aif-reference

Name: aif-reference
Availability: InStock
Author: Ichi

Create structured knowledge references from URLs or local documents.

Updated Aug 27, 2026

Search Tags:#documentation #ai #knowledge #references #local-files #web-fetch

Ready to run

npx skills add https://github.com/ichinya/idshka --skill aif-reference-ichinya

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aif-reference
Source: https://github.com/ichinya/idshka/tree/main/.codex/skills/aif-reference
Command: npx skills add https://github.com/ichinya/idshka --skill aif-reference-ichinya

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Managing and reusing knowledge across AI workflows is fragmented when sources are scattered across URLs and local documents. This Skill creates structured knowledge references that AI agents can reuse, ensuring consistent context and traceability.

Core Features & Use Cases

Reference creation: fetch, parse, and convert web pages or local documents into a standardized reference file.
Source attribution: preserve original sources to enable refresh and auditing.
Batch and interactive modes: handle single references or bulk processing with a guided workflow.

Quick Start

Provide one or more URLs or file paths to sources and run the skill to generate a reference in the configured references directory.

Frequently Asked Questions about aif-reference

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

FAQPage Schema

How do I create reusable knowledge references from web pages and local files?▼

To create knowledge references from web pages or local files, provide URLs or file paths to the skill. It fetches and parses external sources, producing a standardized reference file in a configured directory while preserving original source attribution for reuse.

Can I batch process multiple URLs and local documents into a single knowledge base?▼

Yes, you can batch process multiple URLs and local documents. The skill supports both interactive and batch modes, allowing you to handle single references or bulk processing through a guided workflow without duplicating existing entries.

What is the best way to ensure AI agents use consistent context from external sources?▼

The best way to ensure consistent context is by generating structured knowledge references. This skill standardizes external sources into reference files, enforcing no-duplication and size constraints while validating outputs against project rules for reliable AI agent reuse.

Does this knowledge reference tool preserve the original source URLs and file paths?▼

Yes, the knowledge reference tool preserves original source attribution such as URLs and file paths. Retaining this metadata enables future reference refreshing and auditing while ensuring traceability across AI workflows.

How do I update existing AI references without creating duplicate knowledge files?▼

To update existing AI references without duplicates, the skill applies no-duplication constraints during processing. It optionally updates existing reference files in the configured directory when you provide new or revised source URLs and local document paths.

What happens if a generated knowledge reference exceeds project size limits?▼

If a generated knowledge reference exceeds size limits, the skill enforces these constraints during validation. It checks outputs against configured project rules to prevent oversized reference files and maintain efficient local document storage.