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self-learning

Log corrective events and extract behavioral patterns into actionable rules.

5|1|Updated Apr 1, 2026
Search Tags:#automation#logging#self-improvement#ai-assistant#pattern-detection#behavioral-rules
One-click install
npx skills add https://github.com/netanel-abergel/pa-skills --skill self-learning-netanel-abergel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-learning
Source: https://github.com/netanel-abergel/pa-skills/tree/main/skills/self-learning
Command: npx skills add https://github.com/netanel-abergel/pa-skills --skill self-learning-netanel-abergel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The self‑learning skill continuously captures mistakes, corrections, and successes, turning them into structured logs and actionable behavioral rules so the AI assistant improves over time.

Core Features & Use Cases

  • Event Logging: Immediate markdown logging of corrections, errors, and best practices.
  • Pattern Detection: Automated nightly scans to identify recurring issues and promote them to HOT.md.
  • Rule Promotion: Moves stable rules to SOUL.md after a clean period, ensuring lasting behavior change.
  • Automation: Cron‑driven nightly review and monthly reporting scripts keep the learning loop running without manual effort.

Quick Start

Ask the assistant to run the self‑learning skill to log an event and automatically update its behavioral rules.

Frequently Asked Questions about self-learning

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

FAQPage Schema
How do I log corrective events to improve AI assistant performance?▼

Event logging captures corrections and errors as structured markdown files during daily AI assistant operations. The system then extracts behavioral patterns from these logs to generate actionable improvement rules.

How does pattern detection work for recurring AI assistant errors?▼

Automated nightly scripts scan logged corrective events to identify recurring AI assistant errors and behavioral issues. Detected patterns are then promoted to HOT.md to trigger immediate behavioral adjustments.

What is the best way to automate behavioral rule updates for an AI assistant?▼

Automating behavioral rule updates involves cron-driven nightly review scripts that scan logs and promote stable rules to SOUL.md after a clean period. This ensures lasting AI behavior change without manual intervention.

Can I use markdown logs to extract self-improvement rules for my AI assistant?▼

Structured markdown logs capture AI assistant errors and corrections, which pattern detection scripts parse to extract behavioral patterns. These extracted patterns are then converted into actionable self-improvement rules.

Do I need cron automation to run nightly pattern detection for self-learning?▼

Cron-driven automation runs nightly pattern detection scripts and monthly reporting pipelines to keep the AI self-learning loop executing without manual effort. It ensures behavioral rules are continuously updated automatically.

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