Multi-agent orchestrator with specialized sub-agents (Explorer, Librarian, Oracle) for intelligent task delegation, parallel research, and code review
Fast codebase search specialist. Use for finding files, symbols, code patterns, and exploring project structure. Answers 'Where is X?', 'Which file has Y?', 'Find the code that does Z'. Fire multiple in parallel for broad searches.
Specialized open-source research agent for library documentation, API references, implementation examples, and best practices. MUST BE USED when users ask to look up code in remote repositories, explain library internals, find usage examples in open source, or understand how external libraries work.
Expert technical advisor with deep reasoning for architecture decisions, code analysis, debugging strategy, and engineering guidance. Use for design reviews, complex debugging, technical trade-offs, refactoring roadmaps, and strategic decisions. Also use for code review and self-review after completing significant implementations — surfaces critical issues, security concerns, and regressions.
Intelligent multi-agent orchestrator that delegates to specialized sub-agents (Explorer, Librarian, Oracle) for optimal task execution. Activates as the main thread.
Activate comprehensive exploration mode. Use when user says 'deep research' or when a task requires thorough investigation of both internal codebase and external sources before proceeding.
Activate codebase exploration mode. Use when user says 'explore codebase' or 'explore the codebase', or when comprehensive codebase mapping is needed before making changes.
Activate code review mode via Oracle agent. Use when user says 'review', 'self-review', or 'code review', or after completing significant implementations. Surfaces critical issues, security concerns, and regressions.
Activate maximum multi-agent coordination mode. Use when user says 'ultrawork' or 'ulw', or when a task requires aggressive parallel research across multiple agents.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Multi-agent orchestrator plugin for Claude Code. Gives you a team of specialized AI agents instead of a single generalist.
Zenox replaces the default Claude Code agent with an orchestrator that automatically delegates to specialists:
| Agent | Model | Role |
|---|---|---|
| Zenox (main) | Opus | Orchestrates everything, writes code, delegates when needed |
| Explorer | Haiku | Fast codebase search — finds files, patterns, symbols |
| Librarian | Sonnet | External research — official docs, GitHub examples, library internals |
| Oracle | Opus | Strategic advisor — architecture decisions, debugging, code review |
Explorer and Librarian run in background automatically. Oracle runs in foreground (blocks until result arrives). You don't manage the agents — the orchestrator delegates based on what you ask.
/plugin marketplace add CyberBoyAyush/zenox-claude
/plugin install zenox@zenox-marketplace
/reload-plugins
If the marketplace is already configured to use npm:
/plugin marketplace add CyberBoyAyush/zenox-claude
/plugin install zenox@zenox-marketplace
claude --plugin-dir /path/to/zenox-claude
You don't call agents directly. The main agent delegates automatically:
You: "Where's the authentication logic?"
-> Explorer searches the codebase (background)
You: "How does React Query handle caching?"
-> Librarian fetches docs + real GitHub examples (background)
You: "Should I use Redux or Zustand here?"
-> Oracle analyzes trade-offs (foreground)
You: "review"
-> Oracle reviews your recent git diff for bugs, security, regressions
| Skill | Trigger | What happens |
|---|---|---|
/ultrawork | "ultrawork" or "ulw" | Maximum multi-agent coordination — fires parallel agents |
/deep-research | "deep research" | 3-4 agents explore internal + external sources |
/explore-codebase | "explore codebase" | Multiple explorers map out relevant code |
/review | "review", "self-review" | Oracle reviews your git diff |
These are auto-loaded when the plugin is enabled:
| Server | Purpose |
|---|---|
| exa | Web search, docs lookup, URL crawling (free, no API key needed) |
| grep-app | Search millions of public GitHub repos |
| sequential-thinking | Step-by-step reasoning for complex problems |
All three servers are publicly accessible and require no API keys or configuration.
After significant implementations (3+ files changed, security-sensitive code, architecture changes), the orchestrator automatically:
git diff to capture changesSkipped for trivial changes (single file, <50 lines, docs/config only).
zenox-claude/
├── .claude-plugin/
│ ├── plugin.json # Plugin manifest
│ └── marketplace.json # Marketplace catalog
├── agents/
│ ├── zenox.md # Main orchestrator agent
│ ├── explorer.md # Codebase search specialist
│ ├── librarian.md # External research specialist
│ └── oracle.md # Strategic advisor + code reviewer
├── skills/
│ ├── ultrawork/SKILL.md
│ ├── deep-research/SKILL.md
│ ├── explore-codebase/SKILL.md
│ └── review/SKILL.md
├── hooks/
│ └── hooks.json
├── .mcp.json # MCP server configs (exa, grep-app, sequential-thinking)
├── settings.json # Activates zenox as main agent
└── package.json # npm distribution
The plugin activates the zenox agent as the main thread via settings.json. Model assignments are fixed to Claude's available tiers:
Claude Code only supports Anthropic models (haiku/sonnet/opus) for agents, so there's no model configuration step.
This is a port of Zenox (OpenCode plugin) adapted for Claude Code's declarative plugin system:
npx claudepluginhub cyberboyayush/zenox-claudeOne plugin to bridge and delegate across Claude Code, Codex CLI, and Gemini CLI — single-source AGENTS.md, shared skills, mirrored hooks and MCP servers, and full Claude↔Codex bidirectional delegation.
Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.
High-intelligence Claude Code copilot with deep code reasoning, evidence-driven planning, orchestration-first execution, model routing, context budgeting, CI/CD integration, enterprise security, plugin development, prompt engineering, performance profiling, agent teams, channels (event-driven autonomy with CI webhook, mobile approval relay, Discord bridge, and fakechat dev profile), interactive tutorials, LSP integration, security-hardened hook script library, MCP Prompts coverage, common workflow packs, runtime selection guide, computer-use patterns, checkpointing, scheduled-task blueprints, repo bootstrap scanner, hook policy engine (8 installable packs), layered memory deployment, role-based subagent packs (implementer, debugger, migration-lead, dependency-auditor, release-coordinator), 5 agent-team topology kits, autonomy operating mode (4 profiles + 3 gates), and a queryable 15-tool MCP documentation server with autonomy advisor.
Dynamic orchestrator plugin — 200+ agents, 200+ skills, hooks, and MCP servers. Upstream sources linked via git submodules (agency-agents, everything-claude-code, oh-my-claudecode, gstack, superpowers)
Sub-agent runner — runs agent definitions on Codex, Claude Code, Cursor CLI, or Gemini CLI from any host AI tool.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.