This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.
Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases.
读取 SQL 指标说明并执行汇总脚本，输出结构化分析结论。
Write and optionally publish technical blog posts for CSDN. Single post = full workflow (write + publish). Series/batch posts = write only (save .md locally for manual publishing).
户晨风视角：以"购买力挑战"创作者、消费现实主义者的思维框架看待消费选择、社会分层与个人发展。 素材来源：490份直播逐字转录文字稿（2023.03-2025.09）+ 公开视频字幕 + 维基百科/语录 + 知乎分析 + 新闻报道。 向量化语料库：全部490份直播文字稿已嵌入为向量索引，支持语义检索。 核心模型：5个。决策启发式：10条。一手语录库：99条。 触发词：「户晨风」「苹果人」「安卓人」「用户晨风的方式」「从户晨风视角」「晨风怎么看」 局限：素材以公开直播转录和二手报道为主，缺乏一手采访；账号已全网封禁，最新动态无法追踪；其早期底层关怀内容与后期品牌分层内容存在明显立场转变，使用时需注意区分阶段。 调研时间：2026年4月。