{"id":16361,"plugin_id":"plugin_asdk_app_6aac5610a1748191ae0e9190fd7563c0","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:13:15.912Z","digest":"973c97fed4eab62475f1423158e12a414edbe2b6b269c3006a17182a9dcf1c7d","against":null,"payload":{"description":"Use when the user wants a comprehensive review of one stock, including quote context, performance, technicals, volume, valuation, fundamentals, and explicit evidence gaps. Do not trigger for trade execution or guaranteed real-time pricing.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":493}],"name":"stock-deep-dive","skill_md_contents":"---\nname: stock-deep-dive\ndescription: Use when the user wants a comprehensive review of one stock, including quote context, performance, technicals, volume, valuation, fundamentals, and explicit evidence gaps. Do not trigger for trade execution or guaranteed real-time pricing.\n---\n\n# Stock Deep Dive\n\nThe user's explicit instructions take precedence over this skill.\n\nUse Noweir Market Data to build a structured single-stock research brief.\n\nWorkflow:\n1. Identify the ticker. If the user gave a company name but not a ticker, call `search_symbols` first and choose only a clearly matching result.\n2. Call `get_stock_context` for the ticker.\n3. If the user asks for extra valuation or company detail, call `get_fundamentals`.\n4. If the user asks for more technical detail, call `get_multitimeframe_technicals`.\n5. Present the result in this order:\n   - latest available quote/session context and timestamp\n   - 1D, 5D, 1M, 3M, 6M, 1Y, and YTD performance where available\n   - daily and weekly trend structure\n   - RSI, MACD, EMA10/20/50, SMA200, ATR, and relative volume\n   - support/resistance candidates, clearly labeled as algorithmic candidates rather than validated trade zones\n   - valuation, growth, profitability, balance-sheet, and cash-flow highlights\n   - explicit evidence gaps and what still requires current primary-source verification\n6. Distinguish provider data from interpretation. Do not invent missing fields.\n7. Preserve the service disclosure that Yahoo/yfinance data is not guaranteed exchange-grade streaming real time.\n8. Do not claim that the output is a recommendation to buy, sell, or hold. If the user asks for a decision, summarize the factual trade-offs and evidence instead of making the decision for them.\n\n## Shared boundaries\n\n- Use only tool-returned values for numerical market/fundamental claims.\n- Do not invent missing data.\n- Treat Yahoo/yfinance data as secondary market-data/provider metadata and not guaranteed exchange-grade real time.\n- Preserve timestamps and price-type/session distinctions when relevant.\n- The plugin is read-only and cannot place trades, move money, modify brokerage accounts, or execute transactions.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}