Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →loulanyue/dmux-workflows
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses.
Passed 22 of 22 test cases with the skill, and 9 of 22 without it.
and 12 more in the full report
13 fixed9 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are writing a custom JSON plan file for `orchestrate-worktrees.js`. What exact placeholder string in `launcherCommand` injects the absolute path to the worker's assigned task markdown file?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies the placeholder string {task_file} | Missed | Passed |
The instructions your model reads when the skill loads.
Orchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses.
dmux is a tmux-based orchestration tool that manages AI agent panes:
n to create a new pane with a promptm to merge pane output back to the main sessionInstall: Install dmux from its repository after reviewing the package. See github.com/standardagents/dmux
# Start dmux session
dmux
# Create agent panes (press 'n' in dmux, then type prompt)
# Pane 1: "Implement the auth middleware in src/auth/"
# Pane 2: "Write tests for the user service"
# Pane 3: "Update API documentation"
# Each pane runs its own agent session
# Press 'm' to merge results back
Split research and implementation into parallel tracks:
test cases passed, vs 9 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.