Converts an approved structured parity handoff into a read-only, human-reviewable proposal plan for the allow-listed Terraform repository.
Idioma del texto original: inglés
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SkillsMP ha recopilado 17 skills de Azure/bicep-ptn-aiml-landing-zone. Abre una skill para revisar su origen y sus detalles.
Mostrando 17 de 17 skills recopiladas.
Converts an approved structured parity handoff into a read-only, human-reviewable proposal plan for the allow-listed Terraform repository.
Idioma del texto original: inglés
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
Idioma del texto original: inglés
Generate a custom checklist for the current feature based on user requirements.
Idioma del texto original: inglés
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 del texto original: inglés
Create or update the project constitution from interactive or provided principle inputs.
Idioma del texto original: inglés
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 del texto original: inglés
Execute the implementation plan by processing and executing all tasks defined in tasks.md
Idioma del texto original: inglés
Execute the implementation planning workflow using the plan template to generate design artifacts.
Idioma del texto original: inglés
Create or update the feature specification from a natural language feature description.
Idioma del texto original: inglés
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Idioma del texto original: inglés
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
Idioma del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
AI Landing Zone architecture and implementation principles. Use before Azure or Bicep design, review, meaningful refactoring, security, validation, release, or operational work.
Idioma del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés