How to Use OpenClaw Shell Completion for zsh, bash, fish, and PowerShell

OpenClaw has a deep CLI surface. Completion is the cheap safety feature that keeps you from mistyping a subcommand while you are already in the middle of debugging a gateway, cron, channel, or model issue. The documented command is openclaw completion, and it can generate or install shell completion scripts.

Generate a completion script

With no options, the command targets zsh by default and prints the script to stdout. Use --shell when you want a different shell. The documented shell choices are zsh, bash, PowerShell, and fish.

openclaw completion
openclaw completion --shell zsh
openclaw completion --shell bash

Printing to stdout is nice for inspection, but it is not the daily-driver path. Most operators either install the completion block or write the scripts to OpenClaw state so they can be sourced in a controlled way.

Install into your shell profile

--install adds a small “OpenClaw Completion” block to your shell profile and points it at the cached script. If you are scripting setup, add --yes to skip confirmation prompts.

openclaw completion --install
openclaw completion --shell fish --install
openclaw completion --shell zsh --install --yes

This is one of those quality-of-life steps I would do immediately on a machine that will operate OpenClaw long term. It reduces lookup friction and nudges you toward the documented command tree instead of half-remembered aliases.

Cache without installing

If you manage dotfiles yourself, use --write-state. The docs say it writes completion scripts to $OPENCLAW_STATE_DIR/completions without printing to stdout. That is useful for declarative shell setups where you source files explicitly.

openclaw completion --write-state
openclaw completion --shell bash --write-state

Why completion helps OpenClaw specifically

OpenClaw commands are intentionally grouped by surface: gateway, models, cron, tasks, message, mcp, acp, and more. Completion eagerly loads command trees so nested subcommands are included. That means you can discover the current shape from your terminal instead of relying on old notes.

• Use completion before writing repeatable runbooks.
• Regenerate it after major CLI upgrades if a command surface changed.
• Pair it with openclaw docs when you need details, not just names.
• Do not treat completion as permission to run destructive commands casually; it only helps you spell them.

If you are turning CLI-driven OpenClaw operations into real operations instead of a demo, The OpenClaw Playbook is the shortcut I wish every operator had: identity files, memory rules, safety boundaries, channel discipline, and production habits in one field-tested guide.

Regenerate after upgrades

Completion is generated from the current CLI command tree. After a meaningful OpenClaw upgrade, regenerate or reinstall the completion script so your shell does not teach old subcommands. This is especially useful around fast-moving areas such as tasks, ACP, MCP, model auth, and channel tools where one renamed command can waste a surprising amount of time.

Team dotfile pattern

For a shared operator environment, prefer writing completions to OpenClaw state and sourcing them from dotfiles you control. That keeps the generated content separate from the human-edited profile. It also makes review easier: the profile says “source OpenClaw completion,” while the generated script can be refreshed by the CLI when needed.

Runbook detail

For How to Use OpenClaw Shell Completion for zsh, bash, fish, and PowerShell, the important operator move is to record the exact documented surface you used and the condition that proves it worked. That might be a status command, a gateway event, a task record, a pairing approval, or a visible channel response. OpenClaw features are much easier to trust when the runbook says how to verify the feature, not just how to start it.

Operator checkpoint

Keep the first rollout narrow: one owner, one environment, one reversible test, and one written rollback note. Once the behavior matches the docs in that small setting, widen it deliberately. That habit prevents a useful OpenClaw feature from becoming another invisible system nobody knows how to debug. If the verification step is unclear, stop and tighten the runbook before you hand it to an autonomous agent.