Agent skill · product strategy · onewave-ai
agent-team-builder
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
Why this skill is useful
Generates production-ready team configurations with specialized roles and communication protocols that the AI wouldn't reliably create on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Agent Team Builder Design and generate production-ready multi-agent team configurations for business workflows through an interactive discovery session. This skill generates configuration files; it does not execute or deploy agents. Contents references/team-templates.md — Sales, Support, Research, and Content team starting points. references/config-schema.md — Full team-config.yaml schema plus advanced features (A2A messaging, scaling, shared context). references/output-files.md — Files to generate and the final response format. Workflow Always complete discovery before designing. Never generate a team config without understanding the business process first. 1. Run discovery. Ask the user, one area at a time: Process name (what to automate). Current state (who is involved, handoff points). Pain points (where delays, errors, or bottlenecks occur). Volume (runs per day/week/month). Success metrics (time, error rate, satisfaction). Constraints (compliance, approval gates, human-in-the-loop). Integrations (CRM, email, Slack, databases, APIs). 2. Design the team architecture. Determine the minimum number of agents (typically 3-7). Select role types as needed: Coordinator — orchestrates workflow, routes tasks, handles exceptions. Specialist — deep expertise in one domain. Validator — quality assurance, compliance checking, output review. Interface — handles external communication. Data — manages retrieval, transformation, and storage. Pick a communication pattern: hub-and-spoke (sequential), pipeline (linear), mesh (collaborative), or broadcast (notification). Start from a template in references/team-templates.md when one fits. 3. Specify each agent. Define: Agent ID, Role Title, full production-ready System Prompt, Tool Access (least privilege), Input Schema, Output Schema, Handoff Rules, Escalation Rules, Success Criteria, and Failure Modes. 4. Generate the configuration files. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/agent-team-builder