meta-optimize

Analyze ARIS usage logs and generate patch-ready optimizations for SKILL.md and workflows.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill meta-optimize
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-optimize
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/meta-optimize
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill meta-optimize

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes ARIS usage logs to identify opportunities to improve SKILL.md prompts, reviewer guidance, and default workflow settings, delivering patch-ready recommendations.

Core Features & Use Cases

  • Surface actionable optimization targets from usage data (which skills, commands, and parameters are most used or overridden).
  • Propose minimal, reversible patches with justifications grounded in logs.
  • Coordinate cross-skill improvements via an outer-loop harness workflow, improving reliability and efficiency.

Quick Start

Run /meta-optimize after ARIS has collected sufficient logs to generate a patch-ready optimization proposal.

Frequently Asked Questions about meta-optimize

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

FAQPage Schema
How do I optimize ARIS workflows using usage logs?▼

ARIS workflow optimization analyzes usage logs at .aris/meta/events.jsonl to identify patterns, generating patch-ready recommendations for SKILL.md prompts and workflow defaults.

What is the minimum data needed to analyze skill invocation logs?▼

Analyzing skill invocation logs requires event data located at .aris/meta/events.jsonl with a minimum of 5 skill invocations to accurately identify usage patterns and propose optimizations.

How do I generate reversible prompt patches from analytics data?▼

Prompt patches are generated from analytics data by identifying overridden parameters and proposing minimal, reversible changes to SKILL.md and reviewer guidance grounded in actual usage logs.

Can I target a specific skill for harness optimization instead of all skills?▼

Yes, the harness optimization workflow can apply across all skills or target a specific skill if specified, generating concrete optimizations for reviewer prompts and workflow defaults.

Why are my ARIS optimization recommendations not reviewer-gated?▼

ARIS optimization recommendations are strictly reviewer-gated to ensure changes are minimal and reversible, preventing unverified patches from directly modifying SKILL.md prompts or workflow defaults.