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baidubce

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• 9 skills
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• 6 hours ago last updated

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   Data Analysis · baidubce

   数据分析技能，用于理解数据、分析数据、制作数据处理流程、汇总数据分析结果。当用户提到"分析数据"、"数据处理"、"数据探索"、"统计分析"、"数据清洗"、"数据汇总"、"制作数据报告"、"理解这份数据"、"看一下这个CSV/Excel/数据集"时，必须使用此技能。即使用户只说"帮我看看这个数据"、"分析一下"，只要上下文涉及数据文件或数据集，也应立即触发此技能。如果在FaMou问题定义过程中涉及到数据分析，也需要调用此技能。
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   Baidu Cloud Bos · baidubce bundle

   百度智能云对象存储（BOS）集成技能。当用户需要上传、下载、删除或复制 BOS 文件， 列出文件列表或 Bucket，获取签名 URL，处理图片（亮度、对比度、模糊、旋转、裁剪、水印等）， 或递归同步本地目录与 BOS 时使用此技能。
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   Famou Data Analysis · baidubce

   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.
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   Medical Bill Organizer · baidubce

   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。
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   Famou Artifact Generator · baidubce bundle

   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.
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   Famou Experiment Manager · baidubce bundle

   Manage public and hybrid Famou experiments via famou-ctl: submit config.yaml tasks; inspect status, manifests, leaderboards, logs, and reports; fetch ranked or top results; pause, resume, update, continue, cancel, or delete runs; and check account quota or credits. Use for Famou experiment lifecycle and result-management requests, including short requests such as "submit", "run experiment", or "download the top result".
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   Famou Experiment Diagnosis · baidubce bundle

   Diagnose a Famou experiment on explicit user request by inspecting its current status, latest leaderboard and result code, score improvement, candidate diversity, evaluator reward hacking, and signs of local convergence. Use when the user asks whether an experiment is healthy, improving, hacked, plateaued, stuck in a local optimum, or needs a diagnostic recommendation. Default to one read-only diagnosis; monitor repeatedly only when the user explicitly requests continuous diagnosis.
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   Famou Result Visualization · baidubce

   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.
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   Qianfanocr Document Intelligence · baidubce bundle

   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.
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