SuperCharge Claude Code v1.0.0 - Complete Customization Package
Features: - 30+ Custom Skills (cognitive, development, UI/UX, autonomous agents) - RalphLoop autonomous agent integration - Multi-AI consultation (Qwen) - Agent management system with sync capabilities - Custom hooks for session management - MCP servers integration - Plugin marketplace setup - Comprehensive installation script Components: - Skills: always-use-superpowers, ralph, brainstorming, ui-ux-pro-max, etc. - Agents: 100+ agents across engineering, marketing, product, etc. - Hooks: session-start-superpowers, qwen-consult, ralph-auto-trigger - Commands: /brainstorm, /write-plan, /execute-plan - MCP Servers: zai-mcp-server, web-search-prime, web-reader, zread - Binaries: ralphloop wrapper Installation: ./supercharge.sh
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plugins/claude-delegator/commands/setup.md
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plugins/claude-delegator/commands/setup.md
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---
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name: setup
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description: Configure claude-delegator with Codex MCP server
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allowed-tools: Bash, Read, Write, Edit, AskUserQuestion
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timeout: 60000
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---
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# Setup
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Configure Codex (GPT) as specialized expert subagents via native MCP. Five domain experts that can advise OR implement.
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## Step 1: Check Codex CLI
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```bash
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which codex 2>/dev/null && codex --version 2>&1 | head -1 || echo "CODEX_MISSING"
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```
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### If Missing
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Tell user:
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```
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Codex CLI not found.
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Install with: npm install -g @openai/codex
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Then authenticate: codex login
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After installation, re-run /claude-delegator:setup
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```
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**STOP here if Codex is not installed.**
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## Step 2: Read Current Settings
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```bash
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cat ~/.claude/settings.json 2>/dev/null || echo "{}"
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```
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## Step 3: Configure MCP Server
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Merge into `~/.claude/settings.json`:
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```json
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{
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"mcpServers": {
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"codex": {
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"type": "stdio",
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"command": "codex",
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"args": ["-m", "gpt-5.2-codex", "mcp-server"]
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}
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}
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}
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```
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Note: Use `gpt-5.2-codex` explicitly for the latest model.
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**CRITICAL**:
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- Merge with existing settings, don't overwrite
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- Preserve any existing `mcpServers` entries
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## Step 4: Install Orchestration Rules
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```bash
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mkdir -p ~/.claude/rules/delegator && cp ${CLAUDE_PLUGIN_ROOT}/rules/*.md ~/.claude/rules/delegator/
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```
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## Step 5: Verify Installation
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Run these checks and report results:
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```bash
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# Check 1: Codex CLI version
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codex --version 2>&1 | head -1
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# Check 2: MCP server configured
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cat ~/.claude/settings.json | jq -r '.mcpServers.codex.args | join(" ")' 2>/dev/null
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# Check 3: Rules installed (count files)
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ls ~/.claude/rules/delegator/*.md 2>/dev/null | wc -l
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# Check 4: Auth status (check if logged in)
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codex login status 2>&1 | head -1 || echo "Run 'codex login' to authenticate"
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```
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## Step 6: Report Status
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Display actual values from the checks above:
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```
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claude-delegator Status
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───────────────────────────────────────────────────
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Codex CLI: ✓ [version from check 1]
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Model: ✓ gpt-5.2-codex (or ✗ if not configured)
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MCP Config: ✓ ~/.claude/settings.json (or ✗ if missing)
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Rules: ✓ [N] files in ~/.claude/rules/delegator/
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Auth: [status from check 4]
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───────────────────────────────────────────────────
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```
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If any check fails, report the specific issue and how to fix it.
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## Step 7: Final Instructions
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```
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Setup complete!
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Next steps:
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1. Restart Claude Code to load MCP server
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2. Authenticate: Run `codex login` in terminal (if not already done)
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Five GPT experts available:
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┌──────────────────┬─────────────────────────────────────────────┐
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│ Architect │ "How should I structure this service?" │
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│ │ "What are the tradeoffs of Redis vs X?" │
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│ │ → System design, architecture decisions │
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├──────────────────┼─────────────────────────────────────────────┤
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│ Plan Reviewer │ "Review this migration plan" │
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│ │ "Is this implementation plan complete?" │
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│ │ → Plan validation before execution │
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├──────────────────┼─────────────────────────────────────────────┤
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│ Scope Analyst │ "Clarify the scope of this feature" │
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│ │ "What am I missing in these requirements?" │
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│ │ → Pre-planning, catches ambiguities │
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├──────────────────┼─────────────────────────────────────────────┤
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│ Code Reviewer │ "Review this PR" │
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│ │ "Find issues in this implementation" │
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│ │ → Code quality, bugs, maintainability │
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├──────────────────┼─────────────────────────────────────────────┤
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│ Security Analyst │ "Is this authentication flow secure?" │
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│ │ "Harden this endpoint" │
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│ │ → Vulnerabilities, threat modeling │
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└──────────────────┴─────────────────────────────────────────────┘
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Every expert can advise (read-only) OR implement (write).
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Expert is auto-detected based on your request.
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Explicit: "Ask GPT to review..." or "Have GPT fix..."
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```
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## Step 8: Ask About Starring
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Use AskUserQuestion to ask the user if they'd like to ⭐ star the claude-delegator repository on GitHub to support the project.
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Options: "Yes, star the repo" / "No thanks"
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**If yes**: Check if `gh` CLI is available and run:
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```bash
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gh api -X PUT /user/starred/jarrodwatts/claude-delegator
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```
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If `gh` is not available or the command fails, provide the manual link:
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```
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https://github.com/jarrodwatts/claude-delegator
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```
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**If no**: Thank them and complete setup without starring.
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