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meta-optimize

Analyze ARIS usage logs and propose optimizations for SKILL.md files, reviewer prompts, and workflow defaults.

Updated Jun 7, 2026
Search Tags:#meta-learning#SKILL.md#ARIS#harness optimization#usage log analysis
One-click install
npx skills add https://github.com/czh-ee-2023/zotero-aris --skill meta-optimize-czh-ee-2023
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-optimize
Source: https://github.com/czh-ee-2023/zotero-aris/tree/main/.claude/skills/meta-optimize
Command: npx skills add https://github.com/czh-ee-2023/zotero-aris --skill meta-optimize-czh-ee-2023

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash, Read, Grep, Glob, mcp__codex__codex, mcp__codex__codex-reply, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill analyzes ARIS usage logs and proposes optimizations to SKILL.md files, reviewer prompts, and workflow defaults to enhance ARIS's efficiency and user experience.

Core Features & Use Cases

  • Usage Log Analysis: Analyze accumulated usage logs to identify common patterns, failures, and user interventions.
  • Optimization Proposals: Generate concrete optimization proposals based on data-driven insights.
  • Patch Generation: Create minimal diffs for SKILL.md files, reviewer prompts, and workflow defaults to improve the harness.

Quick Start

Run the meta-optimize skill to propose optimizations for the ARIS harness components.

Frequently Asked Questions about meta-optimize

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

FAQPage Schema
How do I analyze ARIS usage logs to optimize workflow defaults?▼

You can analyze ARIS usage logs to optimize workflow defaults by running the meta-optimize skill, which identifies common patterns, failures, and user interventions to generate concrete optimization proposals.

What is ARIS harness optimization based on usage data analysis?▼

ARIS harness optimization is the process of analyzing accumulated usage logs to propose minimal diffs for SKILL.md files, reviewer prompts, and workflow defaults, enhancing ARIS efficiency and user experience.

Can I use meta-optimize to generate patches for SKILL.md files?▼

Yes, meta-optimize generates minimal diffs and patches for SKILL.md files, reviewer prompts, and workflow defaults based on data-driven insights extracted from ARIS usage logs.

What's the best way to improve reviewer prompts using ARIS usage patterns?▼

The best way to improve reviewer prompts is to analyze ARIS usage logs for failures and user interventions, then apply the data-driven optimization proposals generated by meta-optimize to refine the prompts.

Do I need Bash and Grep tools to analyze ARIS usage logs for optimization?▼

Yes, meta-optimize relies on Bash, Read, Grep, Glob, and codex MCP tools to parse ARIS usage logs and generate optimization proposals for harness components.

Why should I optimize SKILL.md files with usage log analysis instead of manual review?▼

Optimizing SKILL.md files with usage log analysis identifies actual usage patterns, failures, and user interventions, providing data-driven insights for targeted improvements rather than relying on manual assumptions.

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