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Detect outdated version references and update knowledge base metadata.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The skill automates the maintenance of AI knowledge bases by detecting outdated version references and propagating updates across the toolkit.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current AI model, framework, and gateway version references against a central VERSION-TRACKING.md baseline to highlight outdated entries and produce a change report for repository updates.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.