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60 results for "ab test setup"

ab-test-setup

ab-test-setup

42Kagent-workflows

当用户想要规划、设计或实施A/B测试或实验,或建立增长实验项目时使用。当用户提到“A/B测试”、“分流测试”、“实验”、“测试这个改动”、“变体文案”、“多变量测试”、“假设”、“我应该测试这个吗”、“哪个版本更好”、“测试两个版本”、“统计显著性”、“这个测试应该运行多久”、“增长实验”、“实验速度”、“实验积压”、“ICE评分”、“实验项目”或“实验手册”时也适用。当有人比较两种方法并希望衡量哪种表现更好,或者他们想要建立系统化的实验实践时使用。如需跟踪实施,请参见analytics-tracking。如需页面级转化优化,请参见page-cro。

coreyhaines31 avatarcoreyhaines31
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x402

x402

115Kbackend-api

Set up Browser Use Cloud payments with x402 — pay per request from a crypto wallet (USDC on Base mainnet), no signup or API key. Two setups it works out up front — "just use it" (set up a wallet so you or Claude Code can run cloud browser tasks paid from the wallet — Claude writes and runs throwaway scripts, nothing touches your codebase) or "build it in" (install the SDK and write the key + code into your project). Walks through wallet setup, funding, .env, and a ~$1 test run. Use when the user asks about x402, pay-per-use, USDC payments, or wants Browser Use Cloud without an API key. For the free-tier signup (reverse-CAPTCHA → API key), use `browser-use cloud signup` or the `cloud` skill instead.

browser-use avatarbrowser-use
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vitest

vitest

108Ktesting-qa

Vitest API 与配置参考指南(兼容 Jest)—— 涵盖 vi.* Mock 模拟、Spies 侦听器、伪造定时器(Fake Timers)、代码覆盖率配置、Fixtures 测试固件、快照测试以及测试用例筛选等内容。适用于 Monorepo 中任意模块的 Vitest API 和配置相关疑问;若涉及 Studio 专属的测试策略与组件测试搭建,请先参阅 studio-testing 和 studio-mock-api-tests。

supabase avatarsupabase
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ci-cd-and-automation

ci-cd-and-automation

78Ktesting-qa

自动化CI/CD流水线设置。在设置或修改构建和部署流水线时使用。在需要自动化质量门禁、配置CI中的测试运行器或建立部署策略时使用。

addyosmani avataraddyosmani
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attribution

attribution

43Kresearch-knowledge

当用户需要找出究竟是哪些营销活动真正带动了转化和收入、选择或解读归因模型、或者调和不同工具之间互相冲突的数据时使用。当用户提到以下词汇或需求时也可调用:“归因 (attribution)”、“归因模型 (attribution model)”、“首触 vs 尾触 (first-touch vs last-touch)”、“多触点归因 (multi-touch)”、“哪个渠道带进来的收入更多”、“我的真实 CAC 是多少”、“后台数据对不上”、“Google/Meta 显示 X,但 GA 却显示 Y”、“媒体混合模型 (media mix model)”、“MMM”、“增量分析 (incrementality)”、“地理位置提升测试 (geo lift)”、“对照组测试 (holdout test)”、“你是从哪里听说我们的 (how did you hear about us)”、“自报归因 (self-reported attribution)”、“暗社交 (dark social)”;或者想要自行埋点实现归因——“把我的预约/订单绑定回溯到来源”、“SavvyCal/Calendly 归因”、“缩小用户身份辨识缝隙 (close the identify gap)”、“追踪第三方域名的转化”、“第一方/自建归因 (first-party / self-hosted attribution)”。关于事件埋点设置和 UTM,参见 analytics。关于广告平台 Pixel/CAPI,参见 ads。关于 Pipeline 和 CRM 收入报表,参见 revops。关于 AI 搜索归因的盲区,参见 ai-seo。

coreyhaines31 avatarcoreyhaines31
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analytics-tracking

analytics-tracking

42Kagent-workflows

当用户想要设置、改进或审核分析跟踪和测量时使用。也适用于用户提到“设置跟踪”、“GA4”、“Google Analytics”、“转化跟踪”、“事件跟踪”、“UTM参数”、“标签管理器”、“GTM”、“分析实施”、“跟踪计划”、“如何衡量这个”、“跟踪转化”、“归因”、“Mixpanel”、“Segment”、“我的事件是否触发”或“分析不工作”时。每当有人询问如何知道某件事是否有效或想要衡量营销结果时使用。对于A/B测试测量,请参见ab-test-setup。

coreyhaines31 avatarcoreyhaines31
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python-pypi-package-builder

python-pypi-package-builder

39Ktesting-qa

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.

github avatargithub
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deepeval

deepeval

18Kresearch-knowledge

DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; send results to Confident AI; monitor production; run online evals; inspect traces; or iterate on prompts, tools, retrieval, or agent behavior from eval failures. AI agents are the primary use case. Covers Python SDK, pytest eval suites, CLI generation, traced evals, Confident AI reporting, and agent-driven improvement loops. DO NOT TRIGGER for unrelated generic pytest, non-AI test setup, or non-DeepEval observability work unless the user asks to compare or migrate to DeepEval; for instrumenting an app with DeepEval tracing, @observe, or framework integrations (use the `deepeval-tracing` skill); or for raw OpenTelemetry / OTLP export without the deepeval package (use the `deepeval-otel` skill).

confident-ai avatarconfident-ai
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asc-signing-setup

asc-signing-setup

948security

使用 asc CLI 配置 Bundle ID、应用能力(Capabilities)、签名证书、描述文件(Provisioning Profile)以及加密签名同步。适用于新应用接入、签名资产轮换或团队共享签名文件等场景。

rorkai avatarrorkai
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asc-signing-setup

asc-signing-setup

940security

Set up bundle IDs, capabilities, signing certificates, provisioning profiles, and encrypted signing sync with the asc cli. Use when onboarding a new app, rotating signing assets, or sharing them across a team.

rudrankriyam avatarrudrankriyam
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playwright-best-practices

playwright-best-practices

316testing-qa

在编写Playwright测试、修复不稳定测试、调试失败、实现页面对象模型、配置CI/CD、优化性能、模拟API、处理身份验证或OAuth、测试可访问性(axe-core)、文件上传/下载、日期/时间模拟、WebSocket、地理位置、权限、多标签页/弹出窗口流程、移动端/响应式布局、触摸手势、GraphQL、错误处理、离线模式、多用户协作、第三方服务(支付、邮件验证)、控制台错误监控、全局设置/拆卸、测试注解(skip、fixme、slow)、测试标签(@smoke、@fast、@critical,使用--grep过滤)、项目依赖、安全测试(XSS、CSRF、认证)、性能预算(Web Vitals、Lighthouse)、iframe、组件测试、Canvas/WebGL、Service Worker/PWA、测试覆盖率、国际化/本地化、Electron应用或浏览器扩展测试时使用。涵盖端到端、组件、API、视觉、可访问性、安全、Electron和扩展测试。

currents-dev avatarcurrents-dev
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cx-observability-setup

cx-observability-setup

115mcp-integrations

Use this skill when the user asks to "set up monitoring", "configure observability", "onboard new service", "create saved view", "set up notifications", "configure webhook", "set up Slack integration", "outgoing webhook", "automation action", "webhook for alerts", "create view", "saved view", "view folder", "organize dashboards", "install integration", "configure extension", "contextual data", "connect external service", "create notification connector", "set up email alerts", "configure PagerDuty", "notification routing", "deploy extension", "test webhook", "notification preset", "test notification", "webhook actions", or wants to set up, configure, or manage the observability stack for a service or team.

coralogix avatarcoralogix
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miniprogram-development

miniprogram-development

70testing-qa

微信小程序开发技能,用于构建、调试、预览、测试、发布和优化小程序项目。当用户要求创建、开发、修改、调试、预览、测试、部署、发布、上线、审核或优化微信小程序、小程序页面、组件、`tabBar`、路由、导航、图标资源、项目结构、项目配置、`project.config.json`、`appid` 设置、设备预览、真机验证、微信开发者工具工作流、`miniprogram-ci` 预览/上传流程或小程序发布流程时,应使用此技能。当用户在小程序项目中明确提到 CloudBase、`wx.cloud`、腾讯云开发或云开发时,也应使用此技能。

tencentcloudbase avatartencentcloudbase
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multi-account-isolation

multi-account-isolation

5devops-cloud

Verify that browser profiles are actually isolated from one another instead of assuming it - confirm each profile's timezone agrees with its own exit IP, that WebRTC exposes only the proxy, that canvas and WebGL hashes stay identical across relaunches of one profile, and that no two profiles share a persona, a cookie jar, or an address. Use when several of your own accounts or test identities run from one machine and the setup needs checking, when a profile tested clean but something still looks off, when choosing which detection suites to run (CreepJS, whoer, browserleaks WebRTC, pixelscan, liarjs), when auditing what a vendor runtime does with API and proxy credentials, or when asking which layers browser isolation cannot cover at all. Also for 'profile isolation check', 'fingerprint consistency test', 'timezone mismatch', 'WebRTC leak', 'canvas hash unstable', 'account association', '防关联', '多账号', '隔离自检'. The SDK is anti-detect-browser; MCP control is browser-mcp-agent.

antibrow avatarantibrow
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setup

setup

196backend-api

Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.

marketcalls avatarmarketcalls
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airunway-aks-setup

airunway-aks-setup

1.2Kdevops-cloud

在 AKS 上设置 AI Runway——从裸集群到运行模型。涵盖集群验证、控制器安装、GPU 评估、提供商设置和首次部署。触发词:"setup AI Runway"、"onboard AKS cluster"、"install AI Runway"、"airunway setup"、"deploy model to AKS"、"GPU inference on AKS"、"KAITO setup on AKS"、"run LLM on AKS"、"vLLM on AKS"、"set up model serving on AKS"、"AI Runway controller"。

microsoft avatarmicrosoft
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azure-deployment-preflight

azure-deployment-preflight

36Kdevops-cloud

对 Azure 的 Bicep 部署执行全面的预检验证,包括模板语法验证、what-if 分析和权限检查。在部署到 Azure 之前使用此技能,以预览更改、识别潜在问题并确保部署成功。当用户提到部署到 Azure、验证 Bicep 文件、检查部署权限、预览基础设施更改、运行 what-if 或准备 azd provision 时激活。

github avatargithub
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ab-testing

ab-testing

35Kdesign-ui

当用户想要规划、设计或实施A/B测试或实验,或建立增长实验项目时使用。当用户提到“A/B测试”、“拆分测试”、“实验”、“测试这个改动”、“变体文案”、“多变量测试”、“假设”、“我应该测试这个吗”、“哪个版本更好”、“测试两个版本”、“统计显著性”、“这个测试应该运行多久”、“增长实验”、“实验速度”、“实验积压”、“ICE评分”、“实验项目”或“实验手册”时也适用。每当有人比较两种方法并希望衡量哪种表现更好,或者他们想要建立系统化的实验实践时使用此技能。对于跟踪实施,请参见analytics。对于页面级转化优化,请参见cro。

coreyhaines31 avatarcoreyhaines31
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amazon-fba-prep

amazon-fba-prep

694testing-qa

Build a product-specific Amazon FBA prep, labeling, packing, and shipment-readiness plan. Use when a seller asks how to prepare units for FBA, choose barcode and labeling steps, plan poly-bagging, bubble wrap, sets, case packs, cartons, dangerous-goods review, supplier or prep-center instructions, or prevent receiving delays. Do not use as a substitute for current Seller Central requirements.

nexscope-ai avatarnexscope-ai
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testing

testing

707testing-qa

Testing strategy for .NET 10 applications. Covers xUnit v3, WebApplicationFactory for integration tests, Testcontainers for real database testing, Verify for snapshot testing, and the AAA pattern. Load this skill when writing tests, setting up test infrastructure, reviewing test coverage, or when the user mentions "test", "xUnit", "WebApplicationFactory", "Testcontainers", "integration test", "unit test", "bUnit", "snapshot test", "Verify", "test coverage", "AAA pattern", "WireMock", or "FakeTimeProvider".

codewithmukesh avatarcodewithmukesh
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setup-arxiv-mcp

setup-arxiv-mcp

1.7Kresearch-knowledge

Guide for setup arXiv paper search MCP server using Docker MCP

neolabhq avatarneolabhq
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springboot-verification

springboot-verification

230Ktesting-qa

Spring Boot 项目的验证循环:构建、静态分析、带覆盖率的测试、安全扫描以及发布或 PR 前的差异审查。

affaan-m avataraffaan-m
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springboot-verification

springboot-verification

239Ktesting-qa

Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.

affaan-m avataraffaan-m
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setup-context7-mcp

setup-context7-mcp

1.7Kresearch-knowledge

Guide for setup Context7 MCP server to load documentation for specific technologies.

neolabhq avatarneolabhq
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