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self-improving-conversation

Capture dialogue learnings into structured markdown logs for improvement.

Updated Apr 13, 2026
Search Tags:#learnings#promotion#logbook#conversational-improvement#tone-mismatch#context_loss
One-click install
npx skills add https://github.com/jose-compu/self-improving-skills --skill self-improving-conversation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improving-conversation
Source: https://github.com/jose-compu/self-improving-skills/tree/main/self-improving-conversation
Command: npx skills add https://github.com/jose-compu/self-improving-skills --skill self-improving-conversation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill captures dialogue learnings, tone mismatches, escalation failures, and conversation quality issues to fuel continuous improvement across projects.

Core Features & Use Cases

  • Log and categorize conversational learnings into markdown logs (LEARNINGS.md, DIALOGUE_ISSUES.md, FEATURE_REQUESTS.md) for later analysis.
  • Promote proven patterns to project memories (SOUL.md, AGENTS.md, TOOLS.md) and extract reusable skills.
  • Integrate with OpenClaw/OpenAI-style agents via recommended workflows and hook-enabled reminders for logging.

Quick Start

Create the .learnings directory if it does not exist, then start capturing dialogue learnings with the activator hook.

Frequently Asked Questions about self-improving-conversation

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

FAQPage Schema
How do I log conversation quality issues like tone mismatches and hallucinations?▼

To log conversation quality issues like tone mismatches and hallucinations, you capture dialogue learnings into structured markdown files such as DIALOGUE_ISSUES.md and LEARNINGS.md for later analysis.

What is the best way to turn agent conversation logs into continuous improvements?▼

Turning agent conversation logs into continuous improvements involves identifying dialogue learnings across multi-turn dialogues and promoting proven patterns to project memories like SOUL.md, AGENTS.md, or TOOLS.md.

How do I set up a learning logbook for AI agent escalations and context loss?▼

Setting up a learning logbook for AI agent escalations and context loss requires creating a .learnings directory and using an activator hook to start capturing dialogue learnings with a frontmatter-driven schema.

Can I integrate conversation learnings with OpenClaw hooks?▼

You can integrate conversation learnings with OpenClaw hooks through recommended workflows that provide hook-enabled reminders for logging dialogue issues and escalation failures directly into your logbook.

How do you promote captured dialogue patterns to reusable agent memory files?▼

To promote captured dialogue patterns to reusable agent memory files, you apply proven learnings from .learnings/* files into SOUL.md, AGENTS.md, or TOOLS.md and extract reusable skills for future context.

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