Knowledge Updater

Detect outdated version references and update knowledge base metadata.

1|Updated Jan 5, 2026
One-click install
npx skills add https://github.com/frankxai/ai-architect --skill knowledge-updater
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Knowledge Updater
Source: https://github.com/frankxai/ai-architect/tree/main/skills/knowledge-updater
Command: npx skills add https://github.com/frankxai/ai-architect --skill knowledge-updater

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill automates the maintenance of AI knowledge bases by detecting outdated version references and propagating updates across the toolkit.

Core Features & Use Cases

  • Automated version discovery: scans model, agent framework, frontend, and gateway version references.
  • Version delta tracking: compares against a central VERSION-TRACKING.md and highlights changes.
  • Automated metadata updates: updates SKILL.md and CONTEXT.md changelogs when changes occur.

Quick Start

Run the knowledge updater to scan current versions and generate a change report, then apply updates to the repository.

Frequently Asked Questions about Knowledge Updater

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

FAQPage Schema
How do I automate updating version references in my AI knowledge base?

Automating AI knowledge base updates involves scanning model, agent framework, frontend, and gateway version references against a central VERSION-TRACKING.md file, then applying detected changes to metadata and changelogs automatically.

What is version delta tracking for AI model documentation?

Version delta tracking compares current AI model, framework, and gateway version references against a central VERSION-TRACKING.md baseline to highlight outdated entries and produce a change report for repository updates.

How do I keep SKILL.md and CONTEXT.md changelogs updated when AI model versions change?

Keeping SKILL.md and CONTEXT.md changelogs current requires detecting version changes in AI models and agent frameworks, then automatically propagating those updates into the metadata files and changelog entries.

Can I track AI agent framework and frontend version changes without manual checks?

Tracking AI agent framework and frontend version changes without manual checks is possible by scanning references automatically, comparing against VERSION-TRACKING.md, and generating delta reports to guide updates.

What's the best way to manage change propagation across AI gateway and model version references?

Managing change propagation across AI gateway and model version references is best handled by centralizing version tracking in VERSION-TRACKING.md, detecting deltas automatically, and updating related metadata files in a single pass.

Do I need a VERSION-TRACKING.md file before automating knowledge base updates?

A VERSION-TRACKING.md file is required as the central baseline for comparison, serving as the reference point against which model, framework, frontend, and gateway version changes are detected and reported.