Agent skill · operations · cursor
continual-learning
Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
Why this skill is useful
Adds a specific workflow for orchestrating continual learning through a subagent, which the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-06. 2,555 stars on the source repository.
What this skill does
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 1. Call agents-memory-updater. 2. 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.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills cursor/continual-learning