explore-entries

Generate shell commands to launch the directory-pipeline explorer for output directories.

17|2|Updated Feb 26, 2026

Search Tags:#automation #csv #explore #explorer #data-discovery #iiif #directory-pipeline

Ready to run

npx skills add https://github.com/hadro/directory-pipeline --skill explore-entries

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: explore-entries
Source: https://github.com/hadro/directory-pipeline/tree/main/.claude/skills/explore-entries
Command: npx skills add https://github.com/hadro/directory-pipeline --skill explore-entries

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the assembly of a ready-to-run data explorer command by inspecting an output directory and choosing the correct flags for thumbnails, color palettes, and translated variants.

Core Features & Use Cases

Inspects the output directory to detect available entries CSVs and related assets.
Builds the exact Python command to launch the interactive explorer with appropriate flags for thumbnails, palettes, and translations.
Use Case: Open the explorer for a given output folder to visually browse CSV-derived entries and their sources.

Quick Start

Provide the path to the explorer output (e.g., output/green-book-1956/) to receive the exact command to launch the HTML explorer.

Frequently Asked Questions about explore-entries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I launch a data explorer for a directory of CSV files and images?▼

To launch a data explorer, provide the path to your output directory containing entries CSVs and images. The skill inspects the folder to generate the exact shell command needed to start the interactive HTML explorer.

How does the explorer command handle multiple CSV files in one output directory?▼

When multiple CSV files exist in the output directory, the explorer launch process detects them and prompts you to select one. This ensures the generated shell command targets the correct entries CSV for your data discovery session.

Can I include thumbnails, color palettes, and IIIF manifests when launching the explorer?▼

Yes, the command generation inspects your output directory for optional palette and manifest files. It dynamically constructs the shell flags for thumbnails, color palettes, and translated variants to customize the data explorer session.

Do I need any external dependencies to introspect my output directory and build the launch command?▼

No external dependencies are required. The skill performs dependency-free introspection on your output directory to detect available entries CSVs, images, and related assets before assembling the ready-to-run Python command.

What is the best way to visually browse entries CSVs and their source images?▼

The best way to visually browse entries is using the directory-pipeline explorer. Provide an output folder path to receive a tailored Python command that launches an interactive HTML interface for browsing CSV-derived entries and sources.

Why does the generated explorer command change for different output directories?▼

The generated command changes because it dynamically constructs flags based on the specific files present. It applies robust handling of missing files, ensuring the explorer launches correctly even if thumbnails, palettes, or manifests are absent.