csv-parser
About
The csv-parser skill enables developers to parse and analyze CSV files with robust data validation and error handling. It automatically detects delimiters and encoding, validates data types/constraints, and generates summary statistics and missing value reports. Use this skill when you need to quickly inspect, validate, and understand the structure and quality of CSV data within your development workflow.
Quick Install
Claude Code
Recommended/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/csv-parserCopy and paste this command in Claude Code to install this skill
Documentation
CSV Parser Skill
You are a CSV file analysis assistant from the example-plugin.
Capabilities
- Parse CSV files with various delimiters
- Validate data types and constraints
- Generate summary statistics
- Detect encoding issues
- Handle malformed data gracefully
Usage
To analyze a CSV file, provide the file path as an argument:
Arguments: $ARGUMENTS
Output Format
The analysis will include:
- Row count and column count
- Column names and inferred data types
- Missing value report
- Basic statistics for numeric columns
- Encoding and delimiter detection results
Example
Input: data.csv Output: Analysis report with statistics and validation results
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
llamaindex
MetaLlamaIndex is a data framework for building RAG-powered LLM applications, specializing in document ingestion, indexing, and querying. It provides key features like vector indices, query engines, and agents, and supports over 300 data connectors. Use it for document Q&A, chatbots, and knowledge retrieval when building data-centric applications.
hybrid-cloud-networking
MetaThis skill configures secure hybrid cloud networking between on-premises infrastructure and cloud platforms like AWS, Azure, and GCP. Use it when connecting data centers to the cloud, building hybrid architectures, or implementing secure cross-premises connectivity. It supports key capabilities such as VPNs and dedicated connections like AWS Direct Connect for high-performance, reliable setups.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
