How do I install the Dct Peek skill?

Run npx skillmds@latest add tomevault-io/dct-peek in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Dct Peek safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Dct Peek?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Dct Peek free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dct Peek?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dct Peek by tomevault-io — Agent Skill

Name: Dct Peek
Author: tomevault-io

Dct Peek

Use this skill when the user wants to preview or inspect the contents of a data file (CSV, JSON, NDJSON, Parquet). Triggers include "show me the data", "preview this file", "what's in this csv", "look at the first rows", "sample the data", or when needing to understand data structure before processing. This is often the first step before other data operations.

tomevault-io Updated Sep 17, 2026

File contents

DCT Peek - Preview File Contents

Preview the first N rows of any supported flat data file to understand its structure and content.

When to Use

Use this skill as the first step when working with unfamiliar data files:

Before running transformations or analysis
To verify file format and structure
To check data types and column names
To sample data for quick inspection

Installation

which dct || go build -o dct && chmod +x ./dct

Usage

dct peek <file> [flags]

Flags

-n, --lines <number>: Number of lines to display (default: 10)
-o, --output <file>: Output to file instead of stdout

Examples

Preview default 10 lines:

dct peek data.csv

Preview specific number of lines:

dct peek large.parquet -n 5

Save preview to CSV:

dct peek data.json -o preview.csv

Quick check if file is readable:

dct peek data.csv -n 1

Output Format

The output displays a formatted table showing:

Column names (header row)
Data types (second row)
Data rows (up to N rows)

Example:

╭──────┬────────┬───────╮
│  id  │  name  │ price │
│BIGINT│VARCHAR │DOUBLE │
│──────│────────│───────│
│  1   │  Alice │ 10.99 │
│  2   │   Bob  │ 24.50 │
╰──────┴────────┴────────╯

Best Practices

Always peek first when working with new data files
Use -n 1 to quickly verify a file is readable before processing
Use -o to save samples for documentation or testing
Check the data types row to understand the schema
Verify column names match expectations

Related Skills

After peeking, you may want to use:

dct-profile: For detailed data quality analysis
dct-infer: To generate SQL schema from the data
dct-diff: To compare with another file

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: dct-peekdescription: Use this skill when the user wants to preview or inspect the contents of a data file (CSV, JSON, NDJSON, Parquet). Triggers include "show me the data", "preview this file", "what's in this csv", "look at the first rows", "sample the data", or when needing to understand data structure before processing. This is often the first step before other data operations.---# DCT Peek - Preview File ContentsPreview the first N rows of any supported flat data file to understand its structure and content.## When to UseUse this skill as the first step when working with unfamiliar data files:- Before running transformations or analysis- To verify file format and structure- To check data types and column names- To sample data for quick inspection## Installation```bashwhich dct || go build -o dct && chmod +x ./dct```## Usage```bashdct peek <file> [flags]```## Flags- `-n, --lines <number>`: Number of lines to display (default: 10)- `-o, --output <file>`: Output to file instead of stdout## ExamplesPreview default 10 lines:```bashdct peek data.csv```Preview specific number of lines:```bashdct peek large.parquet -n 5```Save preview to CSV:```bashdct peek data.json -o preview.csv```Quick check if file is readable:```bashdct peek data.csv -n 1```## Output FormatThe output displays a formatted table showing:- Column names (header row)- Data types (second row)- Data rows (up to N rows)Example:```╭──────┬────────┬───────╮│ id │ name │ price ││BIGINT│VARCHAR │DOUBLE ││──────│────────│───────││ 1 │ Alice │ 10.99 ││ 2 │ Bob │ 24.50 │╰──────┴────────┴────────╯```## Best Practices- **Always peek first** when working with new data files- Use `-n 1` to quickly verify a file is readable before processing- Use `-o` to save samples for documentation or testing- Check the data types row to understand the schema- Verify column names match expectations## Related SkillsAfter peeking, you may want to use:- `dct-profile`: For detailed data quality analysis- `dct-infer`: To generate SQL schema from the data- `dct-diff`: To compare with another file---> Converted and distributed by [TomeVault](https://tomevault.io/claim/andrew-a-hale) — claim your Tome and manage your conversions.

Frequently asked questions