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Found 2,344 Skills
Provides AWS Lambda integration patterns for Java with cold start optimization. Use when deploying Java functions to AWS Lambda, choosing between Micronaut and Raw Java approaches, optimizing cold starts below 1 second, configuring API Gateway or ALB integration, or implementing serverless Java applications. Triggers include "create lambda java", "deploy java lambda", "micronaut lambda aws", "java lambda cold start", "aws lambda java performance", "java serverless framework".
Build a complete KPI framework for a creator marketing campaign from a business objective. This skill should be used when setting KPIs for an influencer campaign, building a measurement plan before campaign launch, mapping business objectives to creator marketing metrics, defining primary and secondary KPIs for a creator program, creating a metrics framework for an awareness or conversion campaign, setting measurement benchmarks by creator tier, building a KPI dashboard structure for influencer reporting, or defining success criteria before activating creators. For calculating ROI after a campaign ends, see campaign-roi-calculator. For setting numeric benchmark targets, see performance-benchmark-setter. For tracking creator posting compliance, see creator-posting-compliance-tracker.
When the user wants to analyze Google Search Console data, use GSC API, or interpret search performance. Also use when the user mentions "GSC," "Search Console," "indexing report," "Core Web Vitals," "Enhancements," "Insights report," "search performance," "search queries," "search performance report," "URL inspection," "impressions," "CTR," "average position," "index coverage," "title tag," "meta description," "GSC data analysis," "Search Console API," or "searchanalytics.query."
Guide for diagnosing and improving MSBuild project evaluation performance. Only activate in MSBuild/.NET build context. Use when builds are slow before any compilation starts, when evaluation time is high in binlog analysis, or when dealing with expensive glob patterns and deep import chains. Covers evaluation phases, glob optimization, import chain analysis, and /pp preprocessing.
OmniStudio FlexCard creation and validation with 130-point scoring. Use when building at-a-glance UI cards, configuring data source bindings to Integration Procedures, or reviewing existing FlexCard definitions for accessibility and performance. TRIGGER when: user creates FlexCards, configures data sources, designs card layouts, or asks about OmniUiCard metadata. DO NOT TRIGGER when: building OmniScripts (use sf-omniscript), creating Integration Procedures (use sf-integration-procedure), or analyzing dependencies (use sf-omnistudio-analyze).
Diagnose MSBuild build performance bottlenecks using binary log analysis. Only activate in MSBuild/.NET build context. USE FOR: identifying why builds are slow by analyzing binlog performance summaries, detecting ResolveAssemblyReference (RAR) taking >5s, Roslyn analyzers consuming >30% of Csc time, single targets dominating >50% of build time, node utilization below 80%, excessive Copy tasks, NuGet restore running every build. Covers timeline analysis, Target/Task Performance Summary interpretation, and 7 common bottleneck categories. Use after build-perf-baseline has established measurements. DO NOT USE FOR: establishing initial baselines (use build-perf-baseline first), fixing incremental build issues (use incremental-build), parallelism tuning (use build-parallelism), non-MSBuild build systems. INVOKES: dotnet msbuild binlog replay with performancesummary, grep for analysis.
Perform automated code reviews on GitLab merge requests. Analyzes code for style, bugs, security, performance, and error handling issues. Generates HTML report for easy reading.
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.
Fetch financial data from the Funda AI API (https://api.funda.ai). Covers quotes, historical prices, financials, SEC filings, earnings transcripts, analyst estimates, options flow/greeks/GEX, supply chain graph, social sentiment, prediction markets, congressional trades, economic indicators, ESG, and news. Triggers: stock quotes, fundamentals, balance sheet, income statement, cash flow, analyst targets, DCF, options chain/flow/unusual activity, GEX, IV rank, max pain, earnings/dividend/IPO calendar, SEC filings (10-K/10-Q/8-K), transcripts, supply chain (suppliers/customers/competitors), congressional trading, insider trades, institutional holdings (13F), Reddit/Twitter sentiment, Polymarket, treasury rates, GDP, CPI, FRED data, ESG scores, commodity/forex/crypto prices, stock screener, sector performance, ETF holdings, news, COT reports. Also triggers for "funda" or "funda.ai". If only a ticker is provided and Funda API can answer, use this skill.
Test trading strategies on historical data to evaluate performance, risks, and profitability.
Analyze hashtag performance and discover trending tags. Use when: researching hashtags for posts; finding related hashtags; analyzing hashtag reach; planning hashtag strategy; competitor hashtag research
Benchmark vLLM or OpenAI-compatible serving endpoints using vllm bench serve. Supports multiple datasets (random, sharegpt, sonnet, HF), backends (openai, openai-chat, vllm-pooling, embeddings), throughput/latency testing with request-rate control, and result saving. Use when benchmarking LLM serving performance, measuring TTFT/TPOT, or load testing inference APIs.