Azure/bicep-ptn-aiml-landing-zone

terraform-parity-proposal

Converts an approved structured parity handoff into a read-only, human-reviewable proposal plan for the allow-listed Terraform repository.

Langue du texte source : anglais

speckit-analyze

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

Langue du texte source : anglais

speckit-checklist

Generate a custom checklist for the current feature based on user requirements.

Langue du texte source : anglais

speckit-clarify

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Langue du texte source : anglais

speckit-constitution

Create or update the project constitution from interactive or provided principle inputs.

Langue du texte source : anglais

speckit-converge

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.

Langue du texte source : anglais

speckit-implement

Execute the implementation plan by processing and executing all tasks defined in tasks.md

Langue du texte source : anglais

speckit-plan

Execute the implementation planning workflow using the plan template to generate design artifacts.

Langue du texte source : anglais

speckit-specify

Create or update the feature specification from a natural language feature description.

Langue du texte source : anglais

speckit-tasks

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Langue du texte source : anglais

speckit-taskstoissues

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

Langue du texte source : anglais

architecture-decision

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.

Langue du texte source : anglais

deployment-operations

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.

Langue du texte source : anglais

documentation-consistency

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.

Langue du texte source : anglais

engineering-principles

AI Landing Zone architecture and implementation principles. Use before Azure or Bicep design, review, meaningful refactoring, security, validation, release, or operational work.

Langue du texte source : anglais

iac-validation

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.

Langue du texte source : anglais

release-management

Prepares and validates AI Landing Zone semantic releases. Use for changelog entries, manifest versions, release branches, tags, GitHub Releases, and post-release branch reconciliation.

Langue du texte source : anglais