skill-improver

Name: skill-improver
Availability: InStock
Author: jac007x

Analyzes passive session signals to generate actionable improvement proposals for skill library health.

Updated Mar 18, 2026

Search Tags:#retrospective #proposals #privacy #continuous-improvement #skill-library #signal-analysis #maturity-tracking

Ready to run

npx skills add https://github.com/jac007x/CheatCodes-Skill-Library --skill skill-improver-jac007x

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-improver
Source: https://github.com/jac007x/CheatCodes-Skill-Library/tree/main/skill-improver
Command: npx skills add https://github.com/jac007x/CheatCodes-Skill-Library --skill skill-improver-jac007x

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill Improver provides a structured, non-intrusive mechanism to observe session flows and surface concrete improvement proposals without requiring user feedback, enabling library health and evolution over time.

Core Features & Use Cases

Passive observation: logs signals across sessions to identify friction, abandonment, and flow issues.
Proposal generation: surfaces structured improvement proposals for public SKILL.md updates and private maturity tracking.
Maturity orchestration: supports private-to-public promotion and demotion workflows based on data.

Quick Start

Activate Skill Improver to begin passive observation and surface improvement proposals after each session.

Frequently Asked Questions about skill-improver

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

FAQPage Schema

How do I identify skill improvement opportunities without requiring user feedback?▼

To identify skill improvement opportunities without user feedback, use passive session signal analysis to detect friction, abandonment, and flow issues. This logs passive observation data to automatically surface concrete proposals for skill quality elevation.

What is continuous improvement for skill library health and how does it work?▼

Continuous improvement for skill library health works by observing session flows to surface structured improvement proposals. It analyzes passive signals to generate actionable updates for public SKILL.md files and private maturity tracking, enabling library evolution.

How do I generate actionable proposals from session abandonment signals?▼

To generate actionable proposals from session abandonment signals, activate passive observation across your skill sessions. It analyzes friction and flow data to automatically produce sanitized proposals for public SKILL.md updates and private maturity tracking.

Does passive skill signal analysis store user data privately?▼

Yes, passive skill signal analysis stores insights privately. It requires no user prompts and produces only sanitized proposals for public SKILL.md updates, while maintaining private maturity tracking for internal library health.

Can I use maturity tracking to manage private-to-public skill promotion workflows?▼

Yes, you can use maturity tracking to manage private-to-public skill promotion and demotion workflows. It leverages data from passive session signals to orchestrate skill maturity and library health evolution.