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Found 1,867 Skills
Use this skill when optimizing content for answer engines and SERP features - featured snippets (paragraph, list, table), People Also Ask (PAA) targeting, voice search optimization, knowledge panels, speakable schema, and zero-click search strategies. Triggers on winning position zero, optimizing for Google's answer boxes, voice assistant responses, or FAQ-style content optimization.
Wallet profiler — balance, PnL, labels, transactions, counterparties, related wallets, batch, trace, compare. Use when analysing a specific wallet address or comparing wallets.
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
This Skill is built based on Eastmoney's authoritative database and the latest underlying market data, supporting natural language queries for market data (real-time quotes, main capital flows, valuations, etc. of stocks, industries, sectors, indices, funds, bonds), financial data (basic information of listed companies, financial indicators, executive information, main business, etc.), and relationship and operation data (associated relationships, enterprise operation data). It prevents models from answering financial data questions based on outdated knowledge and provides authoritative and timely financial data.
Deterministic 3-phase GitHub PR review comment extraction: Authenticate, Mine, Validate. Use when mining tribal knowledge from PR reviews, extracting coding standards from review history, or building datasets for the Code Archaeologist agent. Use for "mine PRs", "extract review comments", "tribal knowledge", or "PR review history". Do NOT use for analyzing patterns, generating rules, or interpreting comments — that is the Code Archaeologist agent's responsibility.
Use for Cobo Agentic Wallet operations via the `caw` CLI: wallet onboarding, token transfers (USDC, USDT, ETH, SOL, etc.), smart contract calls, balance queries, and policy denial handling. Covers DeFi execution on EVM (Base, Ethereum, Arbitrum, Optimism, Polygon) and Solana: Uniswap V3 swaps, Aave V3 lending, Jupiter swaps, DCA, grid trading, Polymarket, and Drift perps. Use when: user mentions caw, cobo-agentic-wallet, MPC wallet, TSS node, Cobo Portal, agent wallet, or needs any crypto wallet operation — even without explicit "Cobo" mention. NOT for: fiat payments, bank transfers, or crypto-to-fiat off-ramp.
Make sure to use this skill whenever the user mentions anything related to Danish property data, housing prices, real estate statistics, sold homes, property history, BBR data, or the Danish housing market — even if they don't mention boliga.dk explicitly. Also invoke this skill for questions about specific Danish addresses, zip codes, or municipalities in a housing context. Trigger phrases include: danish property, danish real estate, danish housing market, boliga, bolig til salg, solgte boliger, boligpriser, ejendomspriser, ejendom, ejerlejlighed, villa, rækkehus, sommerhus, fritidshus, andelsbolig, helårsgrund, landejendom, BBR data, bygningsregistret, property for sale denmark, sold homes denmark, house prices denmark, apartment prices copenhagen, aarhus housing, odense real estate, housing statistics denmark, quarterly price index denmark, most viewed properties denmark, property valuation denmark, ejendomsvurdering, salgspris, kvadratmeterpris, days on market, dage til salg, boligsøgning, address lookup denmark, property history denmark.
Implement the Syncfusion Angular ListBox component for selection and data display. Use this when building interactive list interfaces with single or multiple selection modes. This skill covers drag-and-drop functionality, grouped data display, icons and templates, filtering, and accessibility support for enterprise-grade list components in Angular applications.
Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to optimize your Amazon strategy.
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
Implements Syncfusion Windows Forms GridGroupingControl for advanced data management with grouping, sorting, filtering, and hierarchical display. Use this when working with multi-level grouping, master-detail grids, nested table relationships, or data summaries with aggregates. The skill covers group-by operations, Excel-like filtering, dynamic record filters, hierarchical data structures, and enterprise-level grid capabilities.
Architecture reviews across 7 dimensions: structural integrity, scalability, enterprise readiness (SOC2/HIPAA/GDPR/PCI-DSS), performance, security, operational excellence, and data architecture. Produces scored reports with prioritized recommendations. Three modes: (1) Codebase review — evidence-based analysis of source code, configs, IaC; (2) Document review — risk-based analysis of design docs, RFCs, specs; (3) Hybrid — drift detection between intent and implementation. Triggers on: "review architecture", "critique design", "audit system", "evaluate codebase", "find design flaws", "assess scalability", "check security", "enterprise readiness", "architecture assessment", "technical due diligence", or when user provides a system design document or codebase and asks for feedback or improvements. For architecture diagrams, visuals, or topology drawings, use architecture-diagram instead.