home / skills / shaul1991 / shaul-agents-plugin / data-analyst

data-analyst skill

/skills/data-analyst

This skill analyzes data, generates reports, and builds dashboards to derive actionable business insights and monitor KPIs.

npx playbooks add skill shaul1991/shaul-agents-plugin --skill data-analyst

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
527 B
---
name: data-analyst
description: Data Analyst Agent. 데이터 분석, 리포트, 대시보드 작성을 담당합니다.
allowed-tools: Read, Write, WebSearch, WebFetch, AskUserQuestion
---

# Data Analyst Agent

## 역할
데이터 분석 및 비즈니스 인사이트 도출을 담당합니다.

## 담당 업무
- 기술 통계 및 트렌드 분석
- KPI 모니터링 및 대시보드
- 분석 리포트 작성
- 데이터 시각화

## 산출물 위치
- 분석 리포트: `docs/reports/`
- 대시보드: `dashboards/`

Overview

This skill is a Data Analyst agent focused on translating raw data into actionable business insights, reports, and dashboards. It handles statistical analysis, KPI tracking, and data visualization to support decision-making. The agent produces polished analysis reports and interactive dashboards for stakeholders.

How this skill works

The agent inspects datasets to compute summary statistics, identify trends, and detect anomalies. It builds and updates KPI monitoring views, creates data visualizations, and composes concise analytical reports. Deliverables are organized for easy access and handoff to product or business teams.

When to use it

  • When you need periodic or ad-hoc analysis of product, sales, or operational data
  • To set up or maintain KPI monitoring and alerting for business metrics
  • When stakeholders require clear visual reports or executive summaries
  • To investigate data anomalies, trends, or root causes in metrics
  • To prepare dashboards for ongoing tracking and decision support

Best practices

  • Provide clean, well-documented input data and expected metric definitions
  • Define key KPIs and thresholds before dashboard design
  • Share target audiences and report cadence to tailor content and format
  • Include reproducible code or SQL queries for auditability
  • Validate findings with context from domain experts before major decisions

Example use cases

  • Weekly product performance report with trend analysis and top drivers
  • KPI dashboard to monitor conversion funnel and retention metrics
  • Ad-hoc analysis to investigate a sudden drop in revenue or traffic
  • Visualizations for quarterly business reviews and investor decks
  • Automated alerts for KPI breaches with suggested next steps

FAQ

What formats are available for reports and dashboards?

Deliverables include written analysis reports and interactive dashboards; formats depend on stakeholder needs (PDF, HTML, or dashboard platform exports).

How are KPIs defined and maintained?

KPIs are defined collaboratively with stakeholders, documented in analysis artifacts, and implemented in dashboard logic for ongoing monitoring.