How do I install the Learning Agents skill?

Run npx skillmds@latest add majiayu000/learning-agents in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Learning Agents safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Learning Agents?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Learning Agents free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Learning Agents?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Learning Agents by majiayu000 — Agent Skill

Name: Learning Agents
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

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 learning-agents:learn

`report_issue <agentId> <details>`

Report an issue with a LearningAgent from the current session.

Invoke: Skill learning-agents:report-issue <session_log_folder> <details>

To construct the session log folder path: search .deepwork/tmp/agent_sessions/ for a subdirectory whose name contains the provided agentId. The path structure is .deepwork/tmp/agent_sessions/<session_id>/<agentId>/. If no match is found, inform the user. If multiple matches exist, use the most recently modified one.

Example: $ARGUMENTS = "report_issue abc123 Used wrong retry strategy" → find folder matching abc123 under .deepwork/tmp/agent_sessions/, then Skill learning-agents:report-issue .deepwork/tmp/agent_sessions/sess-xyz/abc123/ Used wrong retry strategy

No arguments or ambiguous input

Display available sub-commands:

LearningAgents - Auto-improving AI sub-agents

Available commands:
  /learning-agents create <name>                    Create a new LearningAgent
  /learning-agents learn                            Run learning cycle on pending sessions
  /learning-agents report_issue <agentId> <details>      Report an issue with an agent

Examples:
  /learning-agents create rails-activejob
  /learning-agents learn
  /learning-agents report_issue abc123 "Used wrong retry strategy for background jobs"

Guardrails

Always route to the appropriate skill — do NOT implement sub-command logic inline
If $ARGUMENTS doesn't match any known sub-command, show the help text above
Pass arguments through to sub-skills exactly as provided

---name: learning-agentsdescription: Dispatch entry point for the LearningAgents plugin. Routes to sub-commands for creating agents, running learning cycles, and reporting issues.--- # 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 learning-agents:learn` ### `report_issue <agentId> <details>` Report an issue with a LearningAgent from the current session. Invoke: `Skill learning-agents:report-issue <session_log_folder> <details>` To construct the session log folder path: search `.deepwork/tmp/agent_sessions/` for a subdirectory whose name contains the provided `agentId`. The path structure is `.deepwork/tmp/agent_sessions/<session_id>/<agentId>/`. If no match is found, inform the user. If multiple matches exist, use the most recently modified one. Example: `$ARGUMENTS = "report_issue abc123 Used wrong retry strategy"` → find folder matching `abc123` under `.deepwork/tmp/agent_sessions/`, then `Skill learning-agents:report-issue .deepwork/tmp/agent_sessions/sess-xyz/abc123/ Used wrong retry strategy` ### No arguments or ambiguous input Display available sub-commands: ``` LearningAgents - Auto-improving AI sub-agents Available commands: /learning-agents create <name> Create a new LearningAgent /learning-agents learn Run learning cycle on pending sessions /learning-agents report_issue <agentId> <details> Report an issue with an agent Examples: /learning-agents create rails-activejob /learning-agents learn /learning-agents report_issue abc123 "Used wrong retry strategy for background jobs" ``` ## Guardrails - Always route to the appropriate skill — do NOT implement sub-command logic inline - If `$ARGUMENTS` doesn't match any known sub-command, show the help text above - Pass arguments through to sub-skills exactly as provided

Frequently asked questions

Learning Agents