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VeronikaVashkevich
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aif-reference

Create structured knowledge references from URLs and local files.

Updated Apr 17, 2026
Search Tags:#documentation#ai#reference#grounding#knowledge#local-files#web-fetch
One-click install
npx skills add https://github.com/VeronikaVashkevich/job-tracking-app --skill aif-reference-veronikavashkevich
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aif-reference
Source: https://github.com/VeronikaVashkevich/job-tracking-app/tree/main/.opencode/skills/aif-reference
Command: npx skills add https://github.com/VeronikaVashkevich/job-tracking-app --skill aif-reference-veronikavashkevich

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI systems often operate with incomplete context, making it hard to answer accurately or stay up to date. This Skill enables you to create structured knowledge references from external sources (URLs, documents, or local files) and store them in a centralized location (.ai-factory/references/) so AI agents can ground responses in verifiable sources.

Core Features & Use Cases

  • Collect sources from URLs and local files and generate standardized reference documents.
  • Update references over time while preserving the original creation date, and expose header metadata (Source, Created, Updated) for refresh.
  • Serve as a shared knowledge base for /aif-plan, /aif-grounded, and other AI Factory skills to consult during planning and execution.

Quick Start

Create a new knowledge reference from the provided URLs or local files and save it to .ai-factory/references/<name>.md.

Frequently Asked Questions about aif-reference

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

FAQPage Schema
How do I ground AI responses with external knowledge sources?▼

You can ground AI agents by creating structured knowledge references from external URLs or local files. These references are stored in a centralized location, allowing AI to consult verifiable sources and answer accurately with complete context.

How do I create a structured knowledge reference from a URL or local file?▼

Provide the system with URLs or local files to generate standardized reference documents. The interactive flow handles naming and conflict resolution, saving the output as markdown files with Source, Created, and Updated metadata headers for future reuse.

Can I update an existing knowledge reference when the source document changes?▼

Yes, you can update existing knowledge references using the designated update workflow. This process refreshes the content from the original source while preserving the original creation date and updating the metadata header to reflect the latest changes.

What is the best way to maintain a shared knowledge base for AI planning and execution?▼

Store structured knowledge references in a centralized directory to serve as a shared knowledge base. This allows planning and execution skills to consult the same verifiable sources, ensuring consistent and accurate AI responses across different tasks.

Does this knowledge grounding approach work with both web URLs and local files?▼

Yes, this knowledge grounding approach supports both web URLs and local files. You can fetch external web content or read local documents to generate standardized reference documents, making it flexible for various knowledge management workflows.

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