Guidance on reading, parsing, and processing various file formats (CSV, JSON, YAML) commonly used in legal and compliance tasks
Scanned 9/11/2026
Install to Claude Code
npx -y skills add gtynnn060110-hash/continual-skill-bench-final --skill file-operations --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: file-operations
description: Guidance on reading, parsing, and processing various file formats (CSV, JSON, YAML) commonly used in legal and compliance tasks
---
# File Operations Skill
This skill provides guidance on reading, parsing, and processing various file formats commonly used in legal and compliance tasks.
## Available Sub-skills
### [CSV Processing](csv-processing.md)
Techniques for reading, parsing, and analyzing CSV files. Useful for:
- Processing transaction records
- Analyzing compliance data
- Extracting structured information from tabular data
### [JSON/YAML Processing](json-yaml-processing.md)
Methods for parsing and manipulating JSON and YAML files. Useful for:
- Reading configuration files
- Processing structured data formats
- Extracting and transforming nested data
### [Data Transformation](data-transformation.md)
Strategies for converting between file formats and transforming data structures. Useful for:
- Converting between CSV, JSON, and other formats
- Cleaning and normalizing data
- Aggregating information from multiple files
### [DOCX Processing](docx-processing.md)
Techniques for reading, extracting, and summarizing DOCX files. Useful for:
- Parsing contracts and policies
- Extracting headings, clauses, and tables
- Cleaning text for downstream analysis
### [XLSX Processing](xlsx-processing.md)
Methods for reading and analyzing Excel workbooks. Useful for:
- Reading multi-sheet financial models
- Validating required columns
- Computing aggregates and checks
### [XML Processing](xml-processing.md)
Approaches for parsing and validating XML files. Useful for:
- Handling structured legal filings
- Extracting tagged fields
- Converting XML to JSON or tables
## Quick Start
1. Identify the file format you need to process (CSV, JSON, YAML, etc.)
2. Refer to the appropriate sub-skill for detailed techniques
3. Use the provided code examples as templates for your implementation
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