improve

Analyze the current conversation and patch ae skills with version bumps.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/Aradotso/ara.engineer --skill improve-aradotso
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve
Source: https://github.com/Aradotso/ara.engineer/tree/main/skills/improve
Command: npx skills add https://github.com/Aradotso/ara.engineer --skill improve-aradotso

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically analyzes the current conversation to identify learnings and patches ae skills accordingly, enabling continuous improvement of the agent.

Core Features & Use Cases

  • Analyze conversations to identify what worked, what didn't, and what should be changed in skills and CLI workflows.
  • Patch skills in the repository (SKILL.md) and apply version bumps, enabling continuous improvement across the toolchain.
  • End-to-end workflow: commit minimal, surgical updates to skills and related CLI sources for next-session gains.

Quick Start

Run the end-of-session patch workflow to analyze the latest interaction and apply a minimal set of skill updates.

Frequently Asked Questions about improve

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

FAQPage Schema
How do I automate skill patching and versioning after a CLI session?

Skill patching analyzes the current conversation to identify learnings, then applies surgical updates and version bumps to SKILL.md and CLI sources. It commits minimal changes to the repository for continuous development automation.

How does learn-from-session automation work for agent development?

Learn-from-session automation reviews what worked and what failed in the latest interaction, then patches relevant skill definitions and CLI code accordingly. This enables the agent to self-improve for next-session gains.

Do I need repository access to use self-improvement workflows?

Yes, self-improvement workflows require repository access to edit SKILL.md files and CLI code directly. The tool bumps patch versions and commits changes, necessitating write permissions to the development repository.

What is the best way to continuously improve agent skills across a toolchain?

The best way to continuously improve agent skills is running an end-of-session patch workflow that analyzes interactions and applies minimal updates to skill definitions. This bumps versions and commits changes for next-session gains.

What are the limitations of automated session analysis for skill updates?

Automated session analysis is limited to identifying learnings from the current conversation and applying minimal patches to SKILL.md and CLI sources. It requires direct repository access and cannot function without explicit conversation context.