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概要と使いどころ
Test AI agent systems for tool abuse, unauthorized actions, privilege escalation through tool chaining, and safety bypass via agentic workflows. Use this skill when assessing autonomous AI agents that use tool-calling (function calling, plugins, actions) to interact with external systems. Covers multi-step attack chains, implicit trust exploitation, and capability boundary testing for AI agents.
日本語の概要は準備中です。原文の説明を表示しています。
Design effective emails with inbox-friendly layouts, accessible HTML, dark mode, and testing checklists.
日本語の概要は準備中です。原文の説明を表示しています。
Test frontend code: unit, component, E2E, visual regression, and accessibility tests with a sane pyramid. Use for reliable UI quality.
日本語の概要は準備中です。原文の説明を表示しています。
Build HTML emails that render everywhere: table layouts, MJML, dark mode, testing, and deliverability basics. Use for transactional and marketing email.
日本語の概要は準備中です。原文の説明を表示しています。
.NET guidance — ASP.NET Core APIs, Entity Framework Core, DI, configuration, testing, and container deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Corrosion mechanisms, electrochemical testing, and mitigation — from Pourbaix diagrams to coatings and cathodic protection.
日本語の概要は準備中です。原文の説明を表示しています。
Increase conversion rates — CRO audits, A/B testing, landing page optimization, and experimentation programs.
日本語の概要は準備中です。原文の説明を表示しています。
Chaos engineering — designing safe failure-injection experiments to build resilience — use when proactively testing system robustness.
日本語の概要は準備中です。原文の説明を表示しています。
Battery science fundamentals — cell components, electrochemistry metrics, testing protocols, and degradation analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Statistical methods for biology and medicine — study design, hypothesis testing, regression, and survival analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Design backup strategies that survive real disasters: 3-2-1 rule, versioning, testing restores, and covering all devices. Use when setting up backups or auditing whether current backups actually work.
日本語の概要は準備中です。原文の説明を表示しています。
Integrate third-party APIs reliably: auth, pagination, retries, webhooks, rate limits, and contract testing. Use when connecting to external REST/GraphQL APIs or building resilient API clients.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate AI agents rigorously — task benchmarks, success criteria, failure taxonomy, cost/latency tracking, and regression testing. Use when you need to know whether an agent actually works, not whether it demos well.
日本語の概要は準備中です。原文の説明を表示しています。
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why, AI policy for the marketing team, AI governance, AI acceptable use policy, which AI tools are we allowed to use, can I paste customer data into ChatGPT, shadow AI, AI use register, human review of AI output, when can we stop reviewing every AI draft, can the agent send on its own, the AI made a mistake now what, pull back AI autonomy, AI evals, our AI vendor changed the model, AI output went out wrong, prompt injection, can our AI read prospect replies safely, lethal trifecta, the AI leaked internal notes, turn off auto-generated ad assets, auto-applied recommendations, AI literacy training, EU AI Act Article 4, duplicate records in the CRM, dedupe before import, which value wins in a merge, CRM cleanup.
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous human-like browser control and professional QA/QC testing. Powered by agent-browser (Rust native CDP, zero Playwright) with ISTQB test matrix generation, automated testcase execution, console/network error tracing, and defect reporting.
日本語の概要は準備中です。原文の説明を表示しています。
This skill provides expert-level guidance for VS Code extension development. Use when implementing new extension features, debugging extension code, designing WebView UIs, implementing Language Server Protocol features, or optimizing extension performance. Covers activation events, contribution points, VS Code API patterns, security best practices, testing strategies, and publishing workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-agent management workflow — task delegation, progress monitoring, quality verification with regression testing, feedback delivery, and cross-review orchestration. Use this skill when coordinating multiple agents on a shared task, monitoring delegated work, ensuring quality across agent outputs, or implementing a multi-phase plan (3+ phases or 10+ file changes).
日本語の概要は準備中です。原文の説明を表示しています。
Run the E2E QA test suite against the live application using Playwright MCP and nREPL. Use when testing the app end-to-end.
日本語の概要は準備中です。原文の説明を表示しています。
Orchestrate the QA team through a full testing cycle. Coordinates qa-lead (strategy + test plan) and qa-tester (test case writing + bug reporting) to produce a complete QA package for a sprint or feature. Covers: test plan generation, test case writing, smoke check gate, manual QA execution, and sign-off report.
日本語の概要は準備中です。原文の説明を表示しています。
Unity Test Framework patterns for EditMode and PlayMode tests including async testing, mocking, and test organization.
日本語の概要は準備中です。原文の説明を表示しています。
Unity state and behavior system architecture. FSM, Hierarchical FSM, Behavior Trees, stack-based state machines, Animator-vs-code decisions, state machine testing. DECISION format: WHEN/DECISION/SCAFFOLD/GOTCHA. Based on Unity 6.3 LTS.
日本語の概要は準備中です。原文の説明を表示しています。
用于规划或审查前端测试策略，按风险选择正确测试层级，将覆盖映射到静态检查、单元测试、组件测试、集成测试、E2E、Storybook/视觉回归、a11y、安全、性能或 CI gates。不要用于编写单个组件/E2E 测试或只是运行现有验证命令；中文触发词包括 测试策略、测试分层、测试计划、覆盖矩阵。
日本語の概要は準備中です。原文の説明を表示しています。
用于创建、维护、调试或审查真实浏览器端到端测试，包括 Playwright/Cypress、Page Object、CI 产物、trace、不稳定用例、跨页面视觉回归以及登录、支付、权限或 CRUD 等关键用户旅程。若是测试层规划或靠近 UI 组件的测试，先选择对应测试工作流；中文触发词包括 E2E、端到端测试、Playwright、Cypress。
日本語の概要は準備中です。原文の説明を表示しています。
Use when setting up or reviewing Storybook component documentation, design-system presentation, isolated component state previews, stories, addons, decorators, MDX docs, component-state interaction checks, visual baselines, or Chromatic. For real-browser cross-page journeys or broader coverage planning, choose the matching testing workflow first; Chinese triggers include Storybook, component documentation, Design System, visual regression.
日本語の概要は準備中です。原文の説明を表示しています。