Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when a request asks for a Chinese-first AI video script with shot plans, image prompts, narration, subtitles, or handoff contracts for scene generation, image generation, video assembly, or WeChat draft preparation.
Evaluates one-time price alert conditions using Pyth data. Checks if prices are above or below thresholds, if assets have moved by a percentage, or if prices are near period highs or lows. Use when a user asks "is BTC above $100k?", "has ETH dropped 5% today?", or "is gold near its weekly high?" These are point-in-time checks, not persistent alerts.
Tracks a portfolio of assets using Pyth price feeds. Discovers feeds, fetches current prices in a single batched call, computes portfolio value, allocation percentages, and P&L against historical reference prices. Use when a user wants to track holdings, check portfolio value, or compute gains and losses.
Use when writing documentation, guides, API references, or technical content for developers - enforces clarity, conciseness, and authenticity while avoiding AI writing patterns that signal inauthenticity
Analyze commodity cycles, futures curves, inventories, cost curves, policy/geopolitics, positioning, and transmission into related assets.
Analyze earnings releases, filings, transcripts, guidance, peer comparisons, market reaction, and thesis impact for a company reporting event.
Analyze new, pending, or expanding ETF products as product signals, exposure maps, demand indicators, and potential asset-pricing read-throughs.
Map an unclear industry concept into boundaries, value chain, supply-demand mechanics, profit pools, evidence gaps, and investable candidates.
Convert macroeconomic evidence into asset-pricing implications across growth, inflation, policy, rates, dollar, credit, liquidity, and risk appetite.