HVE Core

Full bundle of all stable HVE Core agents, prompts, instructions, and skills

HVE Core provides the complete collection of AI chat agents, prompts, instructions, and skills for VS Code with GitHub Copilot. This edition includes every artifact across all domains — development workflows, architecture, Azure DevOps, data science, security, and more.

Use this edition when you want access to everything without choosing a focused collection.

Included Artifacts

Chat Agents

Name	Description
ado-prd-to-wit	Product Manager expert for analyzing PRDs and planning Azure DevOps work item hierarchies
adr-creation	Interactive AI coaching for collaborative architectural decision record creation with guided discovery, research integration, and progressive documentation building - Brought to you by microsoft/edge-ai
arch-diagram-builder	Architecture diagram builder agent that builds high quality ASCII-art diagrams
brd-builder	Business Requirements Document builder with guided Q&A and reference integration
doc-ops	Autonomous documentation operations agent for pattern compliance, accuracy verification, and gap detection
gen-data-spec	Generate comprehensive data dictionaries, machine-readable data profiles, and objective summaries for downstream analysis (EDA notebooks, dashboards) through guided discovery
gen-jupyter-notebook	Create structured exploratory data analysis Jupyter notebooks from available data sources and generated data dictionaries
gen-streamlit-dashboard	Develop a multi-page Streamlit dashboard
github-backlog-manager	Orchestrator agent for GitHub backlog management workflows including triage, discovery, sprint planning, and execution
github-issue-manager	Deprecated: replaced by github-backlog-manager.agent.md for GitHub issue and backlog management
hve-core-installer	Decision-driven installer for HVE-Core with 6 installation methods for local, devcontainer, and Codespaces environments
memory	Conversation memory persistence for session continuity
pr-review	Comprehensive Pull Request review assistant ensuring code quality, security, and convention compliance
prd-builder	Product Requirements Document builder with guided Q&A and reference integration
prompt-builder	Prompt engineering assistant with phase-based workflow for creating and validating prompts, agents, and instructions files
rpi-agent	Autonomous RPI orchestrator dispatching task-* agents through Research → Plan → Implement → Review → Discover phases
security-plan-creator	Expert security architect for creating comprehensive cloud security plans
task-implementor	Executes implementation plans from .copilot-tracking/plans with progressive tracking and change records
task-planner	Implementation planner for creating actionable implementation plans
task-researcher	Task research specialist for comprehensive project analysis
task-reviewer	Reviews completed implementation work for accuracy, completeness, and convention compliance
test-streamlit-dashboard	Automated testing for Streamlit dashboards using Playwright with issue tracking and reporting

Prompts

Name	Description
ado-create-pull-request	Generate pull request description, discover related work items, identify reviewers, and create Azure DevOps pull request with all linkages.
ado-get-build-info	Retrieve Azure DevOps build information for a Pull Request or specific Build Number.
ado-get-my-work-items	Retrieve user's current Azure DevOps work items and organize them into planning file definitions
ado-process-my-work-items-for-task-planning	Process retrieved work items for task planning and generate task-planning-logs.md handoff file
ado-update-wit-items	Prompt to update work items based on planning files
checkpoint	Save or restore conversation context using memory files
doc-ops-update	Invoke doc-ops agent for documentation quality assurance and updates
git-commit	Stages all changes, generates a conventional commit message, shows it to the user, and commits using only git add/commit
git-commit-message	Generates a commit message following the commit-message.instructions.md rules based on all changes in the branch
git-merge	Coordinate Git merge, rebase, and rebase --onto workflows with consistent conflict handling.
git-setup	Interactive, verification-first Git configuration assistant (non-destructive)
github-add-issue	Create a GitHub issue using discovered repository templates and conversational field collection
github-discover-issues	Discover GitHub issues through user-centric queries, artifact-driven analysis, or search-based exploration and produce planning files for review
github-execute-backlog	Execute a GitHub backlog plan by creating, updating, linking, closing, and commenting on issues from a handoff file
github-sprint-plan	Plan a GitHub milestone sprint by analyzing issue coverage, identifying gaps, and organizing work into a prioritized sprint backlog
github-triage-issues	Triage GitHub issues not yet triaged with automated label suggestions, milestone assignment, and duplicate detection
incident-response	Incident response workflow for Azure operations scenarios
prompt-analyze	Evaluates prompt engineering artifacts against quality criteria and reports findings
prompt-build	Build or improve prompt engineering artifacts following quality criteria
prompt-refactor	Refactors and cleans up prompt engineering artifacts through iterative improvement
pull-request	Provides prompt instructions for pull request (PR) generation - Brought to you by microsoft/edge-ai
risk-register	Creates a concise and well-structured qualitative risk register using a Probability × Impact (P×I) risk matrix.
rpi	Autonomous Research-Plan-Implement-Review-Discover workflow for completing tasks
task-implement	Locates and executes implementation plans using task-implementor mode
task-plan	Initiates implementation planning based on user context or research documents
task-research	Initiates research for implementation planning based on user requirements
task-review	Initiates implementation review based on user context or automatic artifact discovery

Instructions

Name	Description
ado-create-pull-request	Required protocol for creating Azure DevOps pull requests with work item discovery, reviewer identification, and automated linking.
ado-get-build-info	Required instructions for anything related to Azure Devops or ado build information including status, logs, or details from provided pullrequest (PR), build Id, or branch name.
ado-update-wit-items	Work item creation and update protocol using MCP ADO tools with handoff tracking
ado-wit-discovery	Protocol for discovering Azure DevOps work items via user assignment or artifact analysis with planning file output
ado-wit-planning	Reference specification for Azure DevOps work item planning files, templates, field definitions, and search protocols
bash/bash	Instructions for bash script implementation - Brought to you by microsoft/edge-ai
bicep/bicep	Instructions for Bicep infrastructure as code implementation
commit-message	Required instructions for creating all commit messages
community-interaction	Community interaction voice, tone, and response templates for GitHub-facing agents and prompts
csharp/csharp	Required instructions for C# (CSharp) research, planning, implementation, editing, or creating
csharp/csharp-tests	Required instructions for C# (CSharp) test code research, planning, implementation, editing, or creating
git-merge	Required protocol for Git merge, rebase, and rebase --onto workflows with conflict handling and stop controls.
github-backlog-discovery	Discovery protocol for GitHub backlog management - artifact-driven, user-centric, and search-based issue discovery
github-backlog-planning	Reference specification for GitHub backlog management tooling - planning files, search protocols, similarity assessment, and state persistence
github-backlog-triage	Triage workflow for GitHub issue backlog management - automated label suggestion, milestone assignment, and duplicate detection
github-backlog-update	Execution workflow for GitHub issue backlog management - consumes planning handoffs and executes issue operations
hve-core-location	Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree.
markdown	Required instructions for creating or editing any Markdown (.md) files
prompt-builder	Authoring standards for prompt engineering artifacts including file types, protocol patterns, writing style, and quality criteria
python-script	Instructions for Python scripting implementation
terraform/terraform	Instructions for Terraform infrastructure as code implementation
uv-projects	Create and manage Python virtual environments using uv commands
writing-style	Required writing style conventions for voice, tone, and language in all markdown content

Skills

Name	Description
video-to-gif	Video-to-GIF conversion skill with FFmpeg two-pass optimization

Getting Started

After installing this extension, the chat agents are available in GitHub Copilot Chat:

Use custom agents by selecting the custom agent from the agent picker drop-down list in Copilot Chat
Apply prompts through the Copilot Chat interface
Reference instructions — they are automatically applied based on file patterns

Post-Installation Setup

Some chat agents create workflow artifacts in your project directory. See the installation guide for recommended .gitignore configuration and other setup details.

Pre-release Channel

HVE Core offers two installation channels:

Channel	Description	Maturity Levels
Stable	Production-ready artifacts only	`stable`
Pre-release	Early access to new features and experimental artifacts	`stable`, `preview`, `experimental`

To install the pre-release version, select Install Pre-Release Version from the extension page in VS Code.

Requirements

VS Code version 1.106.1 or higher
GitHub Copilot extension

License

MIT License - see LICENSE for details

Support

For issues, questions, or contributions, visit the GitHub repository.

Brought to you by Microsoft ISE HVE Essentials