Data & AI Skills

Expert on Aptos blockchain, Move language, smart contracts, NFTs, DeFi, and Aptos development. Triggers on keywords aptos, move, blockchain, smart contract, nft, defi, web3, mainnet, testnet, devnet

Expert on Aptos blockchain, Move language, smart contracts, NFTs, DeFi, and Aptos development. Triggers on keywords aptos, move, blockchain, smart contract, nft, defi, web3, mainnet, testnet, devnet

Expert on Aptos blockchain, Move language, smart contracts, NFTs, DeFi, and Aptos development. Triggers on keywords aptos, move, blockchain, smart contract, nft, defi, web3, mainnet, testnet, devnet

Replace arbitrary timeouts with condition polling for reliable async tests

Replace arbitrary timeouts with condition polling for reliable async tests

Replace arbitrary timeouts with condition polling for reliable async tests

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

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

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

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

Expert on Plaid accounts and account management. Covers account data retrieval, balance checking, account types, multi-account handling, and account webhooks. Invoke when user mentions Plaid accounts, account balance, account types, or account management.

Expert on Plaid accounts and account management. Covers account data retrieval, balance checking, account types, multi-account handling, and account webhooks. Invoke when user mentions Plaid accounts, account balance, account types, or account management.

Expert on Plaid accounts and account management. Covers account data retrieval, balance checking, account types, multi-account handling, and account webhooks. Invoke when user mentions Plaid accounts, account balance, account types, or account management.

Expert on Plaid Transactions product for retrieving banking transactions. Covers transaction sync, categorization, webhooks, recurring transactions, and historical data retrieval. Invoke when user mentions Plaid Transactions, transaction history, bank transactions, or transaction categorization.

Expert on Plaid Transactions product for retrieving banking transactions. Covers transaction sync, categorization, webhooks, recurring transactions, and historical data retrieval. Invoke when user mentions Plaid Transactions, transaction history, bank transactions, or transaction categorization.

Expert on Plaid Transactions product for retrieving banking transactions. Covers transaction sync, categorization, webhooks, recurring transactions, and historical data retrieval. Invoke when user mentions Plaid Transactions, transaction history, bank transactions, or transaction categorization.

Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.

Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.

Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.

Write the test first, watch it fail, write minimal code to pass

Write the test first, watch it fail, write minimal code to pass

Write the test first, watch it fail, write minimal code to pass