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Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
$ npx -y skills add affaan-m/ECC --skill dmux-workflows --agent claude-codeHow it fires
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/dmux-workflowsContext preview
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Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
name: dmux-workflows description: Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows. metadata: origin: ECC
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:
**Install:** Install dmux from its repository after reviewing the package. See [github.com/standardagents/dmux](https://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:
Pane 1 (Research): "Research best practices for rate limiting in Node.js. Check current libraries, compare approaches, and write findings to /tmp/rate-limit-research.md" Pane 2 (Implement): "Implement rate limiting middleware for our Express API. Start with a basic token bucket, we'll refine after research completes." # After Pane 1 completes, merge findings into Pane 2's context
Parallelize work across independent files:
Pane 1: "Create the database schema and migrations for the billing feature" Pane 2: "Build the billing API endpoints in src/api/billing/" Pane 3: "Create the billing dashboard UI components" # Merge all, then do integration in main pane
Run tests in one pane, fix in another:
Pane 1 (Watcher): "Run the test suite in watch mode. When tests fail, summarize the failures." Pane 2 (Fixer): "Fix failing tests based on the error output from pane 1"
Use different AI tools for different tasks:
Pane 1 (Claude Code): "Review the security of the auth module" Pane 2 (Codex): "Refactor the utility functions for performance" Pane 3 (Claude Code): "Write E2E tests for the checkout flow"
Parallel review perspectives:
Pane 1: "Review src/api/ for security vulnerabilities" Pane 2: "Review src/api/ for performance issues" Pane 3: "Review src/api/ for test coverage gaps" # Merge all reviews into a single report
1. **Independent tasks only.** Don't parallelize tasks that depend on each other's output. 2. **Clear boundaries.** Each pane should work on distinct files or concerns. 3. **Merge strategically.** Review pane output before merging to avoid conflicts. 4. **Use git worktrees.** For file-conflict-prone work, use separate worktrees per pane. 5. **Resource awareness.** Each pane uses API tokens — keep total panes under 5-6.
For tasks that touch overlapping files:
# Create worktrees for isolation git worktree add -b feat/auth ../feature-auth HEAD git worktree add -b feat/billing ../feature-billing HEAD # Run agents in separate worktrees # Pane 1: cd ../feature-auth && claude # Pane 2: cd ../feature-billing && claude # Merge branches when done git merge feat/auth git merge feat/billing
| Tool | What It Does | When to Use | |------|-------------|-------------| | **dmux** | tmux pane management for agents | Parallel agent sessions | | **Superset** | Terminal IDE for 10+ parallel agents | Large-scale orchestration | | **Claude Code Task tool** | In-process subagent spawning | Programmatic parallelism within a session | | **Codex multi-agent** | Built-in agent roles | Codex-specific parallel work |
ECC now includes a helper for external tmux-pane orchestration with separate git worktrees:
node scripts/orchestrate-worktrees.js plan.json --execute
Example `plan.json`:
{
"sessionName": "skill-audit",
"baseRef": "HEAD",
"launcherCommand": "codex exec --cwd {worktree_path} --task-file {task_file}",
"workers": [
{ "name": "docs-a", "task": "Fix skills 1-4 and write handoff notes." },
{ "name": "docs-b", "task": "Fix skills 5-8 and write handoff notes." }
]
}The helper:
Use `seedPaths` when workers need access to dirty or untracked local files that are not yet part of `HEAD`, such as local orchestration scripts, draft plans, or docs:
{
"sessionName": "workflow-e2e",
"seedPaths": [
"scripts/orchestrate-worktrees.js",
"scripts/lib/tmux-worktree-orchestrator.js",
".claude/plan/workflow-e2e-test.json"
],
"launcherCommand": "bash {repo_root}/scripts/orchestrate-codex-worker.sh {task_file} {handoff_file} {status_file}",
"workers": [
{ "name": "seed-check", "task": "Verify seeded files are present before starting work." }
]
}Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/ECC
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