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Query real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting.
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Query BondTerminal API using x402 keyless payments. No API key needed — pay $0.01 USDC per request on Base mainnet. Use when users ask for Argentine bond data, analytics, cashflows, history, riesgo país, or ISIN/ticker lookups (e.g. AL30, GD30, US040114HS26). Supports automatic 402 → payment → retry.
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使用 gcloud CLI 操作 Google Cloud Platform。当用户提到 GCP、Google Cloud、gcloud、Google Cloud SDK、GCE、GKE、BigQuery、Cloud Storage、Cloud Run、Cloud Functions、VPC、计算实例、VM、存储桶、部署到 GCP、GCP 项目、GCP 账单、IAM 权限等时触发此技能。即使用户只说"我的云服务器"、"查看服务器状态"、"云存储"等模糊表述，如果上下文暗示 Google Cloud，也应使用此技能。
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Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
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Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says "extract", "grab the content from", "pull the text from", "get the page at", "read this webpage", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.
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