Loading...
Loading...
Found 1,971 Skills
Use this skill when the user mentions wallet login, sign in, verify OTP, create wallet, switch account, wallet status, logout, wallet balance, assets, holdings, send tokens, transfer ETH, transfer USDC, pay someone, send crypto, send ERC-20, send SPL, transaction history, recent transactions, tx status, tx detail, order list, call smart contract, interact with contract, execute contract function, send calldata, invoke smart contract, show my addresses, wallet addresses, deposit, receive, receive address, top up, fund my wallet. Chinese: 登录钱包, 钱包登录, 验证OTP, 创建钱包, 切换账户, 钱包状态, 退出登录, 余额, 资产, 钱包列表, 账户列表, 发送代币, 转账, 交易历史, 交易记录, 合约调用, 我的地址, 钱包地址, 充值, 充币, 收款, 收款地址, 入金. Manages the wallet lifecycle: auth (login, OTP verify, account creation, switching, status, logout), authenticated balance queries, wallet address display (grouped by XLayer/EVM/Solana), token transfers (native & ERC-20/SPL), transaction history, and smart contract calls. Do NOT use for DEX swaps — use okx-dex-swap. Do NOT use for token search or market data — use okx-dex-token or okx-dex-market. Do NOT use for smart money / whale / KOL signals — use okx-dex-signal. Do NOT use for meme token scanning — use okx-dex-trenches. Do NOT use for transaction broadcasting (non-wallet) — use okx-onchain-gateway. Do NOT use when the user says only a single word like 'wallet' or 'login' without specifying an action or context. Do NOT use for security scanning (token/DApp/tx/sig) — use okx-security. Do NOT use for querying a specific public address's portfolio balance (user provides an explicit address like 0xAbc...) — use okx-wallet-portfolio. Do NOT use for PnL analysis (win rate, realized/unrealized PnL, DEX history) — use okx-dex-market.
MUST READ before deploying any ADK agent. ADK deployment guide — Agent Engine, Cloud Run, GKE, CI/CD pipelines, secrets, observability, and production workflows. Use when deploying agents to Google Cloud or troubleshooting deployments. Do NOT use for API code patterns (use adk-cheatsheet), evaluation (use adk-eval-guide), or project scaffolding (use adk-scaffold).
E-commerce product photography: white-background hero shots, lifestyle scenes, flat lay, detail close-ups, packaging shots, group/collection displays, scale references, seasonal/holiday themes, 360-degree views, comparison layouts, infographics, and platform-optimized images (Amazon, Shopify, Taobao, Instagram, Xiaohongshu, Etsy, eBay). Use when generating professional product photos for e-commerce listings, catalogs, or marketing (e.g. product hero shot, Amazon listing image, lifestyle product photo, product on white background, product detail close-up, seasonal product campaign).
Escape from Tarkov game domain knowledge for EFT-Tracker. Understands quest structures, traders, Kappa container progression, and tarkov.dev API integration. Activates when user mentions: quest, trader, Kappa, task, hideout, PMC, SCAV, Tarkov, wipe, progression, locked, available, completed.
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
Turn a LinkedIn Analytics export into an interactive dark-themed React dashboard plus a written strategic analysis with 5 data-backed content recommendations. Reads every sheet in the export, builds charts for engagement trend, follower growth, post performance scatter, day-of-week heatmap, and audience breakdown. Use this skill whenever the user says "analyse my linkedin", "linkedin analytics", "build my dashboard", "review my performance", or uploads a LinkedIn Analytics export file. Requires the user's LinkedIn Analytics export (xlsx) as input.
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
Audit and improve SQL quality systematically — catch performance smells in raw SQL, ORM-generated queries, schema/modeling decisions, migrations, or PR diffs, explain the database-level impact, give a corrected version, and make the tradeoff explicit. Generic by design: no project, domain, ORM, or language config — any context it needs (is this table transactional? is the scan intentional? what volume is expected?) is raised during analysis, never assumed. Reach for it whenever someone writes, reviews, or optimizes a query or data-access code — "review this query", "why is this slow", "check my migration", "is this index right", or when you see N+1, SELECT *, a cartesian/row explosion, three-plus joins, a missing date filter on a growing table, OFFSET pagination, LIKE '%term%', NOT IN with nullable columns, an unindexed ORDER BY, an unbounded list, or a long transaction — even when they never say the word "SQL". Use it both to validate new code and designs and to audit existing ones.
Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas.
Write and query high-cardinality event data at scale with SQL. Load when tracking user events, billing metrics, per-tenant analytics, A/B testing, API usage, or custom telemetry. Use writeDataPoint for non-blocking writes and SQL API for aggregations.