self-improving-support

Log support learnings and ticket issues to Markdown files.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/jose-compu/self-improving-skills --skill self-improving-support
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: self-improving-support
Source: https://github.com/jose-compu/self-improving-skills/tree/main/self-improving-support
Command: npx skills add https://github.com/jose-compu/self-improving-skills --skill self-improving-support

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Logs and centralizes support learnings from tickets, escalations, SLA breaches, knowledge gaps, and churn signals to enable continuous improvement across support tooling and documentation.

Core Features & Use Cases

  • Logs learnings, ticket issues, and feature requests to Markdown files for post-incident analysis and trend detection.
  • Promotes broadly applicable insights to KB articles, troubleshooting trees, escalation matrices, or canned responses to shorten resolution times.
  • Detects CSAT declines and churn signals to trigger targeted process improvements in knowledge bases and tooling.

Quick Start

Create the required .learnings directory and initial log files if missing, then begin logging learnings after each support interaction using the templates provided in .learnings and examples in references.

Frequently Asked Questions about self-improving-support

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

FAQPage Schema
How do I log support learnings and ticket issues to Markdown for ongoing improvement?

To log support learnings, you record ticket issues, escalations, and SLA breaches into Markdown files using defined templates within a dedicated .learnings directory to centralize post-incident analysis and trend detection.

What is the best way to turn support learnings into KB articles and canned responses?

The best way to turn support learnings into KB articles is by promoting broadly applicable insights from logged tickets into permanent knowledge assets like troubleshooting trees, runbooks, and canned responses to shorten resolution times.

How do I detect CSAT declines and churn signals to trigger support process improvements?

You detect CSAT declines and churn signals by consistently logging ticket issues and knowledge gaps into centralized Markdown files, enabling trend detection to trigger targeted process improvements across support tooling and documentation.

Can I use Markdown templates to anonymize customer data when logging escalations?

Yes, you can use defined Markdown templates to log escalations and ticket issues while ensuring you anonymize customer data, allowing safe promotion of these support learnings to permanent knowledge assets like KB articles.

Do I need to create a specific directory structure before logging SLA breaches and knowledge gaps?

Yes, you need to create the required .learnings directory and initial log files if missing, then begin logging learnings after each support interaction using the provided templates and examples in references.

What are the limitations of using Markdown files for tracking support learnings and knowledge gaps?

The limitation of using Markdown files for tracking support learnings is that it relies on manual logging after each interaction and requires active promotion of insights to KBs and runbooks to prevent knowledge assets from becoming stale.