continual-learning

Name: continual-learning
Availability: InStock
Author: Microsoft

Automate continual learning for AI coding agents with global and local memory.

2.9k|323|Updated Jan 16, 2026

Search Tags:#hooks #agents #memory #persistence #local-memory #global-memory #continual-learning

Ready to run

npx skills add https://github.com/microsoft/skills --skill continual-learning-microsoft

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: continual-learning
Source: https://github.com/microsoft/skills/tree/main/.github/skills/continual-learning
Command: npx skills add https://github.com/microsoft/skills --skill continual-learning-microsoft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Your agent forgets everything between sessions. Continual learning fixes that.

Core Features & Use Cases

Global memory across projects to track patterns, conventions, and preferences
Local memory per repository to capture project-specific rules and common mistakes
Automatic learning capture via hooks plus support for manual memory inputs
Memory compaction rules to prune stale data while preserving high-value learnings

Quick Start

Install the hook by copying the continual-learning hooks into your project's .github/hooks directory.

Frequently Asked Questions about continual-learning

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

FAQPage Schema

How do I preserve agent memory across sessions?▼

To preserve agent memory across sessions, you can use automatic learning capture via hooks alongside manual memory inputs. This approach maintains both global memory across projects and local memory per repository to track patterns and project-specific rules.

What is continual learning for AI coding agents?▼

Continual learning for AI coding agents automates the preservation and reuse of knowledge across sessions. It maintains multi-tier memory with automatic captures and compaction rules to prune stale data while keeping high-value learnings.

How do I set up automatic learning capture hooks for my repository?▼

To set up automatic learning capture, copy the continual-learning hooks into your project's .github/hooks directory. These hooks automatically capture agent learnings and safely persist them to designated memory stores.

Can I track cross-project conventions using global memory?▼

Yes, you can track cross-project conventions using global memory. It specifically monitors patterns, conventions, and preferences across multiple projects, while local memory captures project-specific rules and common mistakes per repository.

How does memory compaction work for persistent agent knowledge?▼

Memory compaction works by applying predefined rules to prune stale data from the memory stores. This process preserves high-value learnings and ensures the persistent agent knowledge remains relevant and efficient over time.

Does this memory persistence approach require manual memory inputs?▼

No, manual memory inputs are optional. The system supports automatic learning capture via hooks, but you can also supplement the global and local memory files with manual inputs to enforce specific rules.