GitHub
user-stories-setup
Create a structured format for documenting feature requirements as user stories. JSON files with testable acceptance criteria that AI agents can verify and track.
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GitHub
resend-setup
Configure Resend for transactional emails like password resets and email verification.
GitHub
agent-setup
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
GitHub
sentry-setup
Configure Sentry for error tracking, performance monitoring, and log aggregation. Integrates with Pino to forward logs to Sentry automatically.
GitHub
vercel-analytics-setup
Add privacy-focused web analytics with Vercel Web Analytics. Track page views, visitors, and custom events with zero configuration.
GitHub
stripe-subscriptions
Complete subscription billing system with Stripe integration, feature flags for plan gating, webhook handling, and billing portal.
GitHub
feature-flags-setup
Implement feature flags using the Vercel Flags SDK with server-side evaluation, environment-based toggles, and Vercel Toolbar integration.
GitHub
observability-monitoring
Complete observability stack with structured logging, error tracking, and web analytics.
GitHub
better-auth-emails
Add email verification, password reset, and account management emails to Better Auth using Resend.
GitHub
stripe-sync
Complete subscription system with Stripe, Vercel Flags for plan configuration, webhook handling for syncing subscription state to Postgres, usage tracking, and billing portal integration.
GitHub
ai-agent-workflow
Build resumable multi-agent workflows with durable execution, tool loops, and automatic stream recovery on client reconnection.
GitHub
resumable-ai-streams
Add automatic stream recovery to AI chat with WorkflowChatTransport, start/resume API endpoints, and the useResumableChat hook.
GitHub
workflow-setup
Install and configure the Workflow Development Kit for resumable, durable AI agent workflows with step-level persistence, stream resumption, and agent orchestration.
GitHub
ralph-setup
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
GitHub
using-analytics
Track custom events and conversions with Vercel Web Analytics. Covers common events, form tracking, and development testing.
GitHub
using-workflows
Create and run durable workflows with steps, streaming, and agent execution. Covers starting, resuming, and persisting workflow results.
GitHub
authentication
Complete authentication system with Better Auth, email verification, password reset, protected routes, and account management.
GitHub
ai-chat
Build a complete AI chat application with database persistence, chat list management, and automatic title generation.
GitHub
add-agent-property
Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four...
GitHub
intent-build-now
Start implementation from Intent. First validates Intent completeness, then launches idd-task-execution-master agent to plan and execute TDD-based development phases. Use when you have an Intent ready and want...
GitHub
vitest
Specialist in Vitest, a blazing fast unit test framework powered by Vite. Focuses on Jest compatibility, in-source testing, and native ESM support.
GitHub
playwright-tests
End-to-end browser testing with Playwright. Test user interactions, form validation, navigation, and visual feedback with full browser automation.
GitHub
ralph-loop
Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.
GitHub
using-tests
Testing strategy and workflow. Tests run in parallel with isolated data per suite. Prioritize Playwright for UI, integration tests for APIs, unit tests for logic.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.