- Dt Coaching FoundationDesign Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflowmicrosoft/hve-core1,509
- Dt CurriculumDesign Thinking learning curriculum covering nine progressive modules across the full Problem, Solution, and Implementation Space methods plus a shared manufacturing reference scenario for teaching and practicemicrosoft/hve-core1,509
- Dt Figma ExportExport Design Thinking artifacts to a FigJam board or Figma Design file through the Figma MCP server. Use when a team wants collaborative visual review of Method 1, 3, 4, 5, or 6 artifacts, or accepts a DT Coach board-export offer.microsoft/hve-core1,509
- Dt MethodsDesign Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)microsoft/hve-core1,509
- Dt Rpi IntegrationDesign Thinking handoff knowledge for research-ready rpi-research inputs and DT-aware rpi-plan, rpi-implement, and rpi-review contextmicrosoft/hve-core1,509
- Engagement Report Council CritiqueRun one independent Council critique against engagement-report research evidence. Use as the manual separate-session fallback when independent critic agents are unavailable.microsoft/hve-core1,509
- Engagement ReportingCreates source-grounded internal or external weekly engagement status reports with optional Outlook draft creation.microsoft/hve-core1,509
- Evaluation DesignDesign evaluation datasets and supporting documentation for AI systems and agents, covering the scoping interview, difficulty distribution, dataset contract, sample review, and metric and tooling selection. Use when building or reviewing an evaluation set for a conversational agent, assistant, or retrieval-grounded AI system.microsoft/hve-core1,509
- Experiment DesignExperiment design reference for problem-class framing, Minimum Viable Experiment coaching, hypothesis formation, vetting and red flags, and experiment readiness. Use when translating a stated business outcome into candidate data-science problem classes, or when framing, vetting, scoping, or evaluating an experiment of any kind, including data feasibility, architecture, LLM, performance, use-case, UX, prototyping, and hardware experiments.microsoft/hve-core1,509
- FeasibilityAuthor and validate durable data and ML feasibility studies using the Feasibility Study Interchange Profile, constrained YAML authority, UUID URN identity, lifecycle lineage, and evidence traceability. Use when assessing whether available data and technical evidence support a proposed outcome.microsoft/hve-core1,509
- Functional PlannerRead-only PRD-to-work-item hierarchy planning. Use to turn a PRD into a validated Azure DevOps, GitHub, or Jira handoff.microsoft/hve-core1,509
- Gh Code ScanningRetrieves and groups GitHub code scanning alerts by rule and severity using the gh CLImicrosoft/hve-core1,509
- Git CommitStage user-selected paths, confirm the exact staged set, and create one local Conventional Commit, or generate a commit message for staged changes without committing. Use when you want a guarded commit or a ready-to-paste message.microsoft/hve-core1,509
- Git MergeCoordinate Git merge, rebase, and rebase --onto workflows with conflict resolution, optional review pauses, and a completion summary. Use when integrating a branch locally and resolving conflicts without pushing.microsoft/hve-core1,509
- GitlabManage GitLab merge requests and pipelines with a Python CLImicrosoft/hve-core1,509
- Hve Artifact AuthoringCreate and validate HVE Core agents, prompts, instructions, and skills with current frontmatter, package membership, delegation, tracking, documentation, and validation conventions. Use when authoring a GitHub Copilot customization artifact in this repository.microsoft/hve-core1,509
- Hve BuilderCreate, improve, refactor, replace, review, or validate prompts, instructions, agents, subagents, and skills. Use for Copilot customization cleanup, extending HVE workflows with project-specific capabilities, and parent-owned correction of material review findings.microsoft/hve-core1,509
- Hve Core InstallerDecision-driven HVE-Core installer with multiple clone-based and extension install methods, environment detection, and selective component installationmicrosoft/hve-core1,509
- Hve Demo MaterialCreate levelled demo decks and narrated MP4s for any repository topic, with HVE Core as the default in the hve-core repository. Use when training or demo material is needed for L100 through L400 audiences.microsoft/hve-core1,509
- Hve SlidesCreate, update or review presentation-first HTML slide decks about HVE Core under slides/. Use for slide content research, deck styling, VS Code-style walkthroughs, presenter controls, or single-file HTML sharing in this repository.microsoft/hve-core1,509
- Incident ResponseRun a structured Azure incident response workflow for triage, diagnosis, mitigation, and root cause analysis. Use when operations or security teams need guided incident handling for Azure service symptoms.microsoft/hve-core1,509
- JiraJira issue workflows for search, issue updates, transitions, comments, field discovery, and interactive credential setup via the Jira REST API. Use when you need to configure Jira access, search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation.microsoft/hve-core1,509
- McsbMicrosoft Cloud Security Benchmark (MCSB v2) control-domain taxonomy and NIST 800-53 / CIS Controls crosswalk for planning and reviewing Azure cloud resources.microsoft/hve-core1,509
- Ml ExperimentationMachine learning experimentation reference for model-experimentation conventions, experiment tracking and reproducibility, dataset and model abstractions, ML engagement fundamentals, and model-production readiness. Use when standing up ML experimentation infrastructure or assessing whether a trained model is ready for production.microsoft/hve-core1,509
- MuralMural workspace, room, mural, and widget workflows via the Mural REST API exposed through a Python CLI. Use when you need to read or write Mural content or automate widget creation.microsoft/hve-core1,509
- Outcome HypothesisCreate or assess an evidence-grounded, falsifiable outcome hypothesis: a testable prediction of what measurable business result will change, for whom, by when, and how leading and lagging indicators will prove or disprove it. Use when framing measurable outcomes, turning an MVP, POC, feature, or technical initiative into a beneficiary result, defining targets and indicators, or judging whether evidence is strong enough to invest. Also applies to business outcome hypotheses, value hypotheses, andmicrosoft/hve-core1,509
- Owasp AgenticOWASP Agentic Security Top 10 knowledge base for identifying, assessing, and remediating AI agent system security risks.microsoft/hve-core1,509
- Owasp CicdOWASP CI/CD Top 10 knowledge base for identifying, assessing, and remediating CI/CD pipeline security risks.microsoft/hve-core1,509
- Owasp DockerOWASP Docker Top 6 knowledge base for identifying, assessing, and remediating Docker container security risks.microsoft/hve-core1,509
- Owasp InfrastructureOWASP Infrastructure Top 10 knowledge base for identifying, assessing, and remediating internal IT infrastructure security risks.microsoft/hve-core1,509
- Owasp LlmOWASP Top 10 for LLM Applications (2025) knowledge base for identifying, assessing, and remediating large language model security risks.microsoft/hve-core1,509
- Owasp McpOWASP MCP Top 10 knowledge base for identifying, assessing, and remediating Model Context Protocol security risks.microsoft/hve-core1,509
- Owasp Top 10OWASP Top 10 for Web Applications (2025) knowledge base for identifying, assessing, and remediating web application security risks.microsoft/hve-core1,509
- Performance Slo PlannerPerformance, load, and reliability (SLO/SRE) planning for production readiness. Use when defining service level objectives, load characterization, capacity, latency budgets, stress/soak/spike test plans, false-positive baselines, and reliability targets. USE FOR: SLO/SLA definition, load testing plan, performance budget, capacity planning, reliability/SRE backlog, latency targets, error-budget policy. DO NOT USE FOR: executing load tests (use Azure Load Testing tooling), security threat modelingmicrosoft/hve-core1,509
- PowerpointPowerPoint slide deck generation and management using python-pptx with YAML-driven content and stylingmicrosoft/hve-core1,509
- Pr ReferenceGenerates PR reference XML with commit history and unified diffs between branches, with extension and path filtering. Use when creating pull request descriptions, preparing code reviews, analyzing branch changes, discovering work items from diffs, or generating structured diff summaries.microsoft/hve-core1,509
- Privacy StandardsPrivacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholdsmicrosoft/hve-core1,509
- Proposal ResponseBuild traceable internal-review proposal, RFI, RFP, tender, bid, and questionnaire responses from supplied questions and approved sources. Use to analyze questions, contribute business or product evidence, or draft qualified responses.microsoft/hve-core1,509
- Pull RequestDrafts or opens a GitHub pull request, runs changed-area preflight checks, and commits validated preflight repairs, and routes Azure DevOps repositories to the backlog-management pull request protocol. Use when a user asks to prepare, create, or update a pull request on GitHub or Azure DevOps.microsoft/hve-core1,509
- Python FoundationalFoundational Python best practices, idioms, and code quality fundamentalsmicrosoft/hve-core1,509
- Rai PlannerOn-demand RAI planner reference pack covering Phase 1 capture, Phase 2 risk classification and the optional Mural board bootstrap, Phase 5 impact assessment, and Phase 6 review and backlog handoff.microsoft/hve-core1,509
- Rai StandardsConsolidated Responsible AI standards reference: NIST AI RMF 1.0, AI STRIDE threat-modeling overlay, EU AI Act risk tiers, and an open-standards catalog with phase mappingmicrosoft/hve-core1,509
- Requirements AuthorRequirements authoring guide for BRD and PRD across Discover, Define, and Govern with canonical templates and handoff contractsmicrosoft/hve-core1,509
- Risk RegisterCreate a qualitative risk register and mitigation plan using a Probability x Impact matrix. Use when a project needs structured risk identification, scoring, ownership, and response planning.microsoft/hve-core1,509
- Rpi ChallengerChallenge a confirmed task, decision, plan, or artifact through adaptive skeptical questions. Use when you need to expose assumptions before acting.microsoft/hve-core1,509
- Rpi ImplementFollow an approved RPI plan, keep it current as new information comes to light, check off completed work, and keep a condensed changes log. Use when implementation is ready to begin or resume.microsoft/hve-core1,509
- Rpi PlanCreate or resume an evidence-based RPI implementation plan with an optional independent critique. Use when a task needs an implementation plan or an existing plan needs revision.microsoft/hve-core1,509
- Rpi Plan CritiqueIndependently assess an RPI plan without editing it. Use when an implementation-ready plan needs a credibility check or a revised plan needs its earlier findings reconciled.microsoft/hve-core1,509
- Rpi ResearchResearch-only RPI playbook that gathers task evidence, writes dated research artifacts under .copilot-tracking/research/ or a caller's trusted evidence root, and hands off planning-ready findings. Use when the user needs evidence, alternatives, or task framing first.microsoft/hve-core1,509
- Rpi ReviewCompare RPI planning and implementation evidence, record review findings, and route follow-up work. Use when an implementation needs acceptance review.microsoft/hve-core1,509
- Rpi WalkthroughGuided, conversational walkthrough that explains code, UI, UX, features, or .copilot-tracking artifacts with navigable evidence links, a deep review before explaining, and a reconciled decisions-and-changes ledger. Use when the user wants to understand how something works or why it was changed.microsoft/hve-core1,509
- Secure By DesignSecure by Design principles knowledge base for assessing security-first design, development, and deployment across the software lifecycle.microsoft/hve-core1,509
- Security PlanningSecurity planning and plan-drift analysis for STRIDE, standards, controls, backlog handoff, current findings, and TM7 generation.microsoft/hve-core1,509
- Security Reviewer FormatsFormat specifications and data contracts for the security reviewer orchestrator and its subagents.microsoft/hve-core1,509
- Supply Chain SecuritySoftware supply chain security reference for OpenSSF Scorecard, SLSA, Sigstore, SBOM, and posture/backlog taxonomies.microsoft/hve-core1,509
- Synth Data GenerateGenerate synthetic datasets in a Jupyter notebook after the dataops synthetic-data preflight passes. Use when creating new synthetic data or preparing a guarded local replacement candidate from an approved source.microsoft/hve-core1,509
- Telemetry FoundationsDeclarative OpenTelemetry-aligned telemetry vocabulary and instrumentation conventions for traces, metrics, logs, and PII handlingmicrosoft/hve-core1,509
- Tts VoiceoverText-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control, or an offline Piper engine that needs no credentialsmicrosoft/hve-core1,509
- Ux ArtifactsProduce evidence-labelled UX needs, journey, structure, inclusion, and engineering-handoff assets. Use when a practitioner needs a durable UX artifact rather than coaching.microsoft/hve-core1,509
- Ux CoachingCoach a UX practitioner through problem framing, running a design critique, or making an evidence-backed case to a skeptical stakeholder. Use when the practitioner has a live UX task and wants to think it through rather than receive an answer.microsoft/hve-core1,509