Converts an approved structured parity handoff into a read-only, human-reviewable proposal plan for the allow-listed Terraform repository.
Idioma do texto original: inglês
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O SkillsMP coletou 17 skills de Azure/bicep-ptn-aiml-landing-zone. Abra uma skill para revisar a origem e os detalhes.
Mostrando 17 de 17 skills coletadas.
Converts an approved structured parity handoff into a read-only, human-reviewable proposal plan for the allow-listed Terraform repository.
Idioma do texto original: inglês
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
Idioma do texto original: inglês
Generate a custom checklist for the current feature based on user requirements.
Idioma do texto original: inglês
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Idioma do texto original: inglês
Create or update the project constitution from interactive or provided principle inputs.
Idioma do texto original: inglês
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
Idioma do texto original: inglês
Execute the implementation plan by processing and executing all tasks defined in tasks.md
Idioma do texto original: inglês
Execute the implementation planning workflow using the plan template to generate design artifacts.
Idioma do texto original: inglês
Create or update the feature specification from a natural language feature description.
Idioma do texto original: inglês
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Idioma do texto original: inglês
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
Idioma do texto original: inglês
Conducts and records a verifiable AI Landing Zone architecture decision. Use when a choice alters module boundaries, contracts, identity, networking, deployment topology, or operation with meaningful reversal cost.
Idioma do texto original: inglês
Safely investigates and operates AI Landing Zone preflight, What-If, azd, Azure DevOps, and jumpbox bootstrap paths. Use for approved deployment operations or incident diagnosis.
Idioma do texto original: inglês
Keeps AI Landing Zone contributor, user, and operator documentation aligned with shipped Bicep behavior. Use for parameters, defaults, outputs, topology, deployment flow, operations, or releases.
Idioma do texto original: inglês
AI Landing Zone architecture and implementation principles. Use before Azure or Bicep design, review, meaningful refactoring, security, validation, release, or operational work.
Idioma do texto original: inglês
Builds an evidence-based validation plan for AI Landing Zone Copilot assets, Bicep, parameters, scripts, and Azure deployment behavior. Use after implementation or during regression investigation.
Idioma do texto original: inglês
Prepares and validates AI Landing Zone semantic releases. Use for changelog entries, manifest versions, release branches, tags, GitHub Releases, and post-release branch reconciliation.
Idioma do texto original: inglês