find

Locate posts, users, tags, and analytics in the Webmatrices production database.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/Bishwas-py/webmatrices-skills --skill find-bishwas-py
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: find
Source: https://github.com/Bishwas-py/webmatrices-skills/tree/main/skills/find
Command: npx skills add https://github.com/Bishwas-py/webmatrices-skills --skill find-bishwas-py

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Search and query the Webmatrices production database to quickly locate relevant posts, users, tags, and analytics without manual digging.

Core Features & Use Cases

  • MCP tool coverage: list_posts, search_posts_by_content, list_users, get_user_details, list_tags, get_stats.
  • Use cases include finding posts by keyword, fetching a user profile, listing top tags, or retrieving platform statistics for reporting.
  • Real-world example: imagine you need posts about a topic like "adsense" to analyze engagement; you would run a sequence of queries to pull posts, their authors, and related tags in a single view.

Quick Start

Ask me to find posts about a topic, or to retrieve a user profile, and I will run the appropriate MCP tool.

Frequently Asked Questions about find

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

FAQPage Schema
How do I search the Webmatrices database for posts containing specific keywords?

To search the Webmatrices database for posts, use the search_posts_by_content MCP tool to locate posts containing specific keywords. This natural-language query mapping retrieves relevant content without manual database digging.

What platform analytics can I retrieve using natural-language queries?

You can retrieve platform statistics using the get_stats MCP tool by asking natural-language queries. The search tool maps your request to retrieve Webmatrices production database statistics for reporting and analytics purposes.

Can I fetch user profiles and list tags from the Webmatrices production database?

Yes, you can fetch user profiles and list tags from the Webmatrices production database. The MCP tools get_user_details and list_tags map natural-language queries to inspect user profiles and browse top tags efficiently.

What is the best way to find posts about a topic and analyze user engagement?

The best way to find posts and analyze engagement is running a sequence of MCP queries. You search posts by content, pull their authors with get_user_details, and retrieve related tags in a single view for analysis.

Do I need to write SQL queries to locate content and stats in the Webmatrices database?

No, you do not need to write SQL queries to locate content and stats in the Webmatrices database. The Skill maps natural-language queries to MCP tools like list_posts and get_stats for direct retrieval.