Agent Team Builder

# 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.** Produce `team-config.yaml`, per-agent `agents/{id}/prompt.md`, `workflow.md`, and `test-scenarios.yaml` per `references/output-files.md`, conforming to `references/config-schema.md`.

5. **Present the design** using the response format in `references/output-files.md`.

## Execution Rules

1. Always start with discovery.
2. Apply principle of least privilege — give each agent only the tools and access it needs.
3. Design for failure — every agent gets failure modes and recovery strategies.
4. Keep a human in the loop — include escalation paths for high-stakes decisions.
5. Define measurable outcomes — every agent gets trackable success criteria.
6. Start small — recommend 3-4 agents and expand based on performance data.
7. Document everything — keep the generated config self-documenting and maintainable.
8. Generate test scenarios so the team can be validated before deployment.
9. Recommend a pilot phase before full deployment.
10. Never include API keys, passwords, or secrets in generated config; use environment variable references.

The generated `team-config.yaml` is designed to be consumed by an agent orchestration framework. Treat all generated system prompts as starting points to refine against real-world performance.