Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
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DataOps and DS/MLOps testing reference for data tiering, Bronze-to-Silver validation placement, pipeline invariants, pytest categories, and validation-versus-drift. Use when designing, reviewing, or generating data pipelines, transformation code, data validation, or data-science test suites.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Ground pipeline and test generation in the Microsoft CSE engineering playbook so that data tier semantics, validation placement, recovery invariants, and DS/MLOps test technique are applied consistently and attributed accurately.
Read only the reference that matches the active concern.
| Reference | Read this when |
|---|---|
| data-tiers-and-pipeline-invariants.md | Assigning tier meaning, placing validation, routing malformed records, or asserting replay, idempotency, testability, source-control, and configuration invariants |
| testing-data-science-and-mlops.md | Writing or reviewing tests for data loading, transformation, model load or predict, data validation, or model robustness |
| validation-drift-and-observability.md | Distinguishing data validation from drift detection, choosing remediation, or deciding which data and model signals matter |
| synthetic-data-operation-contract.md | Validating synthetic-data preflight authority, field lineage, conditional subgroup evidence, result linkage, or guarded local replacement |
| provenance.md | Confirming what is upstream guidance, what is HVE Core derivation, and where upstream is silent |
SYNTHETIC_DATA_OPERATION_V1 preflight passes deterministic validation.This skill decides which data and model signals matter. It does not own the vocabulary, the classification, or the surrounding workflow.
| Concern | Owner |
|---|---|
| Metric names, instrument types, units, cardinality discipline, and the PII emission denylist | telemetry-foundations |
| Data sensitivity classification and DPIA thresholds | privacy-standards |
| Entity semantics, relationships, and which tier a dataset is recorded as | The calling workflow |
| Feasibility assessment and go/no-go recommendation | The calling workflow |
No repository artifact currently owns the last two rows. When the caller supplies neither, state the gap rather than deciding tier assignment or feasibility here.
This skill never decides what is sensitive. It reads a classification produced elsewhere.
For synthetic-data operations, read synthetic-data-operation-contract.md and validate records against synthetic-data-operation-v1.schema.json. The contract records qualified decisions by immutable reference; it does not store source values or replace the authority of data, privacy, Responsible AI, fairness, or domain owners.
telemetry-foundations, the OpenTelemetry-aligned vocabulary and
instrumentation skill. Route data sensitivity to privacy-standards, the
privacy classification and DPIA-threshold reference.This pack declares CC-BY-4.0 because both bodies of content it holds carry that license.
Source pages are Microsoft CSE Code With Engineering Playbook documentation licensed CC BY 4.0. The upstream project applies MIT through a separate LICENSE-CODE file to code samples only, which this pack does not reproduce. The references derive from those documentation pages and have been changed: upstream guidance is paraphrased, and only identifiers and structural names are carried across as facts. THIRD-PARTY-NOTICES carries the attribution CC BY 4.0 requires and states that the content has been changed. Each reference cites its own upstream URL and states what it reproduces.
Content labelled as HVE Core derivation is repository-original material under CC BY 4.0. See provenance.md for the consolidated source map and derivation labels.
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Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
中文简介正在准备中。当前显示原文说明。
Build, refresh, report, or probe an accessibility coverage matrix across criteria, surfaces, and evidence methods. Use when assessing coverage with the accessibility runtime harness and generated evidence bundle.
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Authoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.
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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.
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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.
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Create a durable Architecture Review Record from a confirmed System Architecture Reviewer scope, evidence, pillar analysis, trade-offs, and dispositions
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