Continual Learning
This is a pure orchestration layer that keeps your AGENTS.md file up to date by handing off all the real work to a subagent called agents-memory-updater. You invoke it when you want to mine past conversation transcripts and fold learnings back into your agent memory. The entire parent skill is just a passthrough that calls the updater and returns its result, which is an interesting pattern if you're building multi-agent systems where you want clean separation between orchestration and execution. The guardrails explicitly prevent you from doing any actual file editing or transcript mining at this level, forcing everything through the subagent boundary.
- skills.sh installs
- 1.5K
- GitHub stars
- 15.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add cursor/plugins --skill continual-learning --agent claude-codeInstalls into .claude/skills of the current project.
Files
Continual Learning
Keep AGENTS.md current by delegating the memory update flow to one subagent.
Trigger
Use when the user asks to mine prior chats, maintain AGENTS.md, or run the continual-learning loop.
Workflow
- Call
agents-memory-updater. - Return the updater result.
Guardrails
- Keep the parent skill orchestration-only.
- Do not mine transcripts or edit files in the parent flow.
- Do not bypass the subagent.
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- Repository
- github.com/cursor/plugins
- Category
- Automation & Workflows
- First seen
- Jun 23, 2026
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