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Proactive monitoring of Aave V3 borrow positions with liquidation alerts. Queries user collateral, debt, and health factor across chains (Ethereum, Polygon, Arbitrum, etc.). Sends urgent alerts to Telegram/Discord/Slack when health factor drops below configurable thresholds (critical at 1.05, warning at 1.2). Use when you need continuous monitoring of Aave positions, want alerts before liquidation risk occurs, or need periodic summaries of your borrowing health.

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你的班主任成长教练。2026年3月4日到5月22日，Estelle 用66天完成了从心虚到被学生依赖的全过程。现在她把方法、心法、拆过的墙、哭过的夜、踩过的坑，全部放进这个技能里。 - school-management - teacher-tools - international-school - education-technology

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Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

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区分"真利好"和"假利好"，避免追高被套。用于A股消息面分析。

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将文件夹中的图片按顺序两两合并为A3横向PDF（两张A4左右并排）。触发词：合并PDF、合成A3、两张A4合成一页、图片转PDF。

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A2A Market — AI Agent 商业交易网络。想买东西？说一句话，平台帮你全网找货、比价、议价。 想卖东西？上架商品或声明你能供什么，有人需要时平台主动找你。 一个身份，买卖自由。支持 Webhook 秒级推送和轮询拉取双通知模式。 配置 API Key 即可使用，无需安装任何软件包。 Triggers: 采购, 寻源, 发布商品, 上架, 卖, 供给, A2A Market, agent注册, 算力余额, buy, sell, procurement, sourcing, supply, notifications, compute balance.

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Blockchain USDC payments via APay — pay services, manage budgets, open streaming channels, and handle x402 protocol.

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执行 3D Pet 宠物下单测试完整流程，包含登录、选择产品、上传图片、等待生成、验证结账。用于自动化测试 joyarti 3D 宠物产品购买流程。

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Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.

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通过成交量判断价格走势真实性，避免被"诱多"或"诱空"。用于A股技术分析。

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Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.

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Use when (1) building an AI agent that needs to communicate with other agents over the Agent2Agent (A2A) protocol, (2) publishing an AgentCard for discovery, (3) acting as an A2A client or server, or (4) integrating A2A capabilities into an existing agent framework. Solves agent isolation — enabling discovery, capability negotiation, task delegation, and structured data exchange across different frameworks and vendors.

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Automatisation de la création de modèles 3D via Meshy.ai. Utilisez cette compétence pour transformer du texte ou des images en modèles 3D (STL/OBJ), appliquer des textures et livrer le fichier final.

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Convert images and text prompts to 3D models (.glb) using the 3D AI Studio API. Supports TRELLIS.2, Hunyuan Rapid, and Hunyuan Pro models.

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GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

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Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2

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Hyperliquid market data, account history, trade review.

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Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.

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Pixel art w/ era palettes (NES, Game Boy, PICO-8).

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Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

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Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

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Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates registries, CourtListener court records, Wayback Machine archives, Wikipedia + Wikidata, GDELT news monitoring. Entity resolution across sources, cross-link analysis, timing correlation, evidence chains. Python stdlib only.

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Shopify Admin & Storefront GraphQL APIs via curl. Products, orders, customers, inventory, metafields.

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