HVE Core - Project Planning
PRDs, BRDs, ADRs, and architecture diagrams
Create architecture decision records, requirements documents, and diagrams — all through guided AI workflows. Evaluate AI-powered systems against Responsible AI standards and conduct STRIDE-based security model analysis with automated backlog generation.
Included Artifacts
Chat Agents
| Name |
Description |
| 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 |
| implementation-validator |
Validates implementation quality against architectural requirements, design principles, and code standards with severity-graded findings |
| meeting-analyst |
Meeting transcript analyzer that extracts product requirements for PRD creation via work-iq-mcp |
| network-isa95-planner |
ISA-95-aligned network planning assistant for secure edge Kubernetes to Azure connectivity, remediation roadmaps, and beginner-friendly guidance |
| 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 |
| 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 |
| rai-planner |
Responsible AI assessment planning agent with 6-phase conversational workflow. Guides planning against NIST AI RMF 1.0 as the default evaluation framework. Prepares RAI security model, impact assessment, control surface catalog, and dual-format backlog handoff. |
| researcher-subagent |
Research subagent using search tools, read tools, fetch web page, github repo, and mcp tools |
| rpi-agent |
Autonomous RPI orchestrator running Research → Plan → Implement → Review → Discover phases, using specialized subagents when task difficulty warrants them |
| rpi-validator |
Validates a Changes Log against the Implementation Plan, Planning Log, and Research Documents for a specific plan phase |
| security-planner |
Phase-based security planner that produces security models, standards mappings, and backlog handoff artifacts with AI/ML component detection and RAI Planner integration |
| sssc-planner |
Guides users through a six-phase assessment of their repository's supply chain security posture against OpenSSF Scorecard, SLSA, Sigstore, and SBOM standards, producing a prioritized backlog referencing reusable workflows from hve-core and microsoft/physical-ai-toolchain. |
| system-architecture-reviewer |
System architecture reviewer for design trade-offs, ADR creation, and well-architected alignment |
| ux-ui-designer |
UX research specialist for Jobs-to-be-Done analysis, user journey mapping, and accessibility requirements |
Prompts
| Name |
Description |
| incident-response |
Incident response workflow for Azure operations scenarios |
| rai-capture |
Initiate responsible AI assessment planning from existing knowledge using the RAI Planner agent in capture mode |
| rai-plan-from-prd |
Initiate responsible AI assessment planning from PRD/BRD artifacts using the RAI Planner agent in from-prd mode |
| rai-plan-from-security-plan |
Initiate responsible AI assessment planning from a completed Security Plan using the RAI Planner agent in from-security-plan mode (recommended) |
| risk-register |
Creates a concise and well-structured qualitative risk register using a Probability × Impact (P×I) risk matrix. |
| security-capture |
Initiate security planning from existing notes or knowledge using the Security Planner agent in capture mode |
| security-plan-from-prd |
Initiate security planning from PRD/BRD artifacts using the Security Planner agent in from-prd mode |
| sssc-capture |
Start a new SSSC assessment via guided conversation using the SSSC Planner agent in capture mode |
| sssc-from-brd |
Start an SSSC assessment from existing BRD artifacts using the SSSC Planner agent |
| sssc-from-prd |
Start an SSSC assessment from existing PRD artifacts using the SSSC Planner agent |
| sssc-from-security-plan |
Extend a Security Planner assessment with supply chain coverage using the SSSC Planner agent |
Instructions
| Name |
Description |
| rai-planning/rai-backlog-handoff |
RAI review and backlog handoff for Phase 6: review rubric, RAI review summary, dual-format backlog generation |
| rai-planning/rai-capture-coaching |
Exploration-first questioning techniques for RAI capture mode adapted from Design Thinking research methods |
| rai-planning/rai-identity |
RAI Planner identity, 6-phase orchestration, state management, and session recovery |
| rai-planning/rai-impact-assessment |
RAI impact assessment for Phase 5: control surface taxonomy, evidence register, tradeoff documentation, and work item generation |
| rai-planning/rai-risk-classification |
Risk classification screening for Phase 2: prohibited uses gate, risk indicator assessment, and depth tier assignment |
| rai-planning/rai-security-model |
RAI security model analysis for Phase 4: AI STRIDE extensions, dual threat IDs, ML STRIDE matrix, and security model merge protocol |
| rai-planning/rai-standards |
Embedded RAI standards for Phase 3: NIST AI RMF 1.0 trustworthiness characteristics, subcategory mappings, and framework isolation architecture |
| security/backlog-handoff |
Dual-format backlog handoff for ADO and GitHub with content sanitization, autonomy tiers, and work item templates |
| security/identity |
Security Planner identity, six-phase orchestration, state management, and session recovery protocols |
| security/operational-buckets |
Operational bucket definitions with component classification guidance and cross-cutting security concerns |
| security/security-model |
STRIDE-based security model analysis per operational bucket with threat table format and data flow analysis |
| security/sssc-assessment |
Phase 2 supply chain assessment protocol with the 27 combined capabilities inventory for SSSC Planner. |
| security/sssc-backlog |
Phase 5 dual-format work item generation with templates and priority derivation for SSSC Planner. |
| security/sssc-gap-analysis |
Phase 4 gap comparison, adoption categorization, and effort sizing for SSSC Planner. |
| security/sssc-handoff |
Phase 6 backlog handoff protocol with Scorecard projections and dual-format output for SSSC Planner. |
| security/sssc-identity |
Identity and orchestration instructions for the SSSC Planner agent. Contains six-phase workflow, state.json schema, session recovery, and question cadence. |
| security/sssc-standards |
Phase 3 OpenSSF Scorecard, SLSA, Best Practices Badge, Sigstore, and SBOM standards mapping for SSSC Planner. |
| security/standards-mapping |
Embedded OWASP and NIST security standards with researcher subagent delegation for CIS, WAF, CAF, and other runtime lookups |
| shared/disclaimer-language |
Centralized disclaimer language for AI-assisted planning agents requiring professional review acknowledgment |
| 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. |
| shared/story-quality |
Shared story quality conventions for work item creation and evaluation across agents and workflows |
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.
Browse All Collections
This extension is part of the HVE ecosystem.
See the full list of available collections and capabilities:
Browse Extension Collections
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.
Full Edition
Looking for more agents covering additional domains? Check out the full HVE Core extension.
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
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