Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why...
WooYun漏洞分析专家系统。基于88,636个真实漏洞案例提炼的元思考方法论、测试流程、利用技巧、绕过方法。覆盖SQL注入、XSS、命令执行、逻辑漏洞、文件上传、未授权访问等主要漏洞类型。当用户进行漏洞挖掘、渗透测试、安全审计、代码审计时触发。
Work with climate data, models, and projections for climate impact assessment, downscaling, and scenario analysis using CMIP6 and other climate datasets. Use when "climate model, climate...
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and...
|
|
|
>
|
|
Identify capability gaps and propose new skills with prioritization. Use when analyzing missing capabilities, planning skill development, performing ontology expansion, or assessing coverage.
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast...
生成技术交底书的商业价值评估与专利布局分析报告。聚焦**战略决策**：要不要申请专利？商业价值如何？专利布局优先级是什么？适用于技术交底书完成后的战略评估。不包含商标、版权等其他IP保护（请使用 ip-strategy）。
|
Set up database replication for high availability and disaster recovery. Use when configuring master-slave replication, multi-master setups, or replication monitoring.
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python