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Found 318 Skills
Prepares Sent US A2P SMS 10DLC compliance by collecting business, opt-in, brand, campaign, sample-message, and profile-completion evidence. Use when a user says 10DLC, A2P, TCR, campaign registry, brand vetting, SMS compliance, US texting, long code registration, opt-in proof, opt-out language, carrier filtering, or needs to register SMS through Sent.
Analyzes Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery failures, read-rate gaps, channel fallback, and suspicious performance changes. Use when a user says MDR, delivery report, message activity, webhook event, failed messages, low delivery rate, RCS fallback, WhatsApp read rate, SMS filtering, campaign performance, or asks why messages did not arrive.
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.
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.
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.
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.
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.
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.