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This skill should be used when working with AipyPro AI agent to execute Python code via natural language commands. AipyPro is an AI-powered Python execution tool that can generate and run Python code based on natural language instructions.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | aipypro |
| description | This skill should be used when working with AipyPro AI agent to execute Python code via natural language commands. AipyPro is an AI-powered Python execution tool that can generate and run Python code based on natural language instructions. |
AipyPro技能包
AipyPro技能包是一个专门为AipyPro AI代理设计的综合技能套件，支持通过自然语言命令执行Python代码生成和运行。该技能包提供了完整的命令行参考、实用示例、辅助脚本和最佳实践指南。
aipypro run "create a function to calculate fibonacci sequence"aipypro run "analyze CSV file and create visualization"aipypro run "monitor system resources and generate report"aipypro run "explain binary search algorithm with example"instruction: "自然语言指令" # 必需参数，描述要执行的任务
--style: "代码风格" # 可选，如"professional", "simple"
--role: "执行角色" # 可选，如"developer", "analyst"
--task: "任务类型" # 可选，如"data_analysis", "system_admin"
# 基本用法
aipypro run "create a function to calculate factorial"
# 带样式参数
aipypro run --style professional "implement binary search algorithm"
# 带角色参数
aipypro run --role data_scientist "analyze time series data"
task_name_timestamp.extension# 示例1: Hello World
aipypro run "print Hello World"
# 示例2: 简单计算
aipypro run "calculate 7 * 8"
# 示例3: 文件操作
aipypro run "list files in current directory"
# 示例4: 数据可视化
aipypro run "create bar chart for sales data"
# 示例5: 系统监控
aipypro run "check disk usage and memory"
# 示例6: 机器学习
aipypro run "train classification model on dataset"
# 完整的数据分析管道
aipypro run "create complete data pipeline: load data, clean, analyze, visualize"
aipypro --version
# 使用helper脚本安装依赖
python scripts/aipypro_helper.py --install-deps
# 运行测试命令
aipypro run "test basic functionality"
# 配置文件位置: ~/.aipypro/config.yaml
settings:
default_style: "professional"
auto_save: true
output_dir: "./aipypro_output"
log_level: "INFO"
# 步骤1: 数据加载
aipypro run "load CSV file and inspect structure"
# 步骤2: 数据清洗
aipypro run "clean data by removing duplicates and filling missing values"
# 步骤3: 分析
aipypro run "analyze data and generate statistics"
# 使用角色参数提高代码质量
aipypro run --role senior_developer "implement production-ready API"
# 使用样式参数控制输出格式
aipypro run --style concise "create summary report"
# 生成测试代码
aipypro run "create unit tests for the generated function"
# 验证输出
aipypro run "validate the analysis results"
症状: 命令执行无响应或报错 解决方案:
aipypro --versionpython --versionaipypro run --verbose "your command"症状: 生成的Python代码无法运行 解决方案:
--style debug参数生成调试信息症状: 导入错误或模块未找到 解决方案:
python scripts/aipypro_helper.py --install-packages pandas matplotlib
aipypro run "using pandas, analyze the data"
症状: 执行缓慢或内存占用高 解决方案:
--task optimize参数aipypro-skill/
├── SKILL.md # 主技能文档（本文件）
├── README.md # 项目README
├── scripts/
│ └── aipypro_helper.py # Python辅助脚本
├── references/
│ ├── command_reference.md # 完整命令参考
│ └── examples.md # 使用示例
└── assets/
└── task_template.json # 任务配置模板
本项目采用MIT许可证。详细信息请查看LICENSE文件。
references/目录examples.mdpython scripts/aipypro_helper.py --help我们欢迎任何形式的反馈，包括:
最后更新: 2024年3月13日 维护者: AipyPro技能包团队