Engineering Principles

Azure/gpt-rag-ingestion/.github/skills/engineering-principles

Multi-file

Azure· v1.0.0

codingOfficial

Official Provider SkillView repo

Ingestion architecture and implementation principles. Use for design, review, meaningful refactoring, Azure integration, document security, testing, or operational changes.

Files5 files

SKILL.md20 lines

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Skill details

Versionv1.0.0

AuthorAzure

Categorycoding

Skill IDAzure/gpt-rag-ingestion/.github/skills/engineering-principles

Files5 files

Related skills

Architecture DecisionConducts and records a verifiable ingestion architectural decision. Use when a choice alters pipeline boundaries, chunk/index contracts, identity, data, source integration, deployment, or operation with meaningful reversal cost.Documentation ConsistencyKeeps ingestion repository and published GPT-RAG documentation aligned with shipped formats, configuration, indexing, deployment, audit, and operator behavior.Ingestion ValidationSelects and runs evidence-based validation for Python ingestion, chunking, jobs, Azure AI Search contracts, deployment assets, and the operator frontend. Use whenever repository behavior or engineering assets change.ReleasePrepare and reconcile repository releases, including version selection, SemVer checks, release branches, changelog updates, release notes, tags, GitHub releases, and publication approval gates. Use when asked to prepare, version, tag, publish, roll back, or repair a release.Service ReleasePrepares and validates gpt-rag-ingestion releases. Use for release branches, VERSION, changelog entries, compatible GPT-RAG pins, tags, images, and GitHub Release notes.Asim Parser Filter ValidatorValidates ASIM parser filtering parameters by running filter tests against a Log Analytics workspace. Pure PowerShell using az CLI for authentication — no Python or Azure SDK packages required. Use this skill after creating or modifying an ASIM parser to verify that its filtering parameters work correctly.