Loading...
Loading...
Found 308 Skills
Use this skill for smart-money/whale/KOL/大户 signal/信号 tracking — monitoring what notable wallets are buying across the market. Covers: real-time buy signals from smart money, KOL/influencers, and whales; filtering by wallet type, trade size, market cap, liquidity; listing supported chains for signals. Use when the user asks 'what are smart money/whales/KOLs buying', '大户在买什么', 'show me whale signals', 'smart money alerts', or wants to follow notable wallet activity. Do NOT use for meme/pump.fun token scanning — use okx-dex-trenches. Do NOT use for individual token holder distribution — use okx-dex-token.
Address book member query skill, which obtains address book members within the visible range of the current user, supports local filtering and matching by name/alias. Returns userid, name and alias. ⚠️ Only members that the current user has permission to view are returned, not the full list of members.
Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.
Readiness checklist for homelab VLAN segmentation, local DNS filtering, and WireGuard-style remote access before changing router, firewall, DHCP, or VPN configuration.
OpenTelemetry Transformation Language (OTTL) expert. Use when writing or debugging OTTL expressions for any OpenTelemetry Collector component that supports OTTL (processors, connectors, receivers, exporters). Triggers on tasks involving telemetry transformation, filtering, attribute manipulation, data redaction, sampling policies, routing, or Collector configuration. Covers syntax, contexts, functions, error handling, and performance.
Vercel Firewall and security expert guidance. Use when configuring DDoS protection, WAF rules, rate limiting, bot filtering, IP allow/block lists, OWASP rulesets, Attack Challenge Mode, or any security configuration on the Vercel platform.
Frontend Code Commit Assistant, triggered in frontend projects with src directory structure. Summarize modified files under the src directory, generate standardized commit messages, and automatically execute add and commit operations. Supports features such as forbidden directory filtering, intelligent file selection, conflict detection, and multi-change separation. Note: Push operations are prohibited.
Work with raster and imagery data including ImageryLayer, ImageryTileLayer, multidimensional data, pixel filtering, and raster analysis. Use for satellite imagery, elevation data, and scientific raster datasets.
Comprehensive guide for implementing Syncfusion React dropdown components including AutoComplete, ComboBox, DropDownList, ListBox, Mention, MultiSelect, and MultiColumn ComboBox. Use this when building selection interfaces, data binding, filtering, cascading dropdowns, custom templates, and accessible dropdown experiences in React applications.
Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.
Build headless data tables with TanStack Table v8. Server-side pagination, filtering, sorting, and virtualization for Cloudflare Workers + D1. Prevents 12 documented errors. Use when building tables with large datasets, coordinating with TanStack Query, or fixing state management, performance, or React 19+ compatibility issues.
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.