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Found 2,254 Skills
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".
This skill should be used when the user asks to "validate data with pydantic", "create a pydantic model", "use pydantic best practices", "write pydantic validators", or needs guidance on pydantic v2 patterns, serialization, configuration, or performance optimization.
Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to: (1) query warehouse/lakehouse data, (2) count rows or explore lakehouse tables, (3) discover schemas/columns, (4) generate T-SQL scripts, (5) monitor SQL performance, (6) export results to CSV/JSON. Triggers: "warehouse", "SQL query", "T-SQL", "query warehouse", "show warehouse tables", "show lakehouse tables", "query lakehouse", "lakehouse table", "how many rows", "count rows", "SQL endpoint", "describe warehouse schema", "generate T-SQL script", "warehouse performance", "export SQL data", "connect to warehouse", "lakehouse data", "explore lakehouse".
Use this skill when working with Unity game engine - C# scripting, Entity Component System (ECS/DOTS), physics simulation, shader programming (ShaderLab, HLSL, Shader Graph), and UI Toolkit. Triggers on gameplay programming, MonoBehaviour lifecycle, component architecture, rigidbody physics, raycasting, collision handling, custom shader authoring, material configuration, USS styling, UXML layout, and performance optimization for real-time applications. Acts as a senior Unity engineer advisor for game developers building production-quality games and interactive apps.
Apply this skill whenever writing, reviewing, or refactoring Laravel PHP code. This includes creating or modifying controllers, models, migrations, form requests, policies, jobs, scheduled commands, service classes, and Eloquent queries. Triggers for N+1 and query performance issues, caching strategies, authorization and security patterns, validation, error handling, queue and job configuration, route definitions, and architectural decisions. Also use for Laravel code reviews and refactoring existing Laravel code to follow best practices. Covers any task involving Laravel backend PHP code patterns.
Discover trending tokens and newly listed tokens across supported blockchains: view trending token rankings by chain and time window, find newly launched tokens, filter by launchpad platform, sort by volume/price change/market cap, and search within rankings by keywords. Trigger words: trending, trending tokens, hot tokens, top tokens, top gainers, top losers, market overview, market trends, what's hot, what's trending, popular tokens, most traded, highest volume, biggest gainers, biggest movers, new tokens, new listings, newly listed, just launched, new coins, recent launches, launchpad, pump.fun, pump fun, new launch, discovery, discover tokens, explore, market scan, market watch, ranking, rankings, leaderboard, top chart, heat map, token rankings, performance ranking, best performing. Chinese: 趋势, 热门代币, 排行, 排行榜, 涨幅榜, 跌幅榜, 市场趋势, 什么在涨, 热门, 最热, 新币, 新上线, 刚上线, 新发行, 最近上线, 市场概览, 市场扫描, 发现代币, 探索. CRITICAL: Always use `--json` flag for structured output. CRITICAL: When showing rankings, display at least token name, symbol, price, and 24h change. Do NOT use this skill for: - Specific token details, security audit, holders, or K-line → use liberfi-token - Wallet holdings or portfolio analysis → use liberfi-portfolio - Swap quotes, trading, or transaction execution → use liberfi-swap Do NOT activate on vague inputs like "market" alone without context indicating the user wants rankings or new token discovery.
Analyze wallet portfolios on supported blockchains: view token holdings with current values, track transaction activity and history, check PnL (profit and loss) statistics over different time windows, and query total wallet net worth. Also supports querying the authenticated user's own LiberFi TEE wallet portfolio without needing to provide a wallet address — use the `me` commands when the user wants to check their own LiberFi account's holdings, activity, stats, or net worth. Trigger words: wallet, portfolio, holdings, my tokens, my coins, my balance, what do I hold, what tokens do I have, wallet balance, wallet holdings, wallet activity, transaction history, recent transactions, transfers, swaps, trade history, wallet stats, PnL, profit and loss, profit, loss, gains, returns, performance, how much did I make, how much did I lose, win rate, net worth, total value, portfolio value, total balance, how much is my wallet, wallet overview, wallet summary, wallet analysis, check wallet, view wallet, my portfolio, account balance, my LiberFi wallet, my TEE wallet, my account portfolio, check my account, my holdings without address. Chinese: 钱包, 持仓, 我的代币, 我持有什么, 余额, 钱包余额, 交易记录, 交易历史, 最近交易, 转账记录, 钱包统计, 盈亏, 利润, 亏损, 收益, 收益率, 胜率, 净值, 总价值, 钱包总价值, 钱包概览, 钱包分析, 查看钱包, 我的LiberFi钱包, 我的TEE钱包, 我的账户持仓, 不知道地址查我的钱包. CRITICAL: Always use `--json` flag for structured output. CRITICAL: Public `wallet` commands require both chain and wallet address — always ask the user for these if not provided. CRITICAL: `me` commands do NOT require a wallet address — they use the authenticated user's TEE wallet automatically. They DO require authentication (run `lfi status` first, then `lfi login key` if needed). Do NOT use this skill for: - Token search, info, security audit, K-line → use liberfi-token - Trending tokens or new token rankings → use liberfi-market - Swap quotes, trade execution, or transaction broadcast → use liberfi-swap - Token holder analysis (for a specific token) → use liberfi-token Do NOT activate on vague inputs like "wallet" alone without a wallet address or clear intent to check portfolio data.
Create and manage a Notion-based tweet performance tracking system for "poor man's reinforcement learning"
Hypothesis → Prediction → Test → Revise with explicit falsification. Use for debugging, feature experimentation, performance investigation, and A/B testing design.
Guide for implementing Syncfusion WinUI DataGrid (SfDataGrid) for tabular data display in desktop applications. Use this skill when working with data grids, sorting, filtering, grouping, or CRUD operations. Covers data binding, column configuration, master-details views, Excel export, and performance optimization including data virtualization and custom templates.
Guide for implementing the Syncfusion WinUI Shimmer control to display loading placeholders and skeleton screens. Use this skill when implementing shimmer effects, skeleton screens, content loading animations, or loading placeholders during data fetching in WinUI applications. Essential for enhancing perceived performance during async operations, list loading, profile loading, article loading, or any content loading scenario requiring visual feedback.
Use when the system needs to track its own effectiveness, learn from errors, adapt workflows, and continuously improve performance - activates automatically every session to collect metrics, classify errors, recognize patterns, and implement evidence-based workflow improvements