Microsoft

Manage GitLab merge requests and pipelines with a Python CLI

The English summary is being prepared. Showing the original description.

Performance, 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 modeling, RAI assessment, privacy/compliance planning, or authoring/restating PRD requirements (cite the PRD's existing NFR/FR ids instead).

The English summary is being prepared. Showing the original description.

Authoring conventions for exploratory data analysis notebooks and analytical dashboards, covering section sequence, visualization selection, scale thresholds, caching and state, and dashboard validation budgets. Use when composing or reviewing an EDA notebook, an analytical dashboard, or a dashboard test pass.

The English summary is being prepared. Showing the original description.

Read-only backlog planning for Azure DevOps, GitHub, and Jira. Use to discover, triage, sprint-plan, or resume without mutating a tracker.

The English summary is being prepared. Showing the original description.

Author 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.

The English summary is being prepared. Showing the original description.

Creates source-grounded internal or external weekly engagement status reports with optional Outlook draft creation.

The English summary is being prepared. Showing the original description.

PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling

The English summary is being prepared. Showing the original description.

Assemble ordered frames or clips with narration and optional synchronized scene transitions into an MP4 via FFmpeg

The English summary is being prepared. Showing the original description.

Design 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.

The English summary is being prepared. Showing the original description.

Create 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.

The English summary is being prepared. Showing the original description.

Create and enrich durable data catalogs using the native DS_CATALOG_V1 Markdown contract, declared entity relationships, privacy citation fields, and stable relationship IDs. Use when inventorying engagement data, recording semantic relationships, or preparing a catalog for ERD rendering.

The English summary is being prepared. Showing the original description.

Machine 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.

The English summary is being prepared. Showing the original description.

Create, 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.

The English summary is being prepared. Showing the original description.

Design Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflow

The English summary is being prepared. Showing the original description.

Design 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)

The English summary is being prepared. Showing the original description.

Produce evidence-labelled UX needs, journey, structure, inclusion, and engineering-handoff assets. Use when a practitioner needs a durable UX artifact rather than coaching.

The English summary is being prepared. Showing the original description.

Coach 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.

The English summary is being prepared. Showing the original description.

State, resume, reconstruction, job-lifecycle, transition, and flow-state mechanics for the Data Science and Engineering Coach. Loaded by the coach; not a user entry point.

The English summary is being prepared. Showing the original description.

Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline

The English summary is being prepared. Showing the original description.

Create 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.

The English summary is being prepared. Showing the original description.

Create 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, and outcome statements.

The English summary is being prepared. Showing the original description.

Architecture diagram authoring for cloud infrastructure and declared data catalogs. Use when rendering Azure IaC or DS_CATALOG_V1 relationships as caller-selected ASCII or Mermaid diagrams.

The English summary is being prepared. Showing the original description.

Model and document existing or planned software architectures with the C4 model across System Context, Container, and Component levels plus deployment diagrams, then emit diagrams through a selected renderer. Use when an architect needs audience-appropriate software architecture documentation; use the 'architecture-diagrams' skill for infrastructure topology.

The English summary is being prepared. Showing the original description.

Canonical documentation capability for audit, drift, validate, and author modes in hve-core.

The English summary is being prepared. Showing the original description.