Total 46,672 skills
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Complete subscription system with Stripe, Vercel Flags for plan configuration, webhook handling for syncing subscription state to Postgres, usage tracking, and billing portal integration.
Set up or verify Husky git hooks to ensure all tests run and coverage stays above 80% (configurable) for Node.js/TypeScript projects. This skill should be used when users want to enforce test coverage through pre-commit hooks, verify existing Husky/test setup, or configure coverage thresholds for Jest, Vitest, or Mocha test runners.
Creates reveal.js slides. Use when the user asks to create slides, a presentation, a deck, or a slideshow. Supports themes, multi-column layouts, callout boxes, code highlighting, animations, speaker notes, and custom styling. Unzip the base zip template, send the index.html and with each change zip the folder.
Create and run durable workflows with steps, streaming, and agent execution. Covers starting, resuming, and persisting workflow results.
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
Systems programming expertise for Tauri desktop application backend development with memory safety and performance optimization
This skill should be used when users need to research leads, find company information, discover contact details, or identify buyer intent signals. It activates when users ask about lead research, company research, contact discovery, buyer intent, or prospect research.
4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.
Type-safe environment variable validation using Zod with a Drizzle-like schema API. Supports server/public fields, feature flags, either-or constraints, and client-side protection.
Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.
Create a structured format for documenting feature requirements as user stories. JSON files with testable acceptance criteria that AI agents can verify and track.
Capture exceptions, add context, create performance spans, and use structured logging with Sentry.