agent-performance

Validate and analyze Ollama and Claude Code agent performance with improvement recommendations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/koenvorster/Personal_project_VorstersNV --skill agent-performance-koenvorster
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-performance
Source: https://github.com/koenvorster/Personal_project_VorstersNV/tree/main/.claude/skills/agent-performance
Command: npx skills add https://github.com/koenvorster/Personal_project_VorstersNV --skill agent-performance-koenvorster

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze and improve the quality of Ollama runtime agents and Claude Code agents within the VorstersNV ecosystem, helping teams identify underperforming agents and implement concrete enhancements.

Core Features & Use Cases

  • Validation: Check Claude Code agents for correct YAML frontmatter (name in kebab-case, valid description, and required fields) and ensure model/permissions are valid.
  • Performance Analysis: Run analyses of agent performance, generate reports, and compare different agent versions to identify scoring gaps.
  • Actionable Improvements: Provide concrete improvement steps per agent to raise body, frontmatter, template, and output scores above thresholds.
  • Use Case: A platform team detects a Claude Code agent with a low score and follows the recommended steps to improve its system prompt and output formatting.

Quick Start

Run the validation and analysis workflow to compare agent performance and generate improvement recommendations.

Frequently Asked Questions about agent-performance

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

FAQPage Schema
How do I validate Claude Code agent YAML frontmatter and system prompts?

To validate Claude Code agent YAML frontmatter, run the provided validation scripts to check for kebab-case names, valid descriptions, required fields, and valid model permissions. This process enforces validation steps to ensure safe, auditable agent configurations.

What is the best way to identify low-performing Ollama runtime agents?

The best way to identify low-performing Ollama runtime agents is to analyze generated performance reports and compare different agent versions. This scoring process flags underperforming agents by evaluating their system prompts and generated outputs.

How do I generate actionable improvement recommendations for Claude Code agents?

You generate actionable improvement recommendations for Claude Code agents by running performance analyses that evaluate body, frontmatter, template, and output scores. The skill outputs concrete steps to raise scores above required thresholds.

Can I use this to compare agent versions and quantify scoring gaps?

Yes, you can use this skill to compare agent versions and quantify scoring gaps. It analyzes performance reports across both Claude Code and Ollama agents to identify specific areas needing enhancement across the agent lifecycle.

Does agent performance validation work for both Ollama and Claude Code agents?

Agent performance validation works for both Ollama runtime and Claude Code agents. The skill scopes validation across both platforms, evaluating YAML frontmatter, system prompts, and generated outputs to produce safe, auditable results.