Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Zellij Terminal Workspace
Remote-control zellij sessions for interactive CLIs by sending keystrokes and scraping pane output.
skill openclawclawhub Free
Remote-control zellij sessions for interactive CLIs by sending keystrokes and scraping pane output.
โฌ 0 downloads โ
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/cleanup-sessions.sh, scripts/find-panes.sh, scripts/find-sessions.sh, scripts/wait-for-text.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- Jivvei
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 --long or use list-panes.sh. Keep session names short; avoid spaces.
Finding sessions
List sessions on your data dir: zellij --data-dir "$DATA_DIR" list-sessions. List sessions across all data dirs: {baseDir}/scripts/find-sessions.sh --all (uses CLAWDBOT_ZELLIJ_DATA_DIR).
Sending input safely
Use zellij action to send keystrokes: zellij --data-dir "$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 "$SESSION" -p 0 -p 'pattern'. Attaching is OK; detach with Ctrl+p d (zellij default detach).
Spawning processes
For python REPLs, zellij works well with standard python3 -q. No special flags needed like tmux's PYTHON_BASIC_REPL=1.
Windows / WSL
zellij is supported on macOS/Linux. On Windows, use WSL and install zellij inside WSL. This skill is gated to darwin/linux and requires zellij on PATH.
Orchestrating Coding Agents (Codex, Claude Code)
zellij excels at running multiple coding agents in parallel: DATA_DIR="${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 "โฏ"; 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 install first before running codex in fresh clones Check for shell prompt (โฏ or $) to detect completion Codex needs --yolo or --full-auto for non-interactive fixes
Cleanup
Kill a session: zellij --data-dir "$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
TasktmuxzellijList sessionslist-sessionslist-sessionsCreate sessionnew-session -dnew-session --detachAttachattach -tattach --sessionSend keyssend-keysaction write-charsCapture panecapture-panepipeKill sessionkill-sessiondelete-sessionDetachCtrl+b dCtrl+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/--session session name (required) -p/--pane-id pane ID (required) -r/--pattern regex to match (required); add -F for fixed string -T timeout seconds (integer, default 15) -i poll 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/--session session name (required) -d/--data-dir zellij data dir (uses CLAWDBOT_ZELLIJ_DATA_DIR if not specified)
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Scripts1 Docs
- SKILL.md
- scripts/cleanup-sessions.sh
- scripts/find-panes.sh
- scripts/find-sessions.sh
- scripts/wait-for-text.sh