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data-explorer

Query and refine Adology content with filters and export to CSV, JSONL, or TXT.

2|1|Updated Apr 23, 2026
Search Tags:#analysis#data#filter#export#explore#knowledge-set
One-click install
npx skills add https://github.com/adologyai/content-intelligence-plugin --skill data-explorer-adologyai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-explorer
Source: https://github.com/adologyai/content-intelligence-plugin/tree/main/skills/data-explorer
Command: npx skills add https://github.com/adologyai/content-intelligence-plugin --skill data-explorer-adologyai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Guides users to efficiently query, filter, and export data from Adology content, reducing manual data wrangling and speeding insights.

Core Features & Use Cases

  • Data exploration with field and label selections to tailor results
  • Flexible exporting in CSV, JSONL, or TXT for dashboards and reports
  • Quick analysis patterns across knowledge sets, brands, and platforms

Quick Start

Filter and export the dataset by selecting fields, applying filters, and choosing CSV or JSONL output.

Frequently Asked Questions about data-explorer

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

FAQPage Schema
How do I filter and export knowledge-set data to CSV?▼

Filter and export knowledge-set data to CSV by applying multi-criteria filters and selecting specific item fields. You can tailor results and output them in CSV format for your reports or dashboards.

What is the best way to explore and refine data from knowledge sets?▼

The best way to explore and refine data from knowledge sets is by using multi-criteria filters and field-level controls. This allows you to quickly analyze patterns across brands and platforms before exporting.

Can I select specific item and label fields when exporting data?▼

Yes, you can select specific item and label fields when exporting data using the fields and labelFields parameters. Use list_labels to discover available dimensions before tailoring your output.

What file formats are supported for exporting filtered data?▼

Supported file formats for exporting filtered data include CSV, JSONL, and TXT. This flexibility allows you to seamlessly integrate exported results into your existing dashboards or reports.

Does data exploration require any external dependencies?▼

Data exploration does not require external dependencies. It operates independently to query Adology content, apply filters, and export results directly.

How do I discover available dimensions before applying filters to my dataset?▼

Discover available dimensions before applying filters by using the list_labels function. This helps you identify all label fields you can use to refine your dataset exploration.

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