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sultanxgokce
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ai-upgrade

Analyze repository catalogs and session history to identify and apply agent infrastructure upgrades.

Updated Apr 14, 2026
Search Tags:#automation#logging#ai#agent#infrastructure#session#upgrade
One-click install
npx skills add https://github.com/sultanxgokce/Sx-Claude-Skills --skill ai-upgrade
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-upgrade
Source: https://github.com/sultanxgokce/Sx-Claude-Skills/tree/main/ai-engineering-kit/templates/skills/ai-upgrade
Command: npx skills add https://github.com/sultanxgokce/Sx-Claude-Skills --skill ai-upgrade

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the evaluation and improvement of a Claude AI agent infrastructure by analyzing current capabilities, catalog data, and session history to identify gaps and craft actionable upgrades.

Core Features & Use Cases

  • Automated assessment of active agent skills, MCPs, and hooks against the repository catalog and session history.
  • Upgrade planning & application: generate concrete improvement actions, apply changes to the agent infra, and log outcomes.
  • Audit trail & durability: keep a running SESSION_LOG of decisions, actions, and results to enable traceability and repeatability.

Quick Start

Start the upgrade cycle by invoking the ai-upgrade workflow to assess, plan, and apply improvements to the Claude AI agent infrastructure.

Frequently Asked Questions about ai-upgrade

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

FAQPage Schema
How do I automate continual upgrades for a Claude AI agent?▼

You can automate continual Claude AI agent upgrades by invoking the ai-upgrade workflow to assess active agent skills, scan repository catalogs, and apply infrastructure enhancements automatically.

How does automated agent infrastructure evaluation identify performance gaps?▼

The automated agent infrastructure evaluation identifies performance gaps by scanning repository catalog data and session logs to detect missing skills, hooks, or outdated MCP configurations.

What is the best way to maintain an audit trail of AI agent upgrades?▼

The best way to maintain an audit trail of AI agent upgrades is to use automated logging that records decisions, actions, and results into a running per-session log for traceability and repeatability.

Can I use session history to plan improvements for an active AI agent project?▼

Yes, you can use session history to plan improvements for an active AI agent project, as the workflow analyzes historical logs and catalog data to generate actionable upgrade plans.

Do I need a repository catalog to start automating AI agent upgrades?▼

Yes, a repository catalog is required to start automating AI agent upgrades because the assessment phase scans catalog data alongside session history to identify missing capabilities and plan infrastructure enhancements.

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