data-formats
OfficialDetect and parse unknown data formats
Authorvstorm-co
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Many datasets and files come in unknown or mixed formats which makes ingestion, analysis, and model loading error-prone and time-consuming; this Skill provides practical detection and parsing guidance to reliably identify and handle binary, structured text, model checkpoints, and multi-file datasets.
Core Features & Use Cases
- Format detection techniques: Inspect magic bytes, MIME type, hexdumps, and small binary samples to identify file types.
- Structured text handling: Delimiters and schema inference for CSV/TSV, safe JSON/YAML/TOML/XML parsing and encoding checks.
- Model & database files: Recognize common ML checkpoints and SQLite files and recommend safe loading approaches.
- Large and multi-file datasets: Sampling strategies, manifest discovery, and incremental processing patterns for scalable workflows.
Quick Start
Analyze the attached file, determine its format using magic bytes and a quick hexdump, and recommend a safe, step-by-step parsing approach.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-formats Download link: https://github.com/vstorm-co/pydantic-deepagents/archive/main.zip#data-formats Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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