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Found 9,298 Skills
Polymarket sports prediction markets — live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, soccer, tennis, cricket, MMA, esports. Supports moneyline, spreads, totals, and player props. Use when: user asks about sports betting odds, prediction markets, win probabilities, market sentiment, or "who is favored to win" questions. Don't use when: user asks about actual match results, scores, or statistics — use football-data or fastf1 instead. Don't use for historical match data. Don't use for news — use sports-news instead. Don't confuse with Kalshi — Polymarket focuses on crypto-native prediction markets with deeper sports coverage; Kalshi is a US-regulated exchange with different market structure.
Systematic academic literature search with source prioritization and APA 7th edition citations. Use when the user needs to research a topic with scholarly sources, verify claims with academic backing, find peer-reviewed evidence, compile research findings, or generate properly cited reports. Triggers: "research [topic]", "what does the research say about...", "find studies on...", "verify this claim...", "literature review", "academic sources for...", "peer-reviewed evidence", "scholarly articles about...", "evidence-based", "cite sources for...". This skill provides basic APA citation capabilities; for advanced citation work (complex source types, edge cases, batch formatting), consider the `apa-style-citation` skill which offers enhanced citation expertise.
Explains vvvv gamma core concepts — data types, frame-based execution model, pins, pads, links, node browser, live compilation (source project vs binary reference workflows), .vl document structure, file types (.vl/.sdsl/.cs/.csproj), ecosystem overview, and AppHost runtime detection. Use when the user asks about vvvv basics, how vvvv works, the live reload model, when to patch vs code, or needs an overview of the visual programming environment.
Conducts comprehensive Magento 2 performance analysis and optimization. Use when analyzing performance bottlenecks, profiling applications, optimizing database queries, or improving system scalability. Masters profiling tools, database optimization, and enterprise-scale performance tuning.
Audio forensics and voice recovery guidelines for CSI-level audio analysis. This skill should be used when recovering voice from low-quality or low-volume audio, enhancing degraded recordings, performing forensic audio analysis, or transcribing difficult audio. Triggers on tasks involving audio enhancement, noise reduction, voice isolation, forensic authentication, or audio transcription.
This skill should be used when the user asks about Bootstrap utilities, Bootstrap spacing utilities, Bootstrap margin utilities, Bootstrap padding utilities, Bootstrap display utilities, Bootstrap flex utilities, Bootstrap text utilities, Bootstrap color utilities, Bootstrap background utilities, Bootstrap border utilities, Bootstrap shadow utilities, Bootstrap sizing utilities, Bootstrap position utilities, Bootstrap visibility utilities, Bootstrap overflow utilities, Bootstrap opacity utilities, Bootstrap float utilities, Bootstrap vertical align utilities, Bootstrap link utilities, or needs help with Bootstrap utility classes.
NautilusTrader algorithmic trading platform reference. NautilusTrader 量化交易框架参考。 Use this skill when: - Working with NautilusTrader API (使用 NautilusTrader API) - Implementing trading strategies (实现交易策略) - Running backtests (运行回测) - Configuring data feeds and adapters (配置数据源和适配器) - Debugging NautilusTrader code (调试 NautilusTrader 代码) - Understanding trading concepts like positions, orders, and fills (理解持仓、订单、成交等概念) Keywords: NautilusTrader, strategy, backtest, trading, adapter, Binance, quantitative, 量化, 策略, 回测
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.
Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts.
Entry point to the divine toolkit — skills, agents, and commands that work with Claude Code's capabilities. Discovers available skills, agents, commands, and recommends the right tool for any task.
Unified requirement clarification to prevent downstream implementation churn by resolving ambiguity early. Default: research-first with autonomous decision-making and persistent questioning. --light: direct iterative Q&A. Triggers: "cwf:clarify", "clarify this", "refine requirements"
Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.