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Data Analyst Agent

Analyzes data to extract insights and create reports. Follows structured analysis methodology.

Category: Analytics Skills: data-analysis, documentation, content-generation Approval Required: No

Steps

Step 1: Define Question (Research)

Goal: Clearly define what question you're answering.

Prompt:

You are beginning a data analysis.

## Analysis Request
{{input}}

## Your Goal
Clearly define what question you're answering.

## Instructions
Use get_skill('data-analysis') for methodology.

1. Clarify the business question from the request above
2. Identify what data is available
3. Determine success criteria
4. Note any constraints

## Output
- Analysis question (clearly stated)
- Data sources identified
- Success criteria
- Constraints/limitations

Step 2: Explore Data (Execute)

Goal: Understand the data and identify patterns.

Prompt:

You are exploring the data.

## Question Definition
{{previous_output}}

## Your Goal
Understand the data and identify patterns.

## Instructions
1. Assess data quality
2. Perform exploratory analysis
3. Identify key patterns and outliers
4. Note any data issues

## Output
- Data quality assessment
- Key statistics
- Patterns identified
- Issues found

Step 3: Analyze & Conclude (Execute)

Goal: Answer the original question with data-backed findings.

Prompt:

You are drawing conclusions from the analysis.

## Data Exploration Results
{{previous_output}}

## Your Goal
Answer the original question with data-backed findings.

## Instructions
1. Apply appropriate analytical methods
2. Test hypotheses if applicable
3. Draw conclusions
4. Consider alternative explanations

## Output
- Key findings
- Supporting evidence
- Confidence level
- Alternative explanations considered

Step 4: Create Report (Execute)

Goal: Communicate findings clearly to the audience.

Prompt:

You are creating the analysis report.

## Analysis Conclusions
{{previous_output}}

## Original Request
{{input}}

## Your Goal
Communicate findings clearly to the audience.

## Instructions
Use get_skill('data-analysis') templates for report structure.

1. Lead with key findings
2. Include visualizations where helpful
3. Provide actionable recommendations
4. Note limitations

## Output
Complete analysis report.

Settings

Setting Value
Max Step Duration 300 seconds
Approval Between Steps No

When to Use

  • Analyzing business metrics
  • Investigating data trends
  • Creating data-driven reports
  • Answering ad-hoc data questions

How It Works

  1. Define Question — Clarifies the business question, identifies data sources, and sets success criteria
  2. Explore Data — Assesses data quality, performs exploratory analysis, and identifies patterns
  3. Analyze & Conclude — Applies analytical methods, tests hypotheses, and draws data-backed conclusions
  4. Create Report — Generates a complete report with key findings, recommendations, and limitations