Agent Systems Catalog
hve-core organizes specialized agents into functional groups. Each group combines agents, prompts, and instruction files into cohesive workflows for specific engineering tasks.
| Group | Agents | Complexity | Documentation |
|---|---|---|---|
| RPI Orchestration | 5 | High | RPI Documentation |
| GitHub Backlog Management | 1 active | Very High | Backlog Manager |
| ADO Backlog Management | 1 active | Very High | Backlog Manager |
| Document Builders | 4 | Medium-High | Planned |
| Data Pipeline | 4 | Medium | Planned |
| DevOps Quality | 2 | High | Planned |
| Meta/Engineering | 1 | High | Planned |
| Infrastructure | 1 | Very High | Planned |
| Utility | 1 | Low-Medium | Planned |
| Design Thinking | 2 | High | Active |
RPI Orchestration
The Research, Plan, Implement methodology separates complex tasks into specialized phases. Five agents (task-researcher, task-planner, task-implementor, task-reviewer, and the RPI orchestrator) coordinate through planning files to deliver structured engineering workflows. See the RPI Documentation for the full guide.
GitHub Backlog Management
Automates issue discovery, triage, sprint planning, and execution across GitHub repositories. The backlog manager agent orchestrates five distinct workflows with three-tier autonomy control. See the Backlog Manager Documentation for workflow guides.
ADO Backlog Management
Automates work item triage, discovery, sprint planning, and execution across Azure DevOps projects. The ADO Backlog Manager agent orchestrates nine distinct workflows with three-tier autonomy control. See the Backlog Manager Documentation for workflow guides.
Document Builders
Four specialized agents for creating structured documents. Includes builders for Architecture Decision Records, Business Requirements Documents, Product Requirements Documents, and security plans.
Data Pipeline
Processes and transforms data across formats and systems. Four agents handle data extraction, transformation, validation, and loading workflows.
DevOps Quality
Two agents focused on code quality and deployment reliability. Covers PR review automation and build pipeline analysis.
Meta/Engineering
The prompt builder agent creates and validates prompt engineering artifacts. Supports interactive authoring with sandbox testing for prompts, instructions, agents, and skills.
Infrastructure
Manages cloud infrastructure provisioning and configuration. Handles Bicep and Terraform deployments with validation and drift detection.
Utility
General-purpose agents for common development tasks such as file organization, content transformation, and small automation helpers.
Design Thinking
The Design Thinking agents provide AI-assisted coaching through a nine-method, three-space framework for human-centered design.
| Agent | Purpose |
|---|---|
dt-coach | Coaches teams through all 9 DT methods with session tracking |
dt-learning-tutor | Teaches DT curriculum with exercises and assessments |
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