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.