my-stock-decide-skill当且仅当用户提供持仓列表(图片或文字),并明确要求“交易决策”时触发。根据宏观形势分数动态调控T1/T2/T3的仓位比例(总上限90%),为当前持仓及观察仓标的输出明确操作方向、情绪、价格和详尽操作原因。
Install via ClawdBot CLI:
clawdbot install canonxu/my-stock-decide-skillGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 22, 2026
A user provides their current portfolio holdings (via text or image) and asks for trading decisions. The skill performs macro stress testing to determine T1/T2/T3 allocation, then outputs buy/sell/hold recommendations with target prices and reasons for each holding and watchlist stock.
During times of market volatility (e.g., high inflation or geopolitical tension), a user wants to adjust their portfolio risk. The skill calculates a macro stress test score (range -5 to +5) and dynamically shifts T2 and T3 allocations (e.g., reducing T3 to 5-10% if the score is below -2).
A user has a watchlist of stocks (e.g., from my_stock_watchlist_skill) and wants decisions on whether to add them to the portfolio. The skill evaluates each watchlist stock against current holdings and macro conditions, providing buy/hold/sell actions and target prices.
A user wants to maximize returns but keep total exposure under 90% of assets. The skill uses the macro score to set dynamic upper limits (e.g., 90% if score > 3, 40-50% if score < -2) and recommends specific actions per stock to stay within the risk budget.
A user provides their current holdings quarterly and asks for a comprehensive review. The skill incorporates the latest macro data (CPI, Fed rates, etc.) to generate a stress test score, then outputs a structured decision for each holding, including a T1/T2/T3 classification update.
Offer the skill as a premium add-on to retail investor apps, providing automated macro-adjusted trading recommendations. Revenue comes from monthly or yearly subscription fees charged to users who want data-driven portfolio decisions.
License the skill's decision engine as an API for robo-advisors, brokerages, or trading platforms. Platforms integrate the macro stress test and allocation logic into their own tools, paying per API call or a flat monthly license fee.
Partner with online brokerages (e.g., Robinhood, TD Ameritrade) so that when the skill recommends a trade, users can execute it directly via the partner. Revenue is generated as a referral fee or a small commission on each executed trade recommended by the skill.
💬 Integration Tip
Integrate with my_stock_watchlist_skill to fetch watchlist data, and with a real-time macro data API (e.g., for CPI, Fed rates) for accurate stress testing scores.
Scored Jun 29, 2026
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