frontend▌

Comprehensive React component testing with Jest and React Testing Library covering configuration, mocking, async patterns, and best practices. \n \n Covers Jest configuration for JavaScript and TypeScript projects, including setup files, module mapping, and coverage thresholds \n Provides query strategies prioritizing accessibility (getByRole, getByLabelText) and explains getBy, queryBy, and findBy variants \n Includes mocking patterns for modules, functions, API calls via MSW, context, and chil

Plan and generate deep links for creating liquidity positions on Uniswap v2, v3, and v4.

sentry-nextjs-sdk

Use this skill when the user:

Skill by ara.so — Daily 2026 Skills collection.

Prescriptive workflow for incremental adoption of React Native in existing native apps using @callstack/react-native-brownfield, from initial setup through phased host integration.

Master guide for configuring Claude Code with templates, prompting strategies, and debugging techniques. \n \n Provides a CLAUDE.md configuration template for documenting project commands, code style rules, and agent workflows \n Includes \"Thinking\" keywords like \"step-by-step analysis\" and \"root cause investigation\" to trigger deeper reasoning in agent responses \n Offers debugging strategies for stuck agents: clearing context, using explicit instructions, and requesting verbose logs \n R

Audit UI code against Web Interface Guidelines with automated compliance checking. \n \n Fetches the latest guidelines from a remote source before each review, ensuring rules stay current \n Accepts file paths or patterns to review, or prompts the user if none are specified \n Outputs findings in a concise file:line format for quick issue identification \n Covers all rules defined in the fetched guidelines, including design, accessibility, and UX patterns \n

Generate comprehensive, LLM-ready brand voice guidelines from any combination of sources — brand documents, sales call transcripts, discovery reports, or direct user input. Transform raw materials into structured, enforceable guidelines with confidence scoring and open questions.

Inline backtest runner for Indian equities with EMA crossover strategy and benchmark comparison. \n \n Fetches OHLC data from OpenAlgo (with yfinance fallback) and runs a TA-Lib EMA 10/20 crossover strategy without file creation \n Applies Indian delivery fees (0.111% + Rs 20 per order) and automatically fetches NIFTY benchmark for alpha calculation \n Prints compact results summary including total return, Sharpe/Sortino ratios, max drawdown, win rate, and profit factor with plain-language metri