continual-learning Skill
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents. Published by microsoft in skills.
What is continual-learning Skill?
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents. Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Database workflows use cases
Technical details
- Install or run with Copy skill directory
When to use continual-learning Skill
- Use it for database workflows.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/skills/continual-learning/SKILL.md
What it does
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.
Skill instructions
Continual Learning for AI Coding Agents Your agent forgets everything between sessions. Continual learning fixes that. The Loop Experience → Capture → Reflect → Persist → Apply ↑ │ └───────────────────────────────────────┘ Quick Start Install the hook (one step): bash cp -r hooks/continual-learning .github/hooks/ Auto-initializes on first session. No config needed. Two-Tier Memory Global (~/.copilot/learnings.db) — follows you across all projects: - Tool patterns (which tools fail, which work) - Cross-project conventions - General coding preferences Local (.copilot-memory/learnings.db) — stays with this repo: - Project-specific conventions - Common mistakes for this codebase - Team preferences How Learnings Get Stored Automatic (via hooks) The hook observes tool outcomes and detects failure patterns: Session 1: bash tool fails 4 times → learning stored: "bash frequently fails" Session 2: hook surfaces that learning at start → agent adjusts approach Agent-native (via storememory / SQL)
Explore related resources
Frequently asked questions
What is continual-learning?
continual-learning is a open-source AI agent skill with Copy skill directory. Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.
Who is continual-learning best for?
continual-learning is best for reusing agent instructions, scripts, and references, database workflows.
How do I install continual-learning?
Install or run continual-learning using Copy skill directory. Check continual-learning for the latest setup command.
Is continual-learning actively maintained?
continual-learning may need a closer maintenance check before production use.
Auto-fetched from GitHub.
