ayao-workflow-agentMulti-agent workflow orchestrator for coding, writing, analysis, and image tasks via tmux-driven Claude Code and Codex agents. Use when: (1) user requests a...
Install via ClawdBot CLI:
clawdbot install ayao99315/ayao-workflow-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
${OPENAISends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:18789/hooks/wakeCalls external URL not in known-safe list
http://127.0.0.1:18789/hooks/wakeUses known external API (expected, informational)
api.openai.comGenerated Sep 25, 2026
A solo developer wants to ship a full-stack feature (frontend + backend) but lacks teammates. They use ayao-workflow-agent to decompose requirements into atomic tasks, dispatch Codex for backend and Claude Code for frontend in parallel via tmux, and coordinate cross-review between the two agents before merging to main.
A small startup needs to deliver multiple independent features quickly without merge conflicts. The orchestrator isolates file scopes per agent, runs concurrent coding sessions, and enforces conventional commits with immediate pushes to keep the main branch stable and auditable.
A tech lead who no longer writes code directly uses ayao-workflow-agent to define requirements, write prompts, dispatch all changes to coding agents, and review git diffs for scope and quality. This enforces a strict separation of concerns where the human orchestrates and the agents implement.
When a new module like a backtest engine or microservice is requested, the user leverages the three-tier documentation flow (requirements → design → plan) with cc-plan producing design docs after code exploration, while the orchestrator handles task decomposition and agent allocation.
A team adopting AI coding agents wants built-in quality gates. They use ayao-workflow-agent's cross-review rule — Codex output reviewed by Claude Code and vice versa — to catch bugs and enforce consistency, ensuring no agent output reaches main without peer review from a different model.
Distribute the agent skill package as open source while monetizing through premium support contracts, integration consulting, and priority access to updates. Companies adopting swarm workflows pay for onboarding, custom dispatch scripts, and SLA-backed troubleshooting.
Offer a hosted control plane that manages agent pools, task registries, and dispatch infrastructure across customer repositories. Customers pay a subscription per active agent seat or per concurrent tmux session, with usage-based billing for compute consumed by coding agents.
Sell the skill as part of a broader marketplace of agent orchestration plugins, prompt templates, and workflow playbooks. Revenue comes from one-time license purchases, a marketplace transaction cut, and upsells for advanced playbooks like cross-review automation or multi-repo swarm management.
💬 Integration Tip
Start by delegating one small feature end-to-end through dispatch.sh before scaling to parallel agents, and always verify on-complete.sh fires so the orchestrator wakes on task completion rather than silently failing.
Scored Sep 25, 2026
Audited Apr 17, 2026 · audit v1.0
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