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mhawthorne
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gza-log-insights

Analyze gza execution logs to identify recurring anti-patterns and inefficiencies.

11|1|Updated Jan 6, 2026
Search Tags:#workflow#logs#analysis#patterns#cost#gza
One-click install
npx skills add https://github.com/mhawthorne/gza --skill gza-log-insights
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gza-log-insights
Source: https://github.com/mhawthorne/gza/tree/main/src/gza/skills/gza-log-insights
Command: npx skills add https://github.com/mhawthorne/gza --skill gza-log-insights

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes gza execution logs to identify recurring anti-patterns, waste, and opportunities to improve agents and workflows.

Core Features & Use Cases

  • Pattern discovery: aggregates log data across runs to surface common inefficiencies and failure modes.
  • Cost-aware optimization: highlights expensive operations and suggests improvements to reduce compute and time.
  • Use Case: After a batch of tasks, produce recommendations to update AGENTS.md prompts or workflow steps.

Quick Start

Run the log analysis across available gza logs to surface recurring anti-patterns and recommended workflow changes.

Frequently Asked Questions about gza-log-insights

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

FAQPage Schema
How do I analyze JSONL execution logs to find workflow inefficiencies?▼

Log analysis for agent optimization identifies recurring anti-patterns and inefficiencies by parsing JSONL execution logs and aggregating tool usage across runs. It surfaces failure modes and waste to drive structured improvements in prompts and workflow steps.

What is the best way to reduce compute costs from expensive agent operations?▼

Cost-aware log analysis highlights expensive operations within your execution logs and suggests actionable improvements to reduce compute and time. It aggregates run data to pinpoint where computational waste occurs and recommends specific workflow changes.

How do I update AGENTS.md prompts based on execution log patterns?▼

You can update AGENTS.md prompts by running log analysis across available execution runs to produce actionable recommendations. The analysis outputs structured guidance that identifies recurring anti-patterns suitable for agent-driven iterations and prompt refinement.

Can I use log analysis to discover recurring anti-patterns across multiple agent runs?▼

Yes, log analysis aggregates data across multiple execution runs to surface common inefficiencies and recurring failure modes. It parses JSONL logs to evaluate tool outcomes and outputs a structured summary of discovered anti-patterns.

Does log pattern discovery work without external dependencies or components?▼

Yes, log pattern discovery works without external dependencies or components. It directly parses JSONL execution logs to aggregate tool usage and outcomes, requiring no additional modules to generate structured summaries and workflow guidance.

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