aif-reference

Fetch web URLs and local files to create source-attributed knowledge references.

Updated May 16, 2026
One-click install
npx skills add https://github.com/vulikjulik/DeepLom --skill aif-reference-vulikjulik
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aif-reference
Source: https://github.com/vulikjulik/DeepLom/tree/main/.opencode/skills/aif-reference
Command: npx skills add https://github.com/vulikjulik/DeepLom --skill aif-reference-vulikjulik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill closes the knowledge gap between AI agents' training data and project-specific, external, or up-to-date documentation, eliminating inaccurate or hallucinated responses caused by missing context.

Core Features & Use Cases

  • Multi-source reference generation: Fetch web URLs, process local files, or search for content to build structured, source-attributed knowledge references.
  • Cross-skill knowledge sharing: Store references in a centralized directory accessible to all AI Factory skills for consistent, context-aware workflows.
  • Use case: Teams using custom internal APIs or niche third-party tools can create durable reference docs that remove the need to repeatedly explain context to AI assistants.

Quick Start

Use the aif-reference skill to generate a structured knowledge reference from your team's internal API documentation URL.

Frequently Asked Questions about aif-reference

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

FAQPage Schema
How do I stop AI hallucination when working with internal API documentation?

To stop AI hallucination with internal API documentation, fetch the external sources and process them into structured reference artifacts. This grounds AI responses with accurate project-specific context and source attribution.

How do I create a reusable knowledge reference from a web URL?

Create a reusable knowledge reference from a web URL by fetching the content and processing it into a structured artifact. The reference includes source attribution and version tracking for cross-skill accessibility.

What is the best way to share external documentation context across multiple AI agents?

The best way to share external documentation context across multiple AI agents is storing processed references in a centralized directory. This enables cross-skill accessibility for consistent, context-aware planning and research workflows.

Can I process local files into structured knowledge references for AI workflows?

Yes, you can process local files into structured knowledge references alongside web URLs and searched content. The system stores these references with source attribution for reuse in implementation and research tasks.

Do I need to repeatedly explain custom business documentation to AI assistants?

No, you do not need to repeatedly explain custom business documentation to AI assistants. Creating durable reference docs from niche tools or internal APIs removes this requirement by providing persistent, grounded context.