image-understanding

name	Image Understanding
description	Analyze images sent by the user, such as portfolio screenshots or candlestick charts, and combine the result with tools for a fuller assessment
when_to_use	Only invoke when the current message contains an actual image attachment (photo, screenshot, chart). Never call this skill for text-only requests, even if the user mentions watchlists, portfolios, or charts in text.
tools	["portfolio","web_search","data_fetch"]

Image Understanding Skill

When the user sends an image attachment, first consume the current-turn 【图片文字提取】 block produced by the attachment service. It is trusted current-attachment evidence and is grouped by filename. Do not assume that a text-only model can open a local path, and do not call this skill repeatedly to try to make the same image visible.

If extraction is partial, answer from the fields that are actually present and ask one minimal confirmation only for the specific number or label that matters to the user's decision. Never replace the whole answer with a generic tool, OCR, or research failure.

Supported Scenarios

1. Identify Portfolio Screenshots

• Extract the ticker, company name, share count, cost basis, and similar details from the image
• Keep the filename boundary when several screenshots overlap
• Only offer portfolio(action="add") after summarizing the extracted values and receiving confirmation; image analysis itself is read-only

2. Analyze Market Charts

• Recognize candlestick trends and technical indicators such as moving averages, MACD, and RSI
• Combine the chart with real-time news from web_search for a broader judgment

Tool Guide

Tool call	Purpose
portfolio(action="add", ...)	Record the extracted holdings
web_search(query="...")	Search for news around the chart's time frame
data_fetch(data_type="quote", symbol="...")	Get live market data for comparison

Notes

• If the message contains multiple image attachments, analyze them one by one
• For unclear numbers, always ask the user to confirm instead of guessing
• After identifying a portfolio screenshot, summarize the extracted result and let the user confirm before writing it into portfolio
• Use other current-turn evidence such as portfolio(action="view"), data_fetch, or web_search when it helps answer the question; a missing image field is a narrow evidence gap, not authority to refuse the task