Conductor Setup

Set up this Rails project for Conductor, the Mac app for parallel coding agents.

What to Create

1. conductor.json (project root)

Create conductor.json in the project root if it doesn't already exist:

{
  "scripts": {
    "setup": "bin/conductor-setup",
    "run": "script/server"
  }
}

2. bin/conductor-setup (executable)

Create bin/conductor-setup if it doesn't already exist:

#!/bin/bash
set -e

# Symlink .env from repo root (where secrets live, outside worktrees)
[ -f "$CONDUCTOR_ROOT_PATH/.env" ] && ln -sf "$CONDUCTOR_ROOT_PATH/.env" .env

# Symlink Rails master key
[ -f "$CONDUCTOR_ROOT_PATH/config/master.key" ] && ln -sf "$CONDUCTOR_ROOT_PATH/config/master.key" config/master.key

# Install dependencies
bundle install
npm install

Make it executable with chmod +x bin/conductor-setup.

3. script/server (executable)

Create the script directory if needed, then create script/server if it doesn't already exist:

#!/bin/bash

# === Port Configuration ===
export PORT=${CONDUCTOR_PORT:-3000}
export VITE_RUBY_PORT=$((PORT + 1000))

# === Redis Isolation ===
if [ -n "$CONDUCTOR_WORKSPACE_NAME" ]; then
  HASH=$(printf '%s' "$CONDUCTOR_WORKSPACE_NAME" | cksum | cut -d' ' -f1)
  REDIS_DB=$((HASH % 16))
  export REDIS_URL="redis://localhost:6379/${REDIS_DB}"
fi

exec bin/dev

Make it executable with chmod +x script/server.

4. Update Rails Config Files

For each of the following files, if they exist and contain Redis configuration, update them to use ENV.fetch('REDIS_URL', ...) or ENV['REDIS_URL'] with a fallback:

config/initializers/sidekiq.rb

If this file exists and configures Redis, update it to use:

redis_url = ENV.fetch('REDIS_URL', 'redis://localhost:6379/0')

config/cable.yml

If this file exists, update the development adapter to use:

development:
  adapter: redis
  url: <%= ENV.fetch('REDIS_URL', 'redis://localhost:6379/1') %>

config/environments/development.rb

If this file configures Redis for caching, update to use:

config.cache_store = :redis_cache_store, { url: ENV.fetch('REDIS_URL', 'redis://localhost:6379/0') }

config/initializers/rack_attack.rb

If this file exists and configures a Redis cache store, update to use:

Rack::Attack.cache.store = ActiveSupport::Cache::RedisCacheStore.new(url: ENV.fetch('REDIS_URL', 'redis://localhost:6379/0'))

Implementation Notes

• Don't overwrite existing files: Check if conductor.json, bin/conductor-setup, and script/server exist before creating them. If they exist, skip creation and inform the user.
• Rails config updates: Only modify Redis-related configuration. If a file doesn't exist or doesn't use Redis, skip it gracefully.
• Create directories as needed: Create script/ directory if it doesn't exist.

Verification

After creating the files:

1. Confirm all Conductor files exist and scripts are executable
2. Run script/server to verify it starts without errors
3. Check that Rails configs properly reference ENV['REDIS_URL'] or ENV.fetch('REDIS_URL', ...)

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Conductor Setup"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags conductor-setup workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.