A sophisticated analytical framework that empowers AI agents to perform senior-level data investigation and strategic decision-making.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-data-analyst
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-data-analyst using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Data Analyst - AfrexAI?
The Data Analyst skill is a comprehensive methodology designed to move beyond simple data querying and into the realm of strategic business intelligence. By implementing the DICE (Define, Investigate, Communicate, Evaluate) framework, this skill ensures that every analysis conducted within Openclaw Skills answers critical business questions rather than just producing decorative charts. It focuses on finding the narrative within the numbers to drive specific, high-value actions.
This skill is tool-agnostic, providing a standardized protocol for interacting with SQL databases, spreadsheets, and CSV files. It enables AI agents to act as senior analysts who prioritize impact, data integrity, and clear communication. Integrating this into your Openclaw Skills library allows for consistent, rigorous analysis across any technical environment.
Data Analyst - AfrexAI Use Cases
- Investigating sudden changes in business KPIs like revenue drops or conversion spikes.
- Performing customer segmentation using RFM (Recency, Frequency, Monetary) modeling.
- Analyzing product retention and user behavior through cohort analysis matrices.
- Evaluating the statistical significance and business impact of A/B test results.
- Cleaning and profiling messy datasets to ensure data integrity before reporting.
How Data Analyst - AfrexAI Works
- Define the business question and decision-linkage using a structured analysis brief.
- Perform data discovery and profiling to understand granularity, quality, and distribution.
- Apply a data cleaning decision tree to handle missing values, duplicates, and outliers.
- Execute targeted analysis patterns such as time-series growth, diagnostic splits, or funnel conversions.
- Synthesize findings into the Insight Formula: Insight, Evidence, So What, and Now What.
- Close the loop by evaluating the impact of the resulting business decisions.
Data Analyst - AfrexAI Setup
To integrate this methodology into your agent environment, ensure your Openclaw Skills configuration includes the following workflow setup:
# Example setup for including the analyst framework in your project
openclaw install afrexai-data-analyst
Ensure the agent has read-only access to your primary data sources (PostgreSQL, BigQuery, or CSV directories) and that the analysis brief template is available in your workspace prompts.
Data Analyst - AfrexAI Data Schema & Taxonomy
The skill organizes its output into a structured hierarchy to ensure clarity and reproducibility within the Openclaw Skills ecosystem:
| Component | Format | Description |
|---|---|---|
| Analysis Brief | YAML | Metadata including business questions, stakeholders, and hypotheses. |
| Data Profile | Text/Table | Statistical summary of dataset health, null percentages, and cardinality. |
| Analysis Library | SQL/Code | Reusable patterns for cohort, RFM, and funnel calculations. |
| Insight Report | Markdown | The final deliverable containing executive summaries and recommendations. |
| Follow-up Log | YAML | Tracking mechanism for the results of actions taken based on the analysis. |
Data Analyst - AfrexAI Advanced Features
- The 5 Splits Method for rapid diagnostic root-cause identification across segments.
- Integrated statistical significance checking using z-test proportions for business decisions.
- Automated moving average and year-over-year growth calculation patterns.
- Rigorous spreadsheet audit checklist to identify common data entry and formula errors.
- Comprehensive A/B test design template with power analysis and guardrail metrics.
SKILL.md
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