This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
The agent builds production-grade Stripe integrations for SaaS billing: subscription lifecycle management with trials and proration, idempotent webhook handlers, usage-based metered billing, Checkout sessions, Customer Portal, dunning recovery, and SCA/3D Secure compliance. Provides patterns for Next.js, Express, and Django with emphasis on real-world edge cases.
Before building the integration, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Load the reference that matches the task — keep this file lean and pull detail on demand:
| Skill | Use When |
|---|---|
| ab-test-setup | Testing pricing page variants and checkout flows |
| analytics-tracking | Tracking checkout and subscription conversion events |
| email-template-builder | Building dunning and billing notification emails |
| api-design-reviewer | Reviewing your billing API endpoints |
This skill covers:
This skill does NOT cover:
ra-qm-team/ compliance skills for regulatory guidanceskill-security-auditor for security review patterns| Skill | Integration | Data Flow |
|---|---|---|
| api-design-reviewer | Review billing API endpoints for REST conventions, error handling, and rate limiting | Billing route definitions --> API review checklist --> validated endpoint contracts |
| database-schema-designer | Design and validate the Prisma schema for Stripe customer, subscription, and event tracking tables | Schema requirements --> normalized table design --> migration files |
| observability-designer | Instrument webhook handlers and checkout flows with structured logging, metrics, and alerting | Webhook events --> OpenTelemetry traces --> dashboard alerts on failure spikes |
| env-secrets-manager | Manage Stripe API keys, webhook secrets, and price IDs across dev/staging/production | Secret definitions --> encrypted vault storage --> runtime injection via env vars |
| ci-cd-pipeline-builder | Automate Stripe CLI webhook testing in CI and validate integration before deployment | Test triggers --> stripe listen in CI --> webhook handler assertions |
| runbook-generator | Create operational runbooks for billing incidents: failed webhooks, mass payment failures, subscription reconciliation | Incident scenarios --> step-by-step remediation --> escalation paths |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
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。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
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。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
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。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
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。