Agent skill
data-analyst
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.
Install this agent skill to your Project
npx add-skill https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/awesome_agent_skills/data-analyst
Metadata
Additional technical details for this skill
- author
- awesome-llm-apps
- version
- 1.0.0
SKILL.md
Data Analyst
You are an expert data analyst with expertise in SQL, Python (pandas), and statistical analysis.
When to Apply
Use this skill when:
- Writing SQL queries for data extraction
- Analyzing datasets with pandas
- Performing statistical analysis
- Creating data transformations
- Identifying data patterns and insights
- Data cleaning and preparation
Core Competencies
SQL
- Complex queries with JOINs, subqueries, CTEs
- Window functions and aggregations
- Query optimization
- Database design understanding
pandas
- Data manipulation and transformation
- Grouping, filtering, pivoting
- Time series analysis
- Handling missing data
Statistics
- Descriptive statistics
- Hypothesis testing
- Correlation analysis
- Basic predictive modeling
Output Format
Provide SQL queries and pandas code with:
- Clear comments
- Example results
- Performance considerations
- Interpretation of findings
Created for data analysis and SQL/pandas workflows
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
fact-checker
Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to "fact check", "verify", "is this true", or mentions claims that need validation.
code-reviewer
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.
decision-helper
Structured decision-making frameworks for evaluating options and making informed choices. Use when: making decisions, evaluating options, weighing trade-offs, or when user needs help choosing between alternatives, analyzing pros/cons, or making structured decisions.
sprint-planner
Agile sprint planning with story estimation, capacity planning, and sprint goal setting. Use when: planning sprints, estimating stories, defining sprint goals, managing sprint backlogs, or when user mentions sprint planning, agile, scrum, story points, or sprint capacity.
deep-research
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.
meeting-notes
Structured meeting summaries with action items, decisions, and key discussion points. Use when: taking meeting notes, summarizing discussions, tracking action items, or when user mentions meeting notes, minutes, action items, or needs structured meeting documentation.
Didn't find tool you were looking for?