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Found 3,924 Skills
Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, aggregated consensus signals, and signal history. Use this skill when the user asks about 聪明钱, smart money, 牛人榜, leaderboard, top traders, 带单员, lead traders, 交易员排行, trader ranking, trader positions, trader PnL, 交易员持仓, 交易员收益, smart money signal, 聪明钱信号, long/short ratio, 多空比, capital flow, 资金流向, position conviction, 仓位强度, entry price distribution, smart money overview, 聪明钱总览, signal history, 信号历史, trader search, 搜索交易员, who is trading BTC, 谁在交易BTC, recommend traders, 推荐交易员, best traders, top performers.
A building experience: create, test, validate, refine, and publish extraction workflows based on existing or new Nimble agents. For users who want to invest in a durable, reusable workflow for a specific domain — not get data immediately. Trigger phrases: "set up extraction for X site", "I need to extract from this site regularly", "build an agent for", "create a reusable scraper", "generate a Nimble agent", "refine my agent", "add a field to my agent", or when the user wants to run extraction at scale. For getting data immediately, use nimble-web-expert instead.
Configure iptables, nftables, and cloud firewalls. Implement network segmentation and traffic filtering. Use when securing network perimeters or implementing security zones.
Correct usage of context.Context in Go: propagation, cancellation, timeouts, deadlines, values, and common anti-patterns. Use when: "context usage", "context.Context", "context cancellation", "timeout", "context.WithTimeout", "context.WithCancel", "context values", "context propagation". Do NOT use for: concurrency patterns beyond context (use go-concurrency-review), HTTP middleware context (use go-api-design), or error handling (use go-error-handling).
Describe what an existing SigNoz alert rule does in plain language — the signal it watches, the threshold and evaluation behavior, the notification routing, and a one-line fire-frequency summary so the user knows whether the alert has been active. Make sure to use this skill whenever the user asks "what does this alert do", "explain alert X", "walk me through this rule", "how does my [Y] alert work", "is this alert configured correctly", or otherwise asks for an interpretation of an existing alert's configuration. Static explanation only — for diagnosing a specific firing incident, use `signoz-investigating-alerts`.
Designs and refactors software codebases to be AI-friendly by aligning the filesystem with domain/feature boundaries, creating deep (greybox) modules with small public interfaces, enforcing import boundaries, and tightening tests/feedback loops. Use when the user asks to "make the codebase AI-ready", "reduce coupling", "introduce deep modules", "create module boundaries", "restructure folders by feature", "define service interfaces", or "plan a refactor + tests so AI agents can work safely".
Tracks PetTracer (pettracer.com) GPS collars via the PetTracer portal API: fetches a pet’s latest location, location history, and optionally streams updates via the PetTracer WebSocket (SockJS/STOMP). Use when the user asks “where is my pet/cat”, “track my PetTracer”, wants GPS coordinates/history, or needs help with PetTracer authentication tokens or live tracking.
Adds, repairs, or migrates a production-grade RevenueCat plus Superwall integration in a React Native Expo app for iOS and Android. Chooses between CustomPurchaseControllerProvider and purchasesAreCompletedBy or observer-mode migration, wires Expo config and development builds, syncs identities and entitlements, handles Android base plans and offers, iOS UUID appAccountToken quirks, restore behaviour, analytics, testing, and troubleshooting. Use when the user asks to add subscriptions, paywalls, RevenueCat, Superwall, entitlements, restore flows, account switching, or monetisation migration in an Expo app. Do not use for bare React Native, RevenueCat-only UI work, or web-only billing.
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
Behavioral frameworks, technical interview patterns, system design, coding, and negotiation prep
使用 agency-agents-zh 中文 AI 智能体角色库，为 AI 编程工具提供 215 个即插即用的专家角色
Self-evolving autonomous agent framework with skill tree growth, browser/desktop/mobile control, and hierarchical memory system