improve-conversation

Analyze conversations to identify root causes and targeted fixes for prompts, instructions, skills, or workflows.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/saxjax/saxjaxTuner --skill improve-conversation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-conversation
Source: https://github.com/saxjax/saxjaxTuner/tree/main/.github/skills/improve-conversation
Command: npx skills add https://github.com/saxjax/saxjaxTuner --skill improve-conversation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze conversations to identify improvements for prompts, instructions, skills, or workflows when behavior doesn't match expectations or when improvement is requested.

Core Features & Use Cases

  • Auto-activates on prompts like improve, improve chat, or /improve to surface issues in conversations.
  • Provides structured quick analysis: issue identification, root-cause framing, proposed fixes, and actionable outputs.
  • Guides changes to Skills (domain-specific behavior under .github/skills/), Custom Instructions, or Agent workflows.

Quick Start

Analyze the most recent interaction to surface improvements and recommended fixes.

Frequently Asked Questions about improve-conversation

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

FAQPage Schema
How do I improve AI conversation quality when responses don't match expectations?

You can improve AI conversation quality by analyzing past interactions to identify issues, frame root causes, and apply targeted fixes to prompts, custom instructions, or agent workflows.

What is root-cause analysis for AI prompts and how does it work?

Root-cause analysis for AI prompts examines conversation failures to determine why behavior didn't match expectations, providing structured issue identification and actionable fixes to prevent recurrence.

How do I fix bad AI behavior in my custom agent workflows?

Fix bad AI behavior in custom agent workflows by analyzing the conversation to isolate the prompt or instruction causing the issue, then applying structured fixes to the specific workflow component.

Can I use conversation analysis to update domain-specific skills?

Yes, conversation analysis identifies necessary improvements and guides targeted changes to domain-specific skills, ensuring future AI interactions align with your expected behavior and instructions.

When should I use automated prompt analysis instead of manual debugging?

Use automated prompt analysis when something goes wrong in AI interactions or behavior doesn't match expectations, as it quickly surfaces issues and provides structured root-cause framing for complex workflows.