influencer-db

Execute SQL queries on a SQLite database of Israeli tech nano-influencers.

Updated Oct 24, 2025

Search Tags:#analytics #database #sqlite #query #influencer-research #israeli-tech #social-media

Ready to run

npx skills add https://github.com/shalomma/social-media-research --skill influencer-db

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: influencer-db
Source: https://github.com/shalomma/social-media-research/tree/main/.claude/skills/influencer-db
Command: npx skills add https://github.com/shalomma/social-media-research --skill influencer-db

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the complexity of managing influencer research data by providing direct SQL access to a comprehensive database of Israeli tech nano-influencers.

Core Features & Use Cases

Direct SQL Querying: Execute any SQL query using sqlite3 command-line interface with full database power.
Schema Inspection: View and analyze database structure, indexes, and table relationships.
Use Case: Imagine you need to find all Hebrew-speaking tech influencers in Tel Aviv with high engagement potential. Use this Skill to run targeted SQL queries and get immediate results.

Quick Start

Use the influencer-db skill to show me the top 5 influencers by follower count in Tel Aviv.

Frequently Asked Questions about influencer-db

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

FAQPage Schema

How do I query a SQLite database of influencers with SQL commands?▼

SQLite querying lets you run direct SQL commands against an influencer database to filter, sort, and analyze records. Use sqlite3 command-line access to execute SELECT, WHERE, and JOIN statements, retrieve results instantly, and export data as JSON for downstream analysis or reporting.

Can I find Israeli tech influencers by location and engagement metrics using SQL?▼

Yes. Execute targeted SQL queries against the influencer database schema to filter by geography, follower count, engagement rates, and tech niche. View table structure with schema inspection, then write queries to discover nano-influencers matching your criteria and export results for outreach campaigns.

What's the fastest way to inspect a SQLite database schema and table structure?▼

Schema inspection commands reveal table names, column definitions, indexes, and relationships without manual documentation. Query the database metadata to understand data structure, identify indexed fields for fast queries, and plan efficient SQL statements targeting influencer records.

Do I need database administration skills to query influencer data with SQL?▼

Direct CLI access means you work with standard SQL syntax—no specialized tools or database UI required. If you know SELECT queries and WHERE clauses, you can filter influencer records, join tables, and retrieve results. Full SQL capability handles both simple lookups and complex analysis.

How do I export influencer query results for use in other tools?▼

JSON output options let you export query results from the influencer database in structured format. Retrieve data as JSON, then import into marketing platforms, CRM systems, or analytics tools for campaign planning, list segmentation, and outreach tracking.

Can I update and track changes to influencer data in version control?▼

Version-controlled storage supports data updates within the SQLite database while maintaining historical records. Execute INSERT, UPDATE, and DELETE queries to manage influencer records, track workflow changes, and audit data modifications over time for compliance and analysis.