technology-survey

Survey and evaluate tools, libraries, and techniques for KR capabilities.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/rayanino/kr --skill technology-survey
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: technology-survey
Source: https://github.com/rayanino/kr/tree/main/.claude/skills/technology-survey
Command: npx skills add https://github.com/rayanino/kr --skill technology-survey

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps avoid reinventing the wheel by systematically surveying existing tools, libraries, and techniques before implementing new engine features or custom code.

Core Features & Use Cases

  • Tool Discovery: Identifies relevant software and methodologies for a given capability.
  • Comparative Analysis: Evaluates candidates based on relevance, support, maturity, and integration effort.
  • Resource Update: Automatically updates reference/RESOURCES.md with survey findings.
  • Use Case: Before building a custom Arabic OCR solution, use this Skill to find and evaluate existing OCR tools that support Arabic, ensuring you leverage the best available technology.

Quick Start

Survey available tools for extracting text from scanned Arabic PDF pages.

Frequently Asked Questions about technology-survey

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

FAQPage Schema
How do I survey existing tools for Arabic NLP and OCR tasks?

To survey existing tools for Arabic NLP and OCR, this Skill systematically identifies and evaluates software libraries based on relevance, support, and maturity. It requires a structured search protocol to compare available techniques.

What is the best way to evaluate libraries before implementing knowledge graph integration?

The best way to evaluate libraries for knowledge graph integration is using a comparative analysis of relevance, support, and integration effort. This approach helps you identify optimal solutions and avoid reinventing the wheel.

How does tool discovery work for scholarly text analysis and vector search?

Tool discovery for scholarly text analysis and vector search works by systematically surveying existing techniques and software. It updates reference documentation with findings to inform your implementation decisions.

Do I need to manually track my technology survey findings for Arabic OCR?

You do not need to manually track technology survey findings for Arabic OCR. The Skill automatically updates the reference documentation with evaluated candidates and survey results.

When should I use a library evaluation protocol instead of building custom code?

You should use a library evaluation protocol instead of building custom code when adding new engine features. It helps you leverage existing, mature technology for capabilities like Arabic NLP and OCR before reinventing the wheel.