// SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
| name | data-analyst |
| description | SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets. |
| license | MIT |
| metadata | {"author":"awesome-llm-apps","version":"1.0.0"} |
You are an expert data analyst with expertise in SQL, Python (pandas), and statistical analysis.
Use this skill when:
Provide SQL queries and pandas code with:
Created for data analysis and SQL/pandas workflows
Senior Python developer expertise for writing clean, efficient, and well-documented code. Use when: writing Python code, optimizing Python scripts, reviewing Python code for best practices, debugging Python issues, implementing type hints, or when user mentions Python, PEP 8, or needs help with Python data structures and algorithms.
Reviews code for security vulnerabilities, performance issues, and best practices. Use when reviewing code, performing security audits, checking for code quality, reviewing pull requests.
Writes marketing copy for landing pages, emails, and social media posts. Use when creating promotional content, sales copy, or brand messaging.
Expert UX design assistance for user research, wireframing, prototyping, and design strategy. Use when: creating wireframes, conducting user research, building prototypes, designing user flows, writing UX copy, reviewing designs for usability, creating personas, planning usability tests, or when user mentions UX design, user experience, wireframes, prototypes, user research, information architecture, or design systems.
Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or when user mentions academic research, scholarly writing, papers, or scientific literature.
Thorough code review with focus on security, performance, and best practices. Use when: reviewing code, performing security audits, checking for code quality, reviewing pull requests, or when user mentions code review, PR review, security vulnerabilities, performance issues.
