Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
CSV Data Analyzer
Load, explore, clean, analyze, and visualize CSV data to provide statistical summaries, correlations, filtered views, and charts for insights.
skill openclawclawhub Free
Load, explore, clean, analyze, and visualize CSV data to provide statistical summaries, correlations, filtered views, and charts for insights.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- underbench2-gif
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
CSV Data Analyzer
A skill that enables Claw to load, explore, analyze, and visualize CSV datasets, providing statistical insights and answering questions about the data.
What This Skill Does
This skill equips Claw with a structured approach to CSV data analysis: Data Loading & Inspection — Read CSV files, detect column types, and display basic structure (shape, columns, sample rows) Data Cleaning — Identify and handle missing values, duplicates, and type inconsistencies Statistical Summary — Compute descriptive statistics (mean, median, mode, standard deviation, percentiles) for numeric columns Filtering & Grouping — Slice data by conditions and aggregate by categories Correlation Analysis — Find relationships between numeric variables Visualization — Generate charts (bar, line, scatter, histogram) to illustrate patterns
How to Use
Provide a CSV file and ask Claw to analyze it: "Analyze this sales data and tell me which product category has the highest revenue" "Find outliers in the temperature column of this dataset" "Create a chart showing monthly trends from this CSV" "Compare group A vs group B performance in this experiment data"
Requirements
Input must be a valid CSV file (comma-separated by default; other delimiters can be specified) Python with pandas and matplotlib should be available in the environment
Output
Summary statistics table Key insights in plain language Charts saved as PNG files when visualization is requested Cleaned dataset exported as a new CSV if data cleaning was performed
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md