8.7k★by jivvei
zellij – OpenClaw Skill
zellij is an OpenClaw Skills integration for coding workflows. Remote-control zellij sessions for interactive CLIs by sending keystrokes and scraping pane output.
Skill Snapshot
| name | zellij |
| description | Remote-control zellij sessions for interactive CLIs by sending keystrokes and scraping pane output. OpenClaw Skills integration. |
| owner | jivvei |
| repository | jivvei/zellij |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @jivvei/zellij |
| last updated | Feb 7, 2026 |
Maintainer

name: zellij description: Remote-control zellij sessions for interactive CLIs by sending keystrokes and scraping pane output. homepage: https://zellij.dev metadata: {"moltbot":{"emoji":"🪟","os":["darwin","linux"],"requires":{"bins":["zellij","jq"]},"install":[{"id":"brew","kind":"brew","formula":"zellij","bins":["zellij"],"label":"Install Zellij (brew)"},{"id":"cargo","kind":"cargo","crate":"zellij","bins":["zellij"],"label":"Install Zellij (Cargo)"}]}}
zellij Skill (Moltbot)
Use zellij only when you need an interactive TTY. Prefer exec background mode for long-running, non-interactive tasks.
Quickstart (data dir, exec tool)
DATA_DIR="${CLAWDBOT_ZELLIJ_DATA_DIR:-${TMPDIR:-/tmp}/moltbot-zellij-data}"
mkdir -p "$DATA_DIR"
SESSION=moltbot-python
zellij --data-dir "$DATA_DIR" new-session --session "$SESSION" --layout "default" --detach
zellij --data-dir "$DATA_DIR" run --session "$SESSION" --name repl -- python3 -q
zellij --data-dir "$DATA_DIR" pipe --session "$SESSION" --pane-id 0
After starting a session, always print monitor commands:
To monitor:
zellij --data-dir "$DATA_DIR" attach --session "$SESSION"
zellij --data-dir "$DATA_DIR" pipe --session "$SESSION" --pane-id 0
Data directory convention
- Use
CLAWDBOT_ZELLIJ_DATA_DIR(default${TMPDIR:-/tmp}/moltbot-zellij-data). - Zellij stores state (sessions, plugins, etc.) in this directory.
Targeting panes and naming
- Zellij uses
pane-id(numeric) to target specific panes. - Find pane IDs:
zellij --data-dir "$DATA_DIR" list-sessions --longor uselist-panes.sh. - Keep session names short; avoid spaces.
Finding sessions
- List sessions on your data dir:
zellij --data-dir "$DATA_DIR" list-sessions. - List sessions across all data dirs:
{baseDir}/scripts/find-sessions.sh --all(usesCLAWDBOT_ZELLIJ_DATA_DIR).
Sending input safely
- Use
zellij actionto send keystrokes:zellij --data-dir "$DATA_DIR" action --session "$SESSION" write-chars --chars "$cmd". - Control keys:
zellij --data-dir "$DATA_DIR" action --session "$SESSION" write 2(Ctrl+C).
Watching output
- Capture pane output:
zellij --data-dir "$DATA_DIR" pipe --session "$SESSION" --pane-id 0. - Wait for prompts:
{baseDir}/scripts/wait-for-text.sh -s "$SESSION" -p 0 -p 'pattern'. - Attaching is OK; detach with
Ctrl+p d(zellij default detach).
Spawning processes
- For python REPLs, zellij works well with standard
python3 -q. - No special flags needed like tmux's
PYTHON_BASIC_REPL=1.
Windows / WSL
- zellij is supported on macOS/Linux. On Windows, use WSL and install zellij inside WSL.
- This skill is gated to
darwin/linuxand requireszellijon PATH.
Orchestrating Coding Agents (Codex, Claude Code)
zellij excels at running multiple coding agents in parallel:
DATA_DIR="${TMPDIR:-/tmp}/codex-army-data"
# Create multiple sessions
for i in 1 2 3 4 5; do
zellij --data-dir "$DATA_DIR" new-session --session "agent-$i" --layout "compact" --detach
done
# Launch agents in different workdirs
zellij --data-dir "$DATA_DIR" action --session "agent-1" write-chars --chars "cd /tmp/project1 && codex --yolo 'Fix bug X'\n"
zellij --data-dir "$DATA_DIR" action --session "agent-2" write-chars --chars "cd /tmp/project2 && codex --yolo 'Fix bug Y'\n"
# Poll for completion (check if prompt returned)
for sess in agent-1 agent-2; do
pane_id=$(zellij --data-dir "$DATA_DIR" list-sessions --long | grep "\"$sess\"" | jq -r '.tabs[0].panes[0].id')
if zellij --data-dir "$DATA_DIR" pipe --session "$sess" --pane-id "$pane_id" | grep -q "❯"; then
echo "$sess: DONE"
else
echo "$sess: Running..."
fi
done
# Get full output from completed session
zellij --data-dir "$DATA_DIR" pipe --session "agent-1" --pane-id 0
Tips:
- Use separate git worktrees for parallel fixes (no branch conflicts)
pnpm installfirst before running codex in fresh clones- Check for shell prompt (
❯or$) to detect completion - Codex needs
--yoloor--full-autofor non-interactive fixes
Cleanup
- Kill a session:
zellij --data-dir "$DATA_DIR" delete-session --session "$SESSION". - Kill all sessions on a data dir: use
{baseDir}/scripts/cleanup-sessions.sh "$DATA_DIR".
Zellij vs Tmux Quick Reference
| Task | tmux | zellij |
|---|---|---|
| List sessions | list-sessions | list-sessions |
| Create session | new-session -d | new-session --detach |
| Attach | attach -t | attach --session |
| Send keys | send-keys | action write-chars |
| Capture pane | capture-pane | pipe |
| Kill session | kill-session | delete-session |
| Detach | Ctrl+b d | Ctrl+p d |
Helper: wait-for-text.sh
{baseDir}/scripts/wait-for-text.sh polls a pane for a regex (or fixed string) with a timeout.
{baseDir}/scripts/wait-for-text.sh -s session -p pane-id -r 'pattern' [-F] [-T 20] [-i 0.5]
-s/--sessionsession name (required)-p/--pane-idpane ID (required)-r/--patternregex to match (required); add-Ffor fixed string-Ttimeout seconds (integer, default 15)-ipoll interval seconds (default 0.5)
Helper: find-panes.sh
{baseDir}/scripts/find-panes.sh lists panes for a given session.
{baseDir}/scripts/find-panes.sh -s session [-d data-dir]
-s/--sessionsession name (required)-d/--data-dirzellij data dir (usesCLAWDBOT_ZELLIJ_DATA_DIRif not specified)
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
FAQ
How do I install zellij?
Run openclaw add @jivvei/zellij in your terminal. This installs zellij into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/jivvei/zellij. Review commits and README documentation before installing.
