HVE Core - All

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.

Supporting subagents included:

Codebase Researcher — Searches workspace for code patterns, conventions, and implementations
External Researcher — Retrieves external documentation, SDK references, and code samples
Phase Implementor — Executes single implementation phases with change tracking
Artifact Validator — Validates implementation work against plans and conventions
Prompt Tester — Tests prompt files by following them literally in a sandbox
Prompt Evaluator — Evaluates prompt execution results against quality criteria

Skills included:

PR Reference — Generates PR reference XML files with commit history and diffs for pull request workflows
Video to GIF — Converts video files to optimized GIF animations using FFmpeg two-pass palette optimization

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
agile-coach	Conversational agent that helps create or refine goal-oriented user stories with clear acceptance criteria for any tracking tool
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
dt-coach	Design Thinking coach guiding teams through the 9-method HVE framework with Think/Speak/Empower philosophy
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
hve-core-installer	Decision-driven installer for HVE-Core with 6 installation methods for local, devcontainer, and Codespaces environments
implementation-validator	Validates implementation quality against architectural requirements, design principles, and code standards with severity-graded findings
memory	Conversation memory persistence for session continuity
phase-implementor	Executes a single implementation phase from a plan with full codebase access and change tracking
plan-validator	Validates implementation plans against research documents, updating the Planning Log Discrepancy Log section with severity-graded findings
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
product-manager-advisor	Product management advisor for requirements discovery, validation, and issue creation
prompt-builder	Prompt engineering assistant with phase-based workflow for creating and validating prompts, agents, and instructions files
prompt-evaluator	Evaluates prompt execution results against Prompt Quality Criteria with severity-graded findings and categorized remediation guidance
prompt-tester	Tests prompt files by following them literally in a sandbox environment when creating or improving prompts, instructions, agents, or skills without improving or interpreting beyond face value
prompt-updater	Modifies or creates prompts, instructions or rules, agents, skills following prompt engineering conventions and standards based on prompt evaluation and research
researcher-subagent	Research subagent using search tools, read tools, fetch web page, github repo, and mcp tools
rpi-agent	Autonomous RPI orchestrator running specialized subagents through Research → Plan → Implement → Review → Discover phases
rpi-validator	Validates a Changes Log against the Implementation Plan, Planning Log, and Research Documents for a specific plan phase
security-plan-creator	Expert security architect for creating comprehensive cloud security plans
system-architecture-reviewer	System architecture reviewer for design trade-offs, ADR creation, and well-architected alignment
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
ux-ui-designer	UX research specialist for Jobs-to-be-Done analysis, user journey mapping, and accessibility requirements

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
dt-handoff-problem-space	Problem Space exit handoff — compiles DT Methods 1-3 outputs into RPI-ready artifact targeting task-researcher
dt-resume-coaching	Resume a Design Thinking coaching session — reads coaching state and re-establishes context
dt-start-project	Start a new Design Thinking coaching project with state initialization and first coaching interaction
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	Generates pull request descriptions from branch diffs
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
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/ado-create-pull-request	Required protocol for creating Azure DevOps pull requests with work item discovery, reviewer identification, and automated linking.
ado/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/ado-update-wit-items	Work item creation and update protocol using MCP ADO tools with handoff tracking
ado/ado-wit-discovery	Protocol for discovering Azure DevOps work items via user assignment or artifact analysis with planning file output
ado/ado-wit-planning	Reference specification for Azure DevOps work item planning files, templates, field definitions, and search protocols
coding-standards/bash/bash	Instructions for bash script implementation - Brought to you by microsoft/edge-ai
coding-standards/bicep/bicep	Instructions for Bicep infrastructure as code implementation
coding-standards/csharp/csharp	Required instructions for C# (CSharp) research, planning, implementation, editing, or creating
coding-standards/csharp/csharp-tests	Required instructions for C# (CSharp) test code research, planning, implementation, editing, or creating
coding-standards/python-script	Instructions for Python scripting implementation
coding-standards/terraform/terraform	Instructions for Terraform infrastructure as code implementation
coding-standards/uv-projects	Create and manage Python virtual environments using uv commands
design-thinking/dt-coaching-identity	Required instructions when working with or doing any Design Thinking (DT); Contains instructions for the Design Thinking coach identity, philosophy, and user interaction and communication requirements for consistent coaching behavior.
design-thinking/dt-coaching-state	Coaching state schema for Design Thinking session persistence, method progress tracking, and session recovery
design-thinking/dt-curriculum-01-scoping	DT Curriculum Module 1: Scope Conversations — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-02-research	DT Curriculum Module 2: Design Research — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-03-synthesis	DT Curriculum Module 3: Synthesis — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-04-brainstorming	DT Curriculum Module 4: Brainstorming — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-05-concepts	DT Curriculum Module 5: User Concepts — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-06-prototypes	DT Curriculum Module 6: Low-Fidelity Prototypes — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-07-testing	DT Curriculum Module 7: High-Fidelity Prototypes — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-08-iteration	DT Curriculum Module 8: User Testing — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-09-handoff	DT Curriculum Module 9: Iteration at Scale — concepts, techniques, checks, and exercises
design-thinking/dt-curriculum-scenario-manufacturing	Manufacturing reference scenario for DT learning — factory floor improvement project used across all 9 curriculum modules
design-thinking/dt-industry-energy	Energy industry context for DT coaching — vocabulary, constraints, empathy tools, and reference scenarios
design-thinking/dt-industry-healthcare	Healthcare industry context for DT coaching — vocabulary, constraints, empathy tools, and reference scenarios
design-thinking/dt-industry-manufacturing	Manufacturing industry context for DT coaching — vocabulary, constraints, empathy tools, and reference scenarios
design-thinking/dt-method-01-deep	Deep expertise for Method 1: Scope Conversations, covering advanced stakeholder analysis, power dynamics, and scope negotiation
design-thinking/dt-method-01-scope	Method 1 Scope Conversations coaching knowledge for Design Thinking: frozen vs fluid assessment, stakeholder discovery, constraint patterns, and conversation navigation
design-thinking/dt-method-02-deep	Deep expertise for Method 2: Design Research, covering advanced interview techniques, ethnographic observation, and evidence triangulation
design-thinking/dt-method-02-research	Method 2 Design Research coaching knowledge: interview techniques, research planning, environmental observation, and insight extraction patterns
design-thinking/dt-method-03-deep	Deep expertise for Method 3: Input Synthesis — advanced affinity analysis, insight frameworks, and problem statement articulation
design-thinking/dt-method-03-synthesis	Method 3 Input Synthesis coaching knowledge: pattern recognition, theme development, synthesis validation, and Problem-to-Solution Space transition readiness
design-thinking/dt-method-04-brainstorming	Design Thinking Method 4: AI-assisted brainstorming with divergent ideation and convergent clustering for solution space entry
design-thinking/dt-method-05-concepts	Design Thinking Method 5: User Concepts coaching with concept articulation, three-lens evaluation, and stakeholder alignment for Solution Space development
design-thinking/dt-method-06-lofi-prototypes	Design Thinking Method 6: Lo-fi prototyping techniques, scrappy enforcement, feedback planning, and constraint discovery for Solution Space exit
design-thinking/dt-method-07-deep	Deep expertise for Method 7: High-Fidelity Prototypes; fidelity translation, architecture, and specification writing
design-thinking/dt-method-07-hifi-prototypes	Design Thinking Method 7: High-Fidelity Prototypes; technical translation, functional prototypes, and specifications
design-thinking/dt-method-08-deep	Deep expertise for Method 8: Test and Validate — advanced test design, small-sample analysis, iteration triggers, and bias mitigation
design-thinking/dt-method-08-testing	Design Thinking Method 8: User Testing - evidence-based evaluation, test protocols, and non-linear iteration support
design-thinking/dt-method-09-deep	Deep expertise for Method 9: Iteration at Scale — change management, scaling, and adoption measurement
design-thinking/dt-method-09-iteration	Design Thinking Method 9: Iteration at Scale — systematic refinement, scaling patterns, and organizational deployment
design-thinking/dt-method-sequencing	Method transition rules, nine-method sequence, space boundaries, and non-linear iteration support for Design Thinking coaching
design-thinking/dt-quality-constraints	Quality constraints, fidelity rules, and output standards for Design Thinking coaching across all nine methods
design-thinking/dt-rpi-handoff-contract	DT-to-RPI handoff contract defining exit points, artifact schemas, and per-agent input requirements for lateral transitions from Design Thinking to RPI workflow
design-thinking/dt-rpi-research-context	DT-aware task-researcher context — frames research around DT methods, stakeholder needs, and empathy-driven inquiry
github/community-interaction	Community interaction voice, tone, and response templates for GitHub-facing agents and prompts
github/github-backlog-discovery	Discovery protocol for GitHub backlog management - artifact-driven, user-centric, and search-based issue discovery
github/github-backlog-planning	Reference specification for GitHub backlog management tooling - planning files, search protocols, similarity assessment, and state persistence
github/github-backlog-triage	Triage workflow for GitHub issue backlog management - automated label suggestion, milestone assignment, and duplicate detection
github/github-backlog-update	Execution workflow for GitHub issue backlog management - consumes planning handoffs and executes issue operations
hve-core/commit-message	Required instructions for creating all commit messages
hve-core/git-merge	Required protocol for Git merge, rebase, and rebase --onto workflows with conflict handling and stop controls.
hve-core/markdown	Required instructions for creating or editing any Markdown (.md) files
hve-core/prompt-builder	Authoring standards for prompt engineering artifacts including prompts, agents, instructions, and skills
hve-core/pull-request	Required instructions for pull request description generation and optional PR creation using diff analysis, subagent review, and MCP tools
hve-core/writing-style	Required writing style conventions for voice, tone, and language in all markdown content
shared/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.

Skills

Name	Description
pr-reference	Generates PR reference XML containing commit history and unified diffs between branches. Includes utilities to list changed files and read diff chunks. Use when creating pull request descriptions, preparing code reviews, analyzing branch changes, discovering work items from diffs, or generating structured diff summaries.
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