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Data Analyst

Skill
75

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.

Résumé IA

This skill acts as an expert in SQL, pandas, and statistical analysis. It can generate complex SQL queries, perform data manipulation and transformation with pandas, and conduct statistical analysis including hypothesis testing and correlation. The skill aims to provide clear comments, example results, and performance considerations for its outputs.

Practical Utility

  • warning:Usage examplesWhile the skill describes its capabilities, it lacks concrete, ready-to-use examples that demonstrate input, invocation, and observable output for each major function.
  • warning:Edge casesThe skill mentions core competencies but does not explicitly document failure modes, their observable symptoms, or recovery steps for edge cases like malformed input or missing dependencies.
  • warning:Production readinessWhile the skill outlines capabilities, it lacks concrete examples and detailed handling of edge cases, which are crucial for production readiness.

Code Execution

  • warning:ValidationWhile the skill implies structured output for queries and code, there's no explicit mention or evidence of schema validation libraries being used for input or output sanitization.
  • warning:Error HandlingThe skill description focuses on capabilities but does not detail how errors, unexpected states, or failure modes are caught, categorized, or reported meaningfully to the agent.

Installation

npx skills add shubhamsaboo/awesome-llm-apps

Exécute le CLI skills de Vercel (skills.sh) via npx — nécessite Node.js en local et au moins un agent compatible skills installé (Claude Code, Cursor, Codex, …). Suppose que le dépôt suit le format agentskills.io.

Mis à jour le 6 days ago
Voir le code source

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