Workflow skill for managing famou evolutionary experiment tasks, including public normal mode and public pro hybrid mode. Use this skill when the user mentions "submit experiment", "check experiment status", "delete experiment", "get experiment results", "account info", "quota", "credits", "famou experiment", "upload experiment", "config.yaml experiment", "hybrid mode", or needs to use famou-ctl to manage experiment tasks. Even if the user just says "submit" or "run experiment", trigger this skill whenever the context involves the famou platform.
Interactive end-to-end Famou workflow for defining, implementing, and solving optimization tasks. The workflow typically proceeds in three stages: (1) understand the data and define the task, producing `problem.md`; (2) implement and validate `evaluator.py`, `init.py`, and `prompt.md` from the task definition; (3) run deep solving through Famou. Trigger this skill whenever the user wants to define, clarify, create, or fix a Famou task; prepare Famou experiment artifacts; write or update `problem.md`, `evaluator.py`, `init.py`, or `prompt.md`; run Famou; do deep solving; or solve an optimization, ML, or search problem with evolutionary methods. Even if the user simply says "help me make a Famou task", "help me solve this", or "run Famou", trigger this skill whenever the surrounding context indicates an optimization or search task. Also trigger when the user describes a combinatorial optimization, scheduling, routing, or ML problem without mentioning Famou — treat it as a potential Famou task.
A data analysis skill for understanding datasets, analyzing data, building data processing pipelines, and summarizing analytical results. Use this skill when the user mentions "analyze data", "data processing", "data exploration", "statistical analysis", "data cleaning", "data summarization", "create a data report", "understand this dataset", or "take a look at this CSV/Excel/dataset". Even if the user simply says "help me look at this data" or "analyze this", trigger this skill whenever the context involves a data file or dataset. Also invoke this skill if data analysis is required during Famou problem definition.
Generate interactive visualization pages for feasible solutions produced by Famou evolutionary algorithms. Use this skill when the user mentions "Famou visualization", "visualize this solution", "show feasible solution results", "evolution results", "evolve visualization", or provides a Python-code solution (path planning, scheduling, knapsack, TSP, job scheduling, machine learning, etc.) that needs to be displayed visually. Even if the user just says "help me visualize this solution", "draw it out", or "show me the results", trigger this skill immediately whenever the context involves evolutionary algorithms or optimization problem solutions.
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
医疗票据整理助手，用于自动分类、OCR识别和信息抽取。当用户需要处理医疗票据时使用，支持文件夹或压缩包输入，自动分类存放到不同文件夹，抽取病历信息（住院日期、医院名称），生成发票汇总CSV表格。
Analyze image files, image URLs, PDF files, and PDF URLs when the task requires recognizing, understanding, extracting, answering questions about, or locating content from the visual input. Typical uses include document parsing, layout analysis, element recognition, OCR, key information extraction, chart understanding, and document VQA. Do not use for plain text, structured data, code files, image-processing tasks, or cases where the needed information is already available in text form.