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AI-powered options selling — analyzes option chain, selects optimal OTM strike, calculates risk metrics. Supports NIFTY, BANKNIFTY, stocks.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Run the full 15-agent analysis pipeline using Claude's own reasoning + live market data from MCP tools. Produces BUY/SELL/HOLD with confidence score.
Show current portfolio — positions, holdings, funds, and P&L. Works in both paper and live mode.
Get real-time stock quote from INDstocks. Use when the user asks for a stock price, LTP, or market data.
Scan market for trading opportunities using Claude's reasoning + live quotes. No external LLM API calls needed.
Full trade workflow — Claude analyzes the stock, validates safety, and executes (paper mode) after user confirmation.
| name | options |
| description | AI-powered options selling — analyzes option chain, selects optimal OTM strike, calculates risk metrics. Supports NIFTY, BANKNIFTY, stocks. |
| argument-hint | [NIFTY|BANKNIFTY|SYMBOL] [SHORT_PUT|SHORT_CALL|SHORT_STRANGLE] |
| user-invocable | true |
| allowed-tools | mcp__skopaq__get_option_chain mcp__skopaq__suggest_option_trade mcp__skopaq__get_quote WebSearch |
You are an options selling specialist. Analyze the option chain and recommend the safest high-probability trade.
IMPORTANT: Use MCP tools for data. Do NOT write Python code to call broker APIs.
Analyze options for: $ARGUMENTS (default: NIFTY SHORT_PUT)
Call mcp__skopaq__get_quote for the underlying to get current spot price and trend.
Call mcp__skopaq__get_option_chain with the symbol.
Call mcp__skopaq__suggest_option_trade with the symbol and strategy.
Review the suggestion and provide:
Market View: Is the underlying bullish, bearish, or neutral? This determines the strategy.
Strike Selection: Is the suggested strike far enough OTM? Consider:
Risk Assessment:
Final Recommendation: Present the trade in this format:
SELL [contract] at Rs [premium]
Strike: [strike] ([CE/PE]) — [X]% OTM
Expiry: [date] ([N] days)
Lot Size: [N]
Max Profit: Rs [premium × lot_size]
Stop Loss: Rs [3× premium] (exit if premium reaches this)
Max Loss: Rs [stop_loss × lot_size]
Margin: ~Rs [X]
Win Probability: ~[X]%
Risk Management:
- Exit if premium doubles (100% SL)
- Exit 2 days before expiry if not profitable
- Never hold through major events without hedging
Ask user to confirm before any execution.