self-improve

Analyze recent DAGI sessions and generate improvement plans with owners and verification criteria.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/ag3nt3154/Driverless_AGI --skill self-improve-ag3nt3154
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: self-improve
Source: https://github.com/ag3nt3154/Driverless_AGI/tree/main/.dagi/skills/self-improve
Command: npx skills add https://github.com/ag3nt3154/Driverless_AGI --skill self-improve-ag3nt3154

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze recent DAGI sessions to surface improvement opportunities and minimize recurring friction.

Core Features & Use Cases

  • Session analysis scans the latest DAGI sessions to surface actionable signals.
  • Plan generation converts findings into structured improvement plans and backlog items.
  • Backlog integration updates DAGI root TODO and planning artifacts for continuous enhancement.

Quick Start

Run a self-improvement cycle to analyze the last five sessions and generate actionable plans.

Frequently Asked Questions about self-improve

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

FAQPage Schema
How do I analyze recent sessions to find improvement opportunities?

Session analysis scans the last five substantive DAGI sessions to extract compact signals and catalog concrete findings. It surfaces actionable improvement opportunities by reviewing recent logs and minimizing recurring friction automatically.

How do I generate actionable improvement plans from session logs?

Plan generation converts extracted session findings into structured improvement plans and backlog items. These entries include clear owners, expected impact, and verification criteria to ensure continuous enhancement of your workflow.

What is automated introspection for software engineering workflows?

Automated introspection analyzes recent DAGI sessions to surface improvement opportunities without manual review. It defines scope to the last five sessions, extracts signals, and catalogs concrete findings to minimize recurring friction.

Can I use this to update my root TODO and planning artifacts?

Yes, backlog integration updates DAGI root TODO and planning artifacts directly. This ensures continuous enhancement by automatically syncing generated improvement plans and backlog entries into your existing tracking system.

Do I need any specific dependencies to run a self-improvement cycle?

No external dependencies are required to run a self-improvement cycle. The tool operates independently to analyze the last five sessions and generate actionable plans with clear owners and verification criteria.

What's the best way to minimize recurring friction in DAGI sessions?

The best way to minimize recurring friction is running an automated self-improvement cycle. It analyzes recent sessions, extracts compact signals, and produces actionable improvement plans with clear owners and verification criteria.