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Found 3,855 Skills
Trust Wallet open-source libraries — Wallet Core (HD wallets, address derivation, tx signing in Swift/Kotlin/TypeScript/Go for 140+ chains), Web3 Provider (dApp connection for Ethereum/Solana/Cosmos/Bitcoin/Aptos/TON/Tron), deep linking, browser extension integration, WalletConnect, token assets repository, and Barz ERC-4337 smart wallet. Use when working with trustwallet/wallet-core, @trustwallet/wallet-core, trust-web3-provider, Trust Wallet deep links, token logos/metadata from trustwallet/assets, or Barz account abstraction.
Explore Solana's architecture and protocol internals. Covers the SVM execution engine, account model, consensus, transactions, validator economics, data layer, development tooling, and token extensions using the Helius blog, SIMDs, and Agave/Firedancer source code.
Complete DFlow trading protocol SDK - the single source of truth for integrating DFlow on Solana. Covers spot trading, prediction markets, Swap API, Metadata API, WebSocket streaming, and all DFlow tools.
Force a skeptical second pass on your own work. Because 'it should work' has never once been true.
Generates Angular code and provides architectural guidance for existing Angular v19 projects. Trigger for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Tailwind CSS v4.x utility-first CSS framework best practices. Use when styling web applications with utility classes, building responsive layouts, customizing design systems with @theme variables, migrating from v3 to v4, configuring dark mode, creating custom utilities with @utility, or working with any Tailwind CSS v4 features. This skill covers the full v4.x line through v4.2 including text shadows, masks, logical properties, and source detection. Use this skill even for simple Tailwind questions — v4 changed many class names and configuration patterns that trip people up.
Enforces per-skill execution budgets for scheduled cron skills — pauses runaway skills that exceed their token or wall-clock budget before they drain your monthly API allowance.
Create and manage a Notion-based tweet performance tracking system for "poor man's reinforcement learning"
Use when editing .astro/.mdx files, modifying astro.config.*, working with content collections (build-time or live), adding Tailwind CSS v4, using client directives (client:load/idle/visible), handling forms/actions with Zod 4, configuring server features (sessions, i18n, env vars, CSP, Cloudflare Workers), using view transitions or ClientRouter (<ClientRouter />), or setting up adapters (Node/Vercel/Netlify/Cloudflare) in an Astro project. Provides correct Astro 6 patterns, hydration guidance, view transition lifecycle, and prevents outdated Astro 3/4/5 code.
Binance new cryptocurrency trading auxiliary Skill. It provides structured support covering Binance new coin announcement alerts, pre-position opening risk checks, trading plan recording and subsequent review. It is suitable for ordinary Binance users, new coin followers, futures users prone to impulsive position opening, and people who want to build a more rational trading process. It supports logic-only mode and live-data mode; in live-data mode, it can rely on backend-integrated data sources (such as Binance public market data, Coinglass, GMGN.ai) to enhance judgment.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.