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Found 2,814 Skills
Expert helper for bash scripting, debugging, and best practices
This skill provides comprehensive knowledge for building type-safe, validated forms in React using React Hook Form and Zod schema validation. Use when: building forms with validation in React, integrating Zod schema validation with React Hook Form, using shadcn/ui Form or Field components, implementing client and server-side validation with a single schema, handling complex validation scenarios (nested objects, arrays, conditional fields, async validation), building multi-step forms or wizards, implementing dynamic form fields with useFieldArray, optimizing form performance and re-renders, ensuring accessible form error handling, or debugging form validation issues. Keywords: react-hook-form, useForm, zod validation, zodResolver, @hookform/resolvers, form schema, register, handleSubmit, formState, useFieldArray, useWatch, useController, Controller, shadcn form, Field component, client server validation, nested validation, array field validation, dynamic fields, multi-step form, async validation, zod refine, z.infer, form error handling, uncontrolled to controlled, resolver not found, schema validation error
This skill should be used when the user asks to "send a payment", "check balance", "list transactions", "create a quote", "manage customers", "create external account", "what currencies does Grid support", "how do I use the Grid API", "send money to [country]", "pay [UMA address]", "send to CLABE", "send to PIX", "send to IBAN", "send to UPI", "fund sandbox account", "test a payment", "on-ramp", "off-ramp", "convert crypto to fiat", "convert fiat to crypto", "look up UMA", "real-time quote", "JIT funding", or any payment operations using the Grid API CLI.
Local-first knowledge management with markdown vaults, bidirectional linking, plugin ecosystem, and flexible sync strategies
Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation
Generates production-ready API clients with TypeScript types, retry logic, rate limiting, authentication (OAuth, API keys), error handling, and mock responses. Use when user says "integrate API", "API client", "connect to service", or requests third-party service integration.
Frontend-backend communication patterns in Shopify Remix apps. Use when adding pages that need backend data, creating data mutations, using loaders and actions, handling authenticated requests, or managing session and authentication in routes.
Run deep research on a topic. Web searches, data collection, source checking, and a structured report. Use when the user needs more than a quick answer.
Use when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling to wait for actual state changes, eliminating flaky tests from timing guesses
This skill provides comprehensive knowledge for TanStack Query v5 (React Query) server state management in React applications. It should be used when setting up data fetching with useQuery, implementing mutations with useMutation, configuring QueryClient, managing caching strategies, migrating from v4 to v5, implementing optimistic updates, using infinite queries, or encountering query/mutation errors. Use when: initializing TanStack Query in React projects, configuring QueryClient settings, creating custom query hooks, implementing mutations with error handling, setting up optimistic updates, using useInfiniteQuery for pagination, migrating from React Query v4 to v5, debugging stale data issues, fixing caching problems, resolving v5 breaking changes, implementing suspense queries, or setting up query devtools. Keywords: TanStack Query, React Query, useQuery, useMutation, useInfiniteQuery, useSuspenseQuery, QueryClient, QueryClientProvider, data fetching, server state, caching, staleTime, gcTime, query invalidation, prefetching, optimistic updates, mutations, query keys, query functions, error boundaries, suspense, React Query DevTools, v5 migration, v4 to v5, request waterfalls, background refetching, cacheTime renamed, loading status renamed, pending status, initialPageParam required, keepPreviousData removed, placeholderData, query callbacks removed, onSuccess removed, onError removed, object syntax required
This skill provides project-specific coding conventions, architectural principles, repository structure standards, testing patterns, and contribution guidelines for the better-chatbot project (https://github.com/cgoinglove/better-chatbot). Use this skill when contributing to or working with better-chatbot to understand the design philosophy and ensure code follows established patterns. Includes: API architecture deep-dive, three-tier tool system (MCP/Workflow/Default), component design patterns, database repository patterns, architectural principles (progressive enhancement, defensive programming, streaming-first), practical templates for adding features (tools, routes, repositories). Use when: working in better-chatbot repository, contributing features/fixes, understanding architectural decisions, following server action validators, implementing tools/workflows, setting up Playwright tests, adding API routes, designing database queries, building UI components, handling multi-AI provider integration Keywords: better-chatbot, chatbot contribution, better-chatbot standards, chatbot development, AI chatbot patterns, API architecture, three-tier tool system, repository pattern, progressive enhancement, defensive programming, streaming-first, compound component pattern, Next.js chatbot, Vercel AI SDK chatbot, MCP tools, workflow builder, server action validators, tool abstraction, DAG workflows, shared business logic, safe() wrapper, tool lifecycle
Creates complete single-file HTML/CSS/JS web apps with localStorage persistence, ADHD-optimized UI (60px+ buttons), dark mode, and offline functionality. Use when user says "create app", "build tool", "make dashboard", or requests any browser-based interface.