braze

Coordinate specialist agents to answer Braze platform queries via semantic search.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/delta-and-beta/braze-agency --skill braze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: braze
Source: https://github.com/delta-and-beta/braze-agency/tree/main/commands/braze
Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill braze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill routes and coordinates specialist Braze agents to ensure user questions about the Braze platform are answered only with grounded, knowledge-base backed findings rather than ad-hoc model responses.

Core Features & Use Cases

  • Multi-agent orchestration: Creates a task plan, spawns a TeamCreate and parallel specialist Agent calls, and tracks progress from search through synthesis.
  • Grounded research and learnings: Runs semantic searches across a Braze knowledge base, feeds results to specialists, synthesizes their outputs, and saves per-agent learnings for future recall.
  • Use Case: Run a migration planning session that collects architecture, SDK, campaign, analytics, QA, and presentation outputs from respective specialists and produces a unified, evidence-backed deliverable.

Quick Start

Use the braze skill to search the knowledge base, create an execution plan, spawn the specialist agents, and produce a single unified, evidence-backed answer for my Braze question.

Frequently Asked Questions about braze

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

FAQPage Schema
How do I get grounded answers for complex Braze platform queries instead of ad-hoc responses?

Multi-agent orchestration for Braze queries works by creating a task plan, spawning a TeamCreate with parallel specialist Agent calls, and tracking progress from semantic search through final synthesis. Specialists cover operational, integration, campaign, analytics, QA, and architecture scenarios.

Can I use multi-agent orchestration to plan a Braze migration across different technical domains?

Yes, Braze multi-agent orchestration applies to operational, integration, campaign, analytics, QA, and architecture scenarios. It performs semantic search across the knowledge base, creates TaskCreate workflow steps, and spawns TeamCreate and Agent calls with explicit context and search hints for each domain.

What's the best way to coordinate specialist agents for Braze campaign and analytics tasks?

Specialist agents for Braze queries are coordinated through a task plan that tracks workflow steps from search through synthesis. The orchestration spawns TeamCreate and parallel Agent calls, feeds semantic search results to specialists, and saves per-agent and consultant learnings for future recall.

How does semantic search over a Braze knowledge base improve platform query results?

Braze multi-agent orchestration is limited to scenarios supported by the knowledge base, relying entirely on semantic search results for grounded answers. It does not generate ad-hoc responses outside the knowledge base scope, meaning specialists cannot answer queries lacking supporting documentation.