continual-learning
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.
Profile →npx skills add microsoft/skills --skill continual-learning --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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-Ti
What does the continual-learning skill do?
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.
How do I install it?
Run `npx skills add microsoft/skills --skill continual-learning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From microsoft/skills, a repository with 2,860 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.