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。
Generate SaaS boilerplate with auth, database schemas, Stripe billing, multi-tenancy, API routes, and dashboard UI on a Next.js/TypeScript/Tailwind stack. Use when starting a new SaaS product, subscription app, or multi-tenant platform.
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。
Generate a complete, production-ready SaaS application boilerplate including authentication (NextAuth, Clerk, or Supabase Auth), database schemas with multi-tenancy, billing integration (Stripe or Lemon Squeezy), API routes with validation, dashboard UI with shadcn/ui, and deployment configuration. Produces a working application from a product specification in under 30 minutes.
Keywords: SaaS, boilerplate, scaffolding, Next.js, authentication, Stripe, billing, multi-tenancy, subscription, starter template, NextAuth, Drizzle ORM, shadcn/ui
.env.example, schema, and API routes for a Next.js stack.Before scaffolding, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--auth; changes the auth config and middleware generated)--payments; determines the billing + webhook handler)--tenancy; shapes the entire database schema and scoped queries)--db; sets the Drizzle adapter and connection config)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.
| Tool | Purpose | Command |
|---|---|---|
saas_scaffolder.py | Generate a production-ready SaaS project structure (auth, billing, tenancy) | python scripts/saas_scaffolder.py --name my-saas --auth nextauth --db neondb --payments stripe --tenancy workspace |
feature_flag_manager.py | CRUD + evaluate feature flags on a JSON store | python scripts/feature_flag_manager.py evaluate --key dark-mode --environment production --plan pro |
tenant_config_validator.py | Validate multi-tenant config and scan source for missing tenant scoping / isolation issues | python scripts/tenant_config_validator.py --config tenant_config.json --src ./app |
Load the reference that matches the task — keep this file lean and pull detail on demand:
.env.example variables. Read when defining the spec, laying out files, or writing the schema/env config.This skill covers:
This skill does NOT cover:
stripe-integration-expertdatabase-schema-designerci-cd-pipeline-builderapi-design-reviewer| Skill | Integration | Data Flow |
|---|---|---|
stripe-integration-expert | Extends the scaffolded Stripe setup with advanced billing patterns (metered, tiered, usage-based) | Scaffolder outputs base Stripe config and webhook handler; Stripe expert refines pricing models and adds invoice customization |
database-schema-designer | Designs extended schemas beyond the core tenancy tables | Scaffolder provides baseline users/workspaces/members schema; schema designer adds domain-specific entities and optimizes indexes |
api-design-reviewer | Reviews and improves the generated API routes for consistency and standards compliance | Scaffolder generates initial API routes; reviewer audits naming, error handling, and response formats |
ci-cd-pipeline-builder | Creates deployment pipelines for the scaffolded project | Scaffolder outputs the application code; pipeline builder adds GitHub Actions, preview deployments, and production release workflows |
env-secrets-manager | Audits and secures the environment variable configuration | Scaffolder generates .env.example; secrets manager validates no secrets are hardcoded and recommends vault integration |
observability-designer | Adds logging, tracing, and monitoring to the scaffolded application | Scaffolder provides the application structure; observability designer instruments API routes, webhooks, and auth flows |
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。