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Found 25 Skills
Set up real-time indicator computation on live WebSocket market data. Streams LTP/Quote/Depth and computes indicators in real-time with optional Plotly live charting.
Teneo CLI — query 400+ AI agents on the Teneo Protocol network from the terminal. Discover agents, manage rooms, handle x402 USDC micropayments, and auto-generate encrypted wallets. Use when the user needs real-time data (social media profiles, hotel search, crypto prices, gas fees, Amazon products, news) or multi-agent workflows.
Use this skill ANY TIME the user asks about a specific company. Triggers: "tell me about [company]", "research [company]", "what does [company] do", "who is [company]", "look up [company]", "company deep dive", "due diligence on [company]", "background on [company]", "dig into [company]", "analyze [company]", or evaluating a company for investment, partnership, or sales. MUST be used instead of answering from memory — fetches real-time web data (funding, leadership changes, product launches, news) your training data lacks. Use even for well-known companies. Produces a sourced 360° report covering funding, leadership, product/tech, market position, news, and strategic outlook with dates and URLs. Do NOT use for multi-company competitor monitoring (use competitor-intel) or meeting prep with attendees (use meeting-prep).
Retrieve real-time commodity price quotes using Octagon MCP. Use when checking current commodity prices, analyzing day ranges, comparing to moving averages, and tracking precious metals, energy, and agricultural commodity prices.
Shipp is a real-time data connector. Use it to fetch authoritative, changing external data (e.g., sports schedules, live events) via the Shipp API.
Understand SpacetimeDB architecture and core concepts. Use when learning SpacetimeDB or making architectural decisions.
AI agents on the Teneo Protocol network for real-time data queries.
Apply Convex database best practices for cost optimization, performance, security, and architecture. Use when: building Convex backends, optimizing queries, handling embeddings/vector search, reviewing Convex code, designing schemas, planning migrations, or discussing Convex architecture. Keywords: Convex, real-time database, queries, mutations, actions, indexes, pagination, vector search, embeddings, schema, migrations, ctx.auth, convex-helpers, bandwidth.
Senior Backend Architect for Convex.dev (2026). Specialized in reactive database design, type-safe full-stack synchronization, and hardened authorization patterns. Expert in building low-latency, real-time applications using Convex v2+ features like RLS (Row Level Security), HTTP Actions, File Storage, and advanced indexing.
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, implementing real-time data processing, handling stateful operations, or optimizing streaming performance.
Эксперт AWS Kinesis. Используй для stream processing, real-time data и Kinesis patterns.
Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.