continual-learning

Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.

1,510
installs: 0 up / 0 down, score 0.00
votes: 13,528
repo stars
Updated: less than a month ago
In the catalog since: 1 Oct 2026
From: cursor/plugins

Get it through your agent npx skills add cursor/plugins@continual-learning

Skill instructions

Rendered from the published SKILL.md, 19 lines.

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.

Get it through your agent

Call the Graph-of-Skills MCP server's retrieve_skill_bundle tool and it returns this skill's text inside your budget.

{
  "tool": "retrieve_skill_bundle",
  "arguments": {
    "query": "continual-learning"
  }
}

New to this? Set up Graph-of-Skills or get a free key. The text on this page comes from its authors: how skills are sourced and what we check. If none fits your task, your agent can write a skill for your own library. To keep a skill from your own library on a machine, see how to install one of your skills.

Share on X Share on LinkedIn Share on Bluesky Share on Hacker News

Share on Reddit

Source

Source repository cursor/plugins
Listing on skills.sh

From cursor/plugins via skills.sh

Related skills

maintaining-agent-context
You MUST use this when creating, auditing, optimizing, or maintaining repository agent instructions - AGENTS.md, CLAUDE.md, .claude/rules/, and instruction-related SKILL.md content - covering context architecture, always-loaded context cost, stale, duplicated, or conflicting instructions, and keeping agent memory aligned with the codebase. Not for human-facing documentation or skill authoring.
1,722 installs
remember
Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.
9,248 installs
agents-md
Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files. Use when asked to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, document repository agent conventions, or keep coding-agent instructions minimal and reference-backed.
6,992 installs
harness-creator
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions — forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently — or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."
2,336 installs
planning-with-files
Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.
46,731 installs

More from cursor/plugins

unslop
Cut AI tells from any writing.
27,502 installs
thermo-nuclear-code-quality-review
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
22,120 installs
deslop
Remove AI-generated code slop and clean up code style
9,283 installs
typescript-best-practices
TypeScript best practices. Use when reading or editing any .ts or .tsx file.
7,767 installs
how
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.
5,862 installs

Content is provided as published by its creators; you are responsible for how you use it.

To request removal, use the contact form.