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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.

GroupAgentsComplexityDocumentation
RPI Orchestration6HighRPI Documentation
Code Review3MediumCode Review
GitHub Backlog Management1 activeVery HighBacklog Manager
ADO Backlog Management2 activeVery HighBacklog Manager
Jira Backlog Management2 activeVery HighBacklog Manager
Project Planning10Medium-HighProject Planning
Security Planning3 activeVery HighSecurity Planner, SSSC Planner
RAI Planning1 activeVery HighRAI Planner
Data Science5MediumData Science
Experimental2MediumExperiment Designer
DevOps Quality1HighPlanned
Meta/Engineering2HighPrompt Builder, Doc Ops
Infrastructure1Very HighPlanned
Utility1Low-MediumMemory Agent
Design Thinking2HighActive

RPI Orchestration​

The Research, Plan, Implement methodology separates complex tasks into specialized phases. Six agents (task-researcher, task-planner, task-implementor, task-reviewer, task-challenger, and the RPI orchestrator) coordinate through planning files to deliver structured engineering workflows. See the RPI Documentation for the full guide.

Code Review​

Three agents provide pre-PR code review on local branches. Code Review Functional catches logic errors, edge cases, and error handling gaps across five focus areas. Code Review Standards enforces project-defined conventions through dynamically loaded language skills. Code Review Full orchestrates both in a single pass and produces a merged, deduplicated report. See the Code Review Documentation for usage guides and skill authoring.

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 discovery, triage, sprint planning, execution, PR creation, build monitoring, and task planning across Azure DevOps projects. The ADO Backlog Manager agent orchestrates nine distinct workflows with three-tier autonomy control. The PRD-to-WIT agent translates product requirements into structured work items. See the Backlog Manager Documentation for workflow guides.

Jira Backlog Management​

Automates issue discovery, triage, execution, and PRD-to-issue translation across Jira projects. The Jira Backlog Manager agent orchestrates workflows with three-tier autonomy control, mirroring the GitHub and ADO backlog management patterns.

Project Planning​

Ten specialized agents for project planning activities. Includes builders for Business Requirements Documents, Product Requirements Documents, Architecture Decision Records, architecture diagrams, agile coaching, meeting analysis, network ISA-95 planning, product manager advising, system architecture review, and UX/UI design. See the Project Planning Agents for detailed documentation.

Data Science​

Five agents handle evaluation dataset creation, data specification generation, Jupyter notebook generation, and Streamlit dashboard generation and testing.

Experimental​

Exploratory agents for emerging workflows. Includes the Experiment Designer for minimum viable experiment (MVE) coaching and the PowerPoint Builder for YAML-driven slide deck generation.

DevOps Quality​

Agents focused on deployment reliability 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. The doc-ops agent manages documentation coverage analysis and freshness tracking across the repository.

Infrastructure​

Manages cloud infrastructure provisioning and configuration. Handles Bicep and Terraform deployments with validation and drift detection.

Utility​

General-purpose agents for cross-cutting concerns such as session persistence and context management across workflows.

Security Planning​

Guides teams through a six-phase security assessment covering system scoping, operational bucketing, standards mapping, security model analysis, impact assessment, and backlog handoff. The security planner agent conducts interactive sessions with structured state tracking and produces dual-platform work items for ADO and GitHub. The security reviewer agent performs automated security analysis of code changes. See the Security Planner Documentation for phase details and entry modes.

The SSSC Planner guides teams through a structured six-phase supply chain security assessment. It inventories 27 supply chain capabilities, maps against OpenSSF Scorecard, SLSA, Sigstore, and SBOM standards, performs gap analysis with adoption categories, and generates priority-sorted backlog items. Supports four entry modes: capture, from-PRD, from-BRD, and from-security-plan. See SSSC Planning for details.

RAI Planning​

Guides teams through a six-phase responsible AI assessment planning workflow covering AI system scoping, risk classification, RAI standards mapping, security model analysis, impact assessment, and review with backlog handoff. The RAI planner agent builds on security plan outputs when available and produces dual-platform work items for identified gaps. See the RAI Planner Documentation for phase details and entry modes.

Design Thinking​

The Design Thinking agents provide AI-assisted coaching through a nine-method, three-space framework for human-centered design.

AgentPurpose
dt-coachCoaches teams through all 9 DT methods with session tracking
dt-learning-tutorTeaches DT curriculum with exercises and assessments

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