qianfanocr-document-intelligence
Qianfan OCR Document Intelligence
This skill orchestrates visual understanding for images and PDFs. It does not implement a vision model itself. It selects the right analysis mode, prepares inputs, invokes the bundled CLI, and returns a structured result for the upstream agent.
Required Execution Order
Always follow this order:
- Check whether
QIANFAN_TOKENis already available. - If the token is missing, stop immediately and ask the user for the API Key.
- If the user provides the API Key, write it to
<skill-root>/.envasQIANFAN_TOKEN=.... - Only after the token is available, continue to mode selection, reference loading, and CLI calls.
This token preflight takes precedence over all later rules in this skill. Do not read
references/*.md, do not select a mode, and do not call any bundled script until the token check
has passed.
More from baidubce/skills
famou-experiment-manager
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.
2baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
1template-skill
Replace with description of the skill and when Claude should use it.
1famou-data-analysis
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。
1medical-bill-organizer
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。
1famou-artifact-generator
交互式引导用户完成 FaMou 进化任务的完整流程:先通过结构化澄清循环产出 `problem.md`,再实现并验证 FaMou 实验的三个输入物料(`init.py`、`evaluator.py`、`prompt.md`)。当用户提到以下任意情形时触发:定义/澄清/创建 FaMou 任务、帮我写 problem.md、我想建一个进化任务、帮我准备 FaMou 实验物料、生成 init.py 或 evaluator.py、优化/ML/搜索问题需要进化求解。即使用户只说"帮我做个 FaMou 任务"或提供粗略想法,也应触发此技能并从澄清阶段开始。
1