A sophisticated analytical framework for AI agents to transform raw data into statistically sound, decision-oriented insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-analysis-litiao
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 data-analysis-litiao 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 Analysis Litiao?
Data Analysis Litiao is a high-performance skill designed for the Openclaw Skills ecosystem that shifts the focus from simple arithmetic to meaningful decision support. It provides AI agents with a rigorous methodology to analyze metrics, find patterns, and test hypotheses while maintaining an awareness of analytical pitfalls.
By prioritizing the decision-making process over raw computation, this skill ensures that every analysis answers the critical question: What would change if this analysis shows X versus Y? It bridges the gap between raw datasets and actionable business intelligence through a structured statistical approach.
Data Analysis Litiao Use Cases
- Validating A/B testing results with statistical significance and confidence intervals.
- Performing cohort analysis to identify long-term retention patterns and user behavior shifts.
- Detecting anomalies in metrics to flag unusual activity with contextual narrative.
- Conducting regression analysis to understand predictive relationships between different variables.
- Identifying and avoiding analytical biases such as survivorship bias or Simpson's Paradox in large datasets.
How Data Analysis Litiao Works
- Define the specific decision the analysis must support and identify the primary questions that would change the outcome.
- Evaluate the quality and availability of data against the required timeframe and sample size constraints.
- Select the optimal analytical approach, such as hypothesis testing, segmentation, or anomaly detection, based on the user's objective.
- Apply a statistical rigor checklist to quantify uncertainty and ensure comparison groups are fair.
- Generate insights that lead with the conclusion and include clear recommendations for next steps.
Data Analysis Litiao Setup
To deploy this skill within your environment, ensure you have the necessary Openclaw Skills framework installed and follow these steps:
openclaw install data-analysis-litiao
Once installed, the agent will automatically trigger these capabilities when it detects queries related to metrics, churn analysis, or statistical significance. No additional manual configuration is required for basic analytical workflows.
Data Analysis Litiao Data Schema & Taxonomy
The skill organizes analysis through a systematic metadata taxonomy to ensure transparency:
| Attribute | Description | Data Format |
|---|---|---|
| Hypothesis | The core assumption being tested | String |
| Sample Size (N) | The volume of data points analyzed | Integer |
| Effect Size | The practical magnitude of the result | Percentage / Range |
| Confidence Interval | The range of uncertainty for the estimate | Numeric Range |
| Bias Check | Flagged pitfalls like survivorship or p-hacking | Boolean / Metadata |
Data Analysis Litiao Advanced Features
- Multi-variant hypothesis testing with automatic adjustments for multiple comparisons.
- Time-series normalization to account for unequal calendar periods (e.g., February vs. March).
- Automated pitfall detection that identifies when aggregating percentages or survivorship bias might skew results.
- Integrated uncertainty quantification providing ranges instead of misleading point estimates.
- Decision-centric reporting that highlights limitations and potential confounders in the data.
SKILL.md
Loading
Related Openclaw Skills
Google Scholar Search
A powerful search utility for retrieving academic paper metadata, citation counts, and direct PDF links using the Semantic Scholar API.
EIA Knowledge Extractor
Extracts and structures environmental impact data from reports into standardized CSV knowledge bases.
Weather Plus
A comprehensive weather forecasting skill providing real-time data, air quality reports, and personalized clothing recommendations for any global location.
Discussion Section Architect
A specialized AI skill designed to structure, interpret, and write high-quality academic discussion sections for research reports.
Project Workflow Scheduler
A sophisticated orchestration framework that transforms complex multi-step projects into a supervised sequence of safe, isolated, and bounded cron work blocks.
Youku (优酷) Integration
An AI-driven skill for navigating Youku vast library of classic and exclusive video content.
Featured*
