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ayao-workflow-agent

Multi-agent workflow orchestrator for coding, writing, analysis, and image tasks via tmux-driven Claude Code and Codex agents. Use when: (1) user requests a feature/fix that should be delegated to coding agents, (2) managing parallel coding tasks across front-end and back-end, (3) monitoring active agent sessions and coordinating review, (4) user says 'start task', 'assign to agents', 'swarm mode', or references the ayao-workflow-agent playbook. NOT for: simple one-liner edits (just edit directly), reading code (use read tool), or single quick questions about code.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/ayao99315/ayao-workflow-agent
Or

What This Skill Does

ayao-workflow-agent is a sophisticated multi-agent orchestration framework designed for complex, multi-layered development projects. Instead of acting as a direct coder, this skill functions as a 'Project Manager' AI that deploys, monitors, and reviews a swarm of specialized coding agents (Claude Code and Codex) within tmux-managed environments. By centralizing task decomposition and cross-review protocols, it ensures that high-level requirements are translated into atomic, manageable coding tasks while maintaining strict architectural boundaries.

Installation

To integrate this skill into your environment, run the following command within your OpenClaw terminal: clawhub install openclaw/skills/skills/ayao99315/ayao-workflow-agent Ensure you have configured your tmux environment and permissions to allow the orchestration shell scripts to execute correctly.

Use Cases

  • Complex Feature Development: When building a new module that spans both frontend and backend architectures, requiring parallel development tracks.
  • Refactoring & Technical Debt: Managing large-scale code changes where cross-review between independent agents is necessary to prevent regression.
  • Standardized Workflows: Ensuring every change, regardless of size, adheres to Conventional Commits and atomic, pushed-immediately commit standards.
  • Swarm-based Debugging: Utilizing multiple agent personas (Codex for backend efficiency, Claude for frontend UI/UX) to solve complex bug reports.

Example Prompts

  1. "Start task: Implement the new OAuth2 authentication flow using the ayao-workflow-agent playbook."
  2. "Assign to agents: Refactor the user profile component and the corresponding database schema simultaneously."
  3. "Enter swarm mode and decompose the request to migrate the API from REST to GraphQL, ensuring the cc-review and codex-review agents are active."

Tips & Limitations

  • Strict Decoupling: The orchestrator must never touch project files directly. If you find yourself wanting to edit code, stop; decompose the task and dispatch it instead.
  • Always Dispatch: You must use dispatch.sh for all agent tasks. Bypassing this tool will break the event loop, causing status updates to fail and leaving the orchestrator unaware of task completion.
  • File Isolation: Ensure agents are assigned to non-overlapping file scopes to prevent race conditions during parallel execution. Always review output via the designated review agents (cc-review/codex-review) to maintain code quality across the codebase.

Metadata

Author@ayao99315
Stars4473
Views0
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-ayao99315-ayao-workflow-agent": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#orchestrator#multi-agent#swarm#tmux#development
Safety Score: 4/5

Flags: file-write, file-read, code-execution