learning-agents
Dispatch entry point for the LearningAgents plugin. Routes to sub-commands for creating agents, running learning cycles, and reporting issues.
npx skills add majiayu000/claude-skill-registry --skill learning-agents --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LearningAgents Manage auto-improving AI sub-agents that learn from their mistakes across sessions. ## Arguments `$ARGUMENTS` is the text after `/learning-agents` (e.g., for `/learning-agents create foo`, `$ARGUMENTS` is `create foo`). ## Setup Check Before routing, check if `.claude/session_log_folder_info.md` exists. If it does **not** exist, run `Skill learning-agents:setup` first, then continue with routing below. Only perform this check once per session — after the setup skill completes (or if the file already exists), proceed directly to routing for all subsequent invocations. ## Routing Split `$ARGUMENTS` on the first whitespace. The first token is the sub-command (case-insensitive); the remainder is passed to the sub-skill. Accept both underscores and dashes in sub-command names (e.g., `report_issue` and `report-issue` are equivalent). ### `create <name>` Create a new LearningAgent scaffold. Invoke: `Skill learning-agents:create-agent <name>` Example: `$ARGUMENTS = "create rails-activejob"` → `Skill learning-agents:create-agent rails-activejob` ### `learn` Run the learning cycle on all pending session transcripts. Any arguments after `learn` are ignored. Invoke: `Skill lea
- Arguments
- Setup Check
- Routing
- create <name>
- learn
- reportissue <agentId> <details>
- No arguments or ambiguous input
- Guardrails
What does the learning-agents skill do?
Dispatch entry point for the LearningAgents plugin. Routes to sub-commands for creating agents, running learning cycles, and reporting issues.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill learning-agents --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 majiayu000/claude-skill-registry, a repository with 534 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.