Plan, write and measure ads inside AI assistants and AI search (ChatGPT Ads, Google AI Overviews and AI Mode, Microsoft Copilot). Use when testing ChatGPT ads, answer-adjacent copy, or incrementality for AI placements.
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。
4,169 件 ・ 関連度順
Plan, write and measure ads inside AI assistants and AI search (ChatGPT Ads, Google AI Overviews and AI Mode, Microsoft Copilot). Use when testing ChatGPT ads, answer-adjacent copy, or incrementality for AI placements.
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 and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
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。
Implement Stripe integrations for SaaS billing: subscriptions, checkout, proration, usage- based billing, idempotent webhooks, customer portal, dunning, and SCA. Use when building billing, handling webhooks, or testing with Stripe CLI.
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 ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
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。
Guide red-green-refactor TDD with test generation, coverage-gap analysis, and multi- framework support. Use when writing tests first, analyzing coverage, generating test stubs, or converting tests between Jest, Pytest, JUnit, and Vitest.
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 should be used when the user asks to "plan a red team engagement", "scope a penetration test", "design a security assessment methodology", "create rules of engagement", or "plan an adversary simulation".
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。
Browser-based QA combining Chrome MCP control with Python analysis tools. Use when performing browser QA testing, visual regression tracking, WCAG accessibility auditing, performance profiling, or health-scoring web applications.
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。
Performance profiling for Node.js, Python, and Go: CPU flamegraphs, memory leak detection, bundle analysis, query optimization, and k6 load testing. Use when diagnosing slow endpoints, memory growth, large bundles, or traffic spikes.
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。
STRIDE threat modeling, DREAD risk scoring, secret detection, and secure architecture design. Use when conducting threat models, reviewing code for vulnerabilities, designing defense-in-depth, or scanning for hardcoded secrets.
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。
Generate API test suites from route definitions across frameworks: auth, input validation, contract, k6 load testing, mocking, and OpenAPI-driven generation. Use when adding new APIs, auditing test coverage, or building regression suites.
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。
Applied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction. Use when interpreting an experiment, sizing a study, or vetting a claim.
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。
Landing page and marketing page conversion rate optimization covering value proposition clarity, headline effectiveness, CTA hierarchy, visual flow, social proof placement, objection handling, and structured A/B testing.
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。
Form optimization for lead capture, contact, demo request, application, and checkout forms. Covers field-cost analysis, multi-step form design, validation UX, mobile optimization, and A/B testing frameworks.
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。
Popup and modal optimization for conversion. Covers exit-intent, slide-ins, banners, timing optimization, frequency capping, audience targeting, compliance, and A/B testing frameworks for lead capture, promotions, and announcements.
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。
Headcount and delivery-capacity planning — effective capacity from raw headcount, hire/contract/defer scenarios, and capacity-vs-commitment gap reports. Use when planning a quarter, sizing a hiring ask, or testing whether a roadmap fits.
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。
Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal reproductions and issue drafts, to preparing, testing, and submitting a pull request that follows this repository's conventions. Use when the user says they found a bug, wants a feature, wrote a workaround worth upstreaming, or asks how to contribute, open an issue, or make a PR to retentioneering-tools.
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。
Report-only QA — same browser-based testing as qa but documents bugs with screenshots and repro steps only, no code changes. Health score formula weighted across 8 categories. Outputs to .gstack/qa-reports/.
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。
Headless Chromium CLI for QA testing and site dogfooding. 100-200ms per command after startup. Persistent state with cookies, tabs, sessions. Snapshot system with element refs. Navigate, interact, verify page state, take screenshots, check responsive layouts, test forms, handle dialogs.
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。
Systematic root-cause debugging. Iron Law: no fixes without root cause investigation first. Four phases: Root Cause Investigation, Pattern Analysis (6 known patterns), Hypothesis Testing (3-strike rule), Implementation. Structured debug report output.
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。
Systematically QA test a web application with browser-based bug fixing. Four modes: diff-aware (automatic on feature branches), full (systematic exploration), quick (30-second smoke test), regression (compare against baseline). Atomic bug-fix workflow with regression testing. Health scoring across 8 categories.
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。
Import cookies from your real browser (Comet, Chrome, Arc, Brave, Edge) into the headless browse session for testing authenticated pages. Interactive picker UI or direct domain import. macOS Keychain integration.
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。
Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans across functional, performance, and security testing.
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。
Configures monitoring systems, implements structured logging, creates Prometheus/Grafana dashboards, defines alerting rules, instruments distributed tracing, and performs load testing.
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。
Writes E2E tests with Playwright including test scripts, page objects, test fixtures, reporters, CI integration, API mocking, and visual regression testing.
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。