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HVE Core Documentation

HVE Core gives your team agents, coding instructions, and skills for GitHub Copilot. You get structured Research → Plan → Implement workflows, schema-checked quality gates, and role-specific tooling across 10 engineering disciplines.

Choose Your Installation​

Most people should start with the plugin. Installing HVE Core compares every route.

RouteWhat you getChoose it when
Plugin ⭐Every agent, skill, and instruction, following mainYou want the full set in VS Code or Copilot CLI
VS Code extensionAgents and skills from the VS Code MarketplaceYou manage editor tools through the Marketplace
Repository copyCopies of every component, owned by your repositoryYour repository should own and customize HVE Core

Not sure which to choose? See the installation methods comparison for a detailed breakdown.

HVE Core no longer ships prompt files. If you used a former prompt command such as /rpi or /security-review, Retired Prompt Commands maps each one to its replacement.

Find Your Path​

New to HVE Core?​

Get up and running with installation, configuration, and your first AI-assisted workflow.

Leading a Team?​

Set up HVE Core for your team with governance, repository adoption, and customization options.

Contributing to HVE Core?​

Create and maintain agents, prompts, instructions, and skills for the framework.

Going Deeper?​

Explore advanced capabilities including Design Thinking coaching, security planning, and methodology reference.

Roles​

HVE Core provides dedicated tooling for 10 engineering roles, each with curated agents, skills, and starter workflows. Find your role guide on the Role Guides page.

AI-Assisted Project Lifecycle​

HVE Core supports a 9-stage lifecycle from initial setup through ongoing operations. Each stage maps to specific agents, skills, and role-specific guidance.

Explore the full lifecycle →

Agent Systems​

Specialized agents are organized into functional groups that combine agents, skills, and instruction files into cohesive workflows.

  • RPI Orchestration separates complex tasks into research, planning, implementation, and review phases
  • Project Planning creates ADRs, BRDs, PRDs, architecture diagrams, and security plans through guided AI workflows
  • Backlog Management automates work discovery, triage, sprint planning, and execution across Azure DevOps, GitHub, and Jira
  • Additional systems are documented in the Agent Catalog

Browse the Agent Catalog →

RPI Methodology​

Research, Plan, Implement, Review (RPI) decomposes complex engineering tasks into phase skills coordinated by RPI Agent or invoked directly.

  • Why RPI? explains the problem statement and design rationale
  • RPI overview introduces RPI Agent and the direct rpi-* phase skills
  • Using Together describes phase coordination and durable handoffs
  • RPI Workflow Canvas shows a session phase by phase beside the chat, where you answer the agent's decisions and send it input

RPI Documentation →

Design Thinking​

The dt-coach agent guides teams through nine Design Thinking methods across problem space, solution space, and validation.

Browse all Design Thinking docs →

Prompt Engineering​

HVE Core structures AI artifacts with protocol patterns, input variables, and evidence-backed quality gates.

  • The hve-builder skill creates, improves, refactors, replaces, reviews, and validates AI artifacts through one lifecycle
  • AI Artifacts Overview covers common patterns across artifact types
  • Activation Context explains when artifacts activate within workflows
ResourceDescription
Customization GuideAdapt HVE Core to your workflow
CHANGELOGRelease history and version notes
CONTRIBUTINGRepository contribution guidelines
Scripts READMEAutomation script reference
Extension READMEVS Code extension documentation

🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.