Slash Commands All built-in slash commands available in the Hanzo Dev TUI.
Hanzo Dev supports slash commands in the TUI composer. Commands marked "prompt-expanding" transform your input into a full prompt and typically kick off multi-agent flows.
Command Description /browserOpen internal browser /chromeConnect to your Chrome browser /newStart a new chat during a conversation /resumeResume a past session for this folder /quitExit Hanzo Dev /logoutLog out /loginManage sign-ins (select, add, or disconnect) /settings [section]Open settings panel (optional: model, theme, agents, skills, auto, review, validation, limits, chrome, mcp, notifications)
Command Description /initCreate an AGENTS.md file with instructions /diffShow git diff (including untracked files) /undoOpen snapshot picker to restore workspace files /branch [task]Create a worktree branch and switch to it /mergeMerge current worktree branch back into default /pushCommit, push, and monitor workflows /review [focus]Open review picker or review with focus text /cloudBrowse Cloud tasks from the TUI /cmd <name>Run a project command for the current workspace
Command Description /themeCustomize the app theme /verbosity (high|medium|low)Change text verbosity /modelChoose your default model /reasoning (minimal|low|medium|high)Change reasoning effort /promptsManage custom prompts /skillsManage skills /statusShow session configuration and token usage /limitsAdjust session limits and rate-limit usage /updateCheck version and run guided upgrade /notifications [status|on|off]Manage notification settings /mcp [status|on|off \<name\>|add]Manage MCP servers /validation [status|on|off]Inspect or toggle validation harness
Command Description /mentionMention a file (opens file search)
Command Description /perf (on|off|show|reset)Performance tracing controls /agentsConfigure agents and subagent commands /auto [goal]Start the Auto Drive coordinator
These commands expand into full prompts and start multiple agents. They require a task/problem description.
Command Description /plan <task>Create a comprehensive plan (multiple agents) /solve <problem>Solve a challenging problem (multiple agents) /code <task>Perform a coding task (multiple agents)
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