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商业与营销 AI 技能

发现 商业与营销 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: 商业与营销

显示第 38,089–38,112 个,共 81,576 个

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GitHub

developing-test-driven

doanchienthangdev

AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.

GitHub

model-development

doanchienthangdev

Model development practices including model selection, training pipelines, hyperparameter tuning, evaluation, and model selection strategies.

GitHub

applying-owasp-security

doanchienthangdev

Claude applies OWASP security best practices to web applications. Use when preventing vulnerabilities, implementing input validation, securing authentication, configuring security headers, or conducting securit...

GitHub

implementing-oauth

doanchienthangdev

Claude implements OAuth 2.0 and OpenID Connect authorization flows. Use when adding social login, integrating OAuth providers, managing tokens, or securing APIs with OAuth.

GitHub

mobile-development

doanchienthangdev

Cross-platform mobile development with React Native and Expo including navigation, state management, and native features

GitHub

feature-flags-and-progressive-delivery

doanchienthangdev

The agent implements feature flag systems for trunk-based development, canary releases, and A/B testing. Use when implementing gradual rollouts, kill switches, or experiment-driven development.

GitHub

contract-testing

doanchienthangdev

Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.

GitHub

workflow-config-system

doanchienthangdev

The agent implements a centralized workflow configuration system for Git workflows, enabling set-once-use-everywhere automation for trunk-based development, gitflow, and github-flow patterns with integrated tes...

GitHub

foundation-models

doanchienthangdev

Understanding Foundation Models - architecture, sampling parameters, structured outputs, post-training. Use when configuring LLM generation, selecting models, or understanding model behavior.

GitHub

postgresql

doanchienthangdev

PostgreSQL database design, queries, optimization, and best practices

GitHub

ml-frameworks

doanchienthangdev

ML framework best practices for PyTorch, TensorFlow, scikit-learn, and modern ML libraries including training patterns and optimization.

GitHub

payment-integration

doanchienthangdev

Enterprise payment processing with Stripe, PayPal, and LemonSqueezy including subscriptions, webhooks, and PCI compliance

GitHub

brainstorming-ideas

doanchienthangdev

AI agent generates diverse solutions through structured divergent thinking and systematic exploration frameworks. Use when exploring options, solving problems creatively, or generating alternatives.

GitHub

avoiding-testing-anti-patterns

doanchienthangdev

AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.

GitHub

building-django-apps

doanchienthangdev

Builds enterprise Django applications with DRF, ORM optimization, async views, and Celery tasks. Use when creating Python web apps, REST APIs, or full-stack Django projects.

GitHub

building-nestjs-apis

doanchienthangdev

Builds enterprise NestJS applications with TypeScript, dependency injection, TypeORM, and microservices patterns. Use when creating scalable Node.js backends, REST/GraphQL APIs, or microservices.

GitHub

orchestrating-with-kubernetes

doanchienthangdev

The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...

GitHub

model-optimization

doanchienthangdev

Model optimization techniques including hyperparameter tuning, architecture search, training optimization, and performance profiling for ML systems.

GitHub

finishing-development-branches

doanchienthangdev

AI agent completes development branches with comprehensive quality gates, clean git history, and thorough PR preparation. Use when wrapping up features, preparing for merge, or finalizing PRs.

GitHub

evaluation-methodology

doanchienthangdev

Methods for evaluating AI model outputs - exact match, semantic similarity, LLM-as-judge, comparative evaluation, ELO ranking. Use when measuring AI quality, building eval pipelines, or comparing models.

GitHub

ai-system-evaluation

doanchienthangdev

End-to-end AI system evaluation - model selection, benchmarks, cost/latency analysis, build vs buy decisions. Use when selecting models, designing eval pipelines, or making architecture decisions.

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...

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