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uac-import

Ingest and classify external prompt or specification sources into skill-like, agent-like, or config-like categories.

2|2|Updated Mar 2, 2026
Search Tags:#prompt engineering#ai development#classification#import#source ingestion#uac
One-click install
npx skills add https://github.com/medhatgalal/Core-Prompts --skill uac-import
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: uac-import
Source: https://github.com/medhatgalal/Core-Prompts/tree/main/.gemini/skills/uac-import
Command: npx skills add https://github.com/medhatgalal/Core-Prompts --skill uac-import

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of ingesting external sources, classifying their nature, and recommending the optimal AI platform for their use.

Core Features & Use Cases

  • Source Ingestion: Accepts local file paths or public URLs.
  • Deterministic Workflow: Follows a defined pipeline for analysis and classification.
  • Classification: Categorizes sources as skill-like, agent-like, config-like, or requiring manual review.
  • Surface Recommendation: Suggests the best target AI (Codex, Gemini, Claude, Kiro).
  • Modernization Guidance: Proposes areas for uplifting and packaging sources.

Quick Start

Import the local file located at '/path/to/my/spec.md' using the uac-import skill.

Frequently Asked Questions about uac-import

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

FAQPage Schema
How do I classify external prompt sources into AI skill categories?▼

To classify external prompt sources, ingest local files or public URLs, analyze content for intent, extract objective and scope, and apply semantic routing to categorize them as skill-like, agent-like, or config-like.

What is the best way to import prompt specifications from a public URL?▼

Importing prompt specifications from a public URL involves ingesting the source content, analyzing it to produce an intent summary, and performing uplift to extract objective and scope for semantic classification.

Can I use local files for AI source ingestion and classification?▼

Yes, local file paths can be ingested for AI source classification, allowing the system to analyze the content, generate an intent summary, and recommend target AI surfaces like Codex, Gemini, Claude, or Kiro.

How does semantic routing work for classifying AI specifications?▼

Semantic routing classifies AI specifications by analyzing the ingested content's intent summary and extracted scope, routing the source into skill-like, agent-like, config-like, or manual review categories.

What target AI platforms are recommended for modernizing imported specifications?▼

Target AI platforms recommended for modernizing imported specifications include Codex, Gemini, Claude, and Kiro, based on the semantic classification and intent analysis of the ingested source content.

When should I manually review ingested prompt sources instead of automated classification?▼

Manual review of ingested prompt sources is required when semantic routing cannot confidently classify the content as skill-like, agent-like, or config-like based on the extracted intent and scope.

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