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feat: transform QA agent into Test Architect with advanced quality ca… (#433)

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* feat: transform QA agent into Test Architect with advanced quality capabilities

  - Add 6 specialized quality assessment commands
  - Implement risk-based testing with scoring
  - Create quality gate system with deterministic decisions
  - Add comprehensive test design and NFR validation
  - Update documentation with stage-based workflow integration

* feat: transform QA agent into Test Architect with advanced quality capabilities

  - Add 6 specialized quality assessment commands
  - Implement risk-based testing with scoring
  - Create quality gate system with deterministic decisions
  - Add comprehensive test design and NFR validation
  - Update documentation with stage-based workflow integration

* docs: refined the docs for test architect

* fix: addressed review comments from manjaroblack, round 1

* fix: addressed review comments from manjaroblack, round 1

---------

Co-authored-by: Murat Ozcan <murat@mac.lan>
Co-authored-by: Brian <bmadcode@gmail.com>
This commit is contained in:
Murat K Ozcan
2025-08-15 21:02:37 -05:00
committed by GitHub
parent 33269c888d
commit 0b61175d98
76 changed files with 9245 additions and 1442 deletions
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28
expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/README.md
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@@ -8,21 +8,21 @@ This expansion pack provides a complete, deployable starter kit for building and
## Features
* **Automated GCP Setup**: `gcloud` scripts to configure your project, service accounts, and required APIs in minutes.
* **Production-Ready Deployment**: Includes a `Dockerfile` and `cloudbuild.yaml` for easy, repeatable deployments to Google Cloud Run.
* **Rich Template Library**: A comprehensive set of BMad-compatible templates for Teams, Agents, Tasks, Workflows, Documents, and Checklists.
* **Pre-configured Agent Roles**: Includes powerful master templates for key agent archetypes like Orchestrators and Specialists.
* **Highly Customizable**: Easily adapt the entire system with company-specific variables and industry-specific configurations.
* **Powered by Google ADK**: Built on the official Google Agent Development Kit for robust and native integration with Vertex AI services.
- **Automated GCP Setup**: `gcloud` scripts to configure your project, service accounts, and required APIs in minutes.
- **Production-Ready Deployment**: Includes a `Dockerfile` and `cloudbuild.yaml` for easy, repeatable deployments to Google Cloud Run.
- **Rich Template Library**: A comprehensive set of BMad-compatible templates for Teams, Agents, Tasks, Workflows, Documents, and Checklists.
- **Pre-configured Agent Roles**: Includes powerful master templates for key agent archetypes like Orchestrators and Specialists.
- **Highly Customizable**: Easily adapt the entire system with company-specific variables and industry-specific configurations.
- **Powered by Google ADK**: Built on the official Google Agent Development Kit for robust and native integration with Vertex AI services.
## Prerequisites
Before you begin, ensure you have the following installed and configured:
* A Google Cloud Platform (GCP) Account with an active billing account.
* The [Google Cloud SDK (`gcloud` CLI)](https://www.google.com/search?q=%5Bhttps://cloud.google.com/sdk/docs/install%5D\(https://cloud.google.com/sdk/docs/install\)) installed and authenticated.
* [Docker](https://www.docker.com/products/docker-desktop/) installed on your local machine.
* Python 3.11+
- A Google Cloud Platform (GCP) Account with an active billing account.
- The [Google Cloud SDK (`gcloud` CLI)](<https://www.google.com/search?q=%5Bhttps://cloud.google.com/sdk/docs/install%5D(https://cloud.google.com/sdk/docs/install)>) installed and authenticated.
- [Docker](https://www.docker.com/products/docker-desktop/) installed on your local machine.
- Python 3.11+
## Quick Start Guide
@@ -32,9 +32,9 @@ Follow these steps to get your own AI agent system running on Google Cloud.
The setup scripts use placeholder variables. Before running them, open the files in the `/scripts` directory and replace the following placeholders with your own values:
* `{{PROJECT_ID}}`: Your unique Google Cloud project ID.
* `{{COMPANY_NAME}}`: Your company or project name (used for naming resources).
* `{{LOCATION}}`: The GCP region you want to deploy to (e.g., `us-central1`).
- `{{PROJECT_ID}}`: Your unique Google Cloud project ID.
- `{{COMPANY_NAME}}`: Your company or project name (used for naming resources).
- `{{LOCATION}}`: The GCP region you want to deploy to (e.g., `us-central1`).
### 2\. Run the GCP Setup Scripts
@@ -106,4 +106,4 @@ This expansion pack has a comprehensive structure to get you started:
## Contributing
Contributions are welcome\! Please follow the main project's `CONTRIBUTING.md` guidelines. For major changes or new features for this expansion pack, please open an issue or discussion first.
Contributions are welcome\! Please follow the main project's `CONTRIBUTING.md` guidelines. For major changes or new features for this expansion pack, please open an issue or discussion first.