learning-agents

name	learning-agents
description	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).

Existing Learning Agents

!ls -1 .deepwork/learning-agents/ 2>/dev/null || echo "(none)"

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> [template-path]

Create a new LearningAgent scaffold. If a template path is provided, the new agent is seeded with the template agent's knowledge files as a starting point.

Invoke: Skill learning-agents:create-agent <name> [template-path]

Example: $ARGUMENTS = "create rails-activejob" → Skill learning-agents:create-agent rails-activejob Example: $ARGUMENTS = "create new-agent .deepwork/learning-agents/existing-agent" → Skill learning-agents:create-agent new-agent .deepwork/learning-agents/existing-agent

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> [template-path]          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 create new-agent .deepwork/learning-agents/existing-agent
  /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