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jkfee
jkfeeCOMMUNITY
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meta-optimize

Analyze ARIS usage logs and propose minimal diffs for SKILL.md optimizations.

Updated Apr 29, 2026
Search Tags:#workflow#logs#review#optimize#experiments#harness#ARIS
One-click install
npx skills add https://github.com/jkfee/Auto-Research --skill meta-optimize-jkfee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-optimize
Source: https://github.com/jkfee/Auto-Research/tree/main/skills/meta-optimize
Command: npx skills add https://github.com/jkfee/Auto-Research --skill meta-optimize-jkfee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Log-driven HARNESS optimization: review and improve prompt templates, default parameters, and workflow order
  • Patch generation: produce minimal diffs with explanations to guide safe changes
  • Cross-model review: route proposals through an automated reviewer gate before application

Quick Start

Run /meta-optimize when you want to review and patch ARIS Skill definitions based on usage data.

Frequently Asked Questions about meta-optimize

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

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

Optimizing workflow prompts involves analyzing ARIS usage logs from .aris/meta/events.jsonl to identify adjustments for prompts, defaults, and workflow sequencing, generating minimal diffs to guide safe changes.

What is log-driven harness optimization for ARIS skills?▼

Log-driven harness optimization reviews ARIS usage logs to improve prompt templates, default parameters, and workflow order, using event data to propose specific patches to SKILL.md files and reviewer prompts.

Do I need a minimum amount of event logging data to optimize ARIS skills?▼

Optimizing ARIS skills requires active event logging and meeting a minimum data threshold; without sufficient usage data in the logs, the system cannot generate accurate patches or reviewer scores.

How are optimization patches applied to ARIS SKILL.md files?▼

Optimization patches are applied as minimal diffs with explanations and reviewer scores, routed through an automated cross-model reviewer gate before application to ensure safe changes to SKILL.md files.

Can I analyze multiple ARIS skills at once to adjust workflow sequencing?▼

You can analyze multiple ARIS skills simultaneously using the .aris/meta/events.jsonl log file, identifying necessary adjustments to workflow sequencing and default parameters across your skill set.

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