

GitHub

mlops

doanchienthangdev

MLOps practices including CI/CD for ML, experiment tracking, model monitoring, pipeline orchestration, and production ML operations.

GitHub

stacked-diffs-workflow

doanchienthangdev

The agent implements stacked diffs (stacked PRs) for breaking large changes into reviewable chunks. Use when working on complex features, managing dependent changes, or optimizing code review flow.

GitHub

implementing-accessibility

doanchienthangdev

Claude implements WCAG 2.1 AA compliant web interfaces with proper ARIA, keyboard navigation, and screen reader support. Use when building accessible components or auditing existing UIs.

GitHub

service-mesh

doanchienthangdev

Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.

GitHub

data-engineering

doanchienthangdev

ML data engineering covering data pipelines, data quality, collection strategies, storage, and versioning for machine learning systems.

GitHub

thinking-in-omega-modes

doanchienthangdev

Applies 7 systematic thinking modes for breakthrough problem-solving and 10x improvements. Use when tackling complex problems, seeking transformative insights, or escaping conventional thinking traps.

GitHub

efficient-ai

doanchienthangdev

Efficient AI techniques including model compression, quantization, pruning, knowledge distillation, and hardware-aware optimization for production systems.

GitHub

ml-systems

doanchienthangdev

Machine Learning Systems - comprehensive knowledge for building production ML systems from data engineering through deployment and operations. Based on Harvard ML Systems course and Designing ML Systems by Chip...

GitHub

python

doanchienthangdev

Python development with type hints, async patterns, testing, and modern best practices

GitHub

writing-plans

doanchienthangdev

AI agent creates structured implementation plans with task breakdown, dependency mapping, risk assessment, and file-level detail. Use when planning features, projects, or complex implementations.

GitHub

processing-media

doanchienthangdev

Processes audio and video with ffmpeg including transcoding, streaming, and batch operations. Use when building video pipelines, converting formats, generating thumbnails, or implementing HLS/DASH streaming.

GitHub

training-data

doanchienthangdev

Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.

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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