team-builder

Deploy a configurable multi-agent SaaS growth team on OpenClaw.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/xintuchain/tongtong --skill team-builder-xintuchain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/xintuchain/tongtong/tree/main/skills/team-builder
Command: npx skills add https://github.com/xintuchain/tongtong --skill team-builder-xintuchain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Orchestrates the one-shot deployment of a configurable multi-agent SaaS growth team on OpenClaw so teams can run coordinated growth, product, content, data, intel, and engineering workflows without manual per-agent setup. It reduces the tedium of creating workspaces, agent SOULs and memories, cron schedules, inboxes, and OpenClaw bindings while enabling deep codebase understanding across agents.

Core Features & Use Cases

  • Workspace & Agent Generation: Generates a shared workspace with agent directories, SOUL.md and MEMORY.md files, AGENTS.md, USER.md, and team dashboard and kanban scaffolding.
  • Config & Cron Automation Helpers: Produces apply-config.js that updates ~/.openclaw/openclaw.json with backups and cron scripts to register scheduled jobs; user runs these scripts to apply changes and restart the gateway.
  • Project Deep Dive Code Scans: Integrates a fullstack-dev agent workflow that scans codebases to produce structured product knowledge (DB schema, routes, models, services, auth, integrations, tech debt, etc.) for all agents to consume.
  • Optional Integrations & Safety: Supports optional Telegram bot integration and ACP/Claude Code spawning for complex coding tasks while recommending manual review of generated apply-config.js before writing.
  • Real-world example: a founder uses this to create a 7-agent growth/product team that runs daily briefs, competitor scans, content plans, and scheduled Deep Dive scans across multiple SaaS products.

Quick Start

Deploy a named multi-agent SaaS growth team on your OpenClaw instance, generate the workspace and agent files, and produce the apply-config.js plus cron scripts for manual application.

Frequently Asked Questions about team-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a multi-agent SaaS growth team on OpenClaw?

Deploying a multi-agent SaaS growth team on OpenClaw uses a one-shot script to generate shared workspaces, agent SOULs, cron schedules, and async inboxes, replacing manual per-agent setup. You run generated apply-config.js scripts to update configurations and restart the gateway.

What is Deep Dive code scanning for multi-agent workflows?

Deep Dive code scanning is a fullstack-dev agent workflow that scans codebases to produce structured product knowledge like DB schemas, routes, models, and tech debt. This enables all deployed agents to consume deep codebase understanding for coordinated SaaS workflows.

Can I integrate Telegram with an OpenClaw multi-agent team?

Yes, you can integrate Telegram with an OpenClaw multi-agent team through optional Telegram bot support. This allows deployed growth, product, and engineering agents to send scheduled briefs, competitor scans, and content plans directly to Telegram channels or chats.

How many agents can I configure for a SaaS growth team deployment?

You can configure a SaaS growth team deployment with 2 to 10 agents. This scale supports coordinated growth, product, content, data, intel, and engineering workflows with shared workspaces, team dashboards, and kanban scaffolding.

What workspace files are generated for an OpenClaw agent team?

Generated workspace files include agent directories with SOUL.md and MEMORY.md files, plus AGENTS.md, USER.md, team dashboard, and kanban scaffolding. These files provide shared memory and task tracking for coordinated multi-agent workflows.