Engineering Principles
Azure/gpt-rag-ui/.github/skills/engineering-principles
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GPT-RAG UI architecture and implementation principles. Use for design, review, meaningful refactoring, Python, Chainlit, Azure integration, security, accessibility, testing, or operational changes.
Files7 files
SKILL.md22 lines
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Skill details
Versionv1.0.0
AuthorAzure
Categoryai-ml
Skill IDAzure/gpt-rag-ui/.github/skills/engineering-principles
Files7 files
Related skills
Architecture DecisionConducts and records a verifiable GPT-RAG UI architectural decision. Use when a choice alters boundaries, contracts, identity, sessions, persistence, accessibility, deployment, or operation with meaningful reversal cost.Component ReleasePrepares a verifiable GPT-RAG UI release. Use for release branches, VERSION, changelog entries, tags, release notes, and compatibility evidence; never publish without explicit human approval.Documentation ConsistencyKeeps GPT-RAG UI developer, user, and operator documentation aligned with shipped behavior. Use for features, configuration keys, security policy, deployment parameters, defaults, UI behavior, or breaking changes.ReleasePrepare and reconcile gpt-rag-ui releases. Use for release preparation, release branches, semantic versioning, VERSION or changelog updates, release notes, tags, GitHub Releases, packages, container images, or deployment publication; require explicit human approval before publishing anything.Asim Parser User PrompterPrompts the user for inputs to create a new ASIM schema parser. Use this skill when you need to gather information from the user to create a new ASIM parser.Agentic WorkflowsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.