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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/Azure/agent-landing-zone.جارٍ تحميل ملف README للمستودع…
عرض ٢٠ من أصل ٢٠ skills مجمعة.
Prepares and validates Agent Landing Zone umbrella and multi-repository releases. Use whenever work involves release preparation, semantic versions, release branches, manifest or component pins, changelog release entries, tags, GitHub Release notes, or AI…
لغة النص الأصلي: الإنجليزية
Agent Landing Zone architecture and implementation principles. Use for design, review, meaningful refactoring, Azure integration, security, testing, or operational changes.
لغة النص الأصلي: الإنجليزية
Keeps Agent Landing Zone user and operator documentation aligned with shipped behavior. Use for features, configuration keys, deployment parameters, defaults, component pins, operations, or breaking changes.
لغة النص الأصلي: الإنجليزية
Conducts and records a verifiable Agent Landing Zone architectural decision. Use when a choice alters repositories, boundaries, contracts, identity, data, deployment topology, or operation with meaningful reversal cost.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
AI Landing Zone architecture and implementation principles. Use before Azure or Bicep design, review, meaningful refactoring, security, validation, release, or operational work.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Prepares and validates AI Landing Zone semantic releases. Use for changelog entries, manifest versions, release branches, tags, GitHub Releases, and post-release branch reconciliation.
لغة النص الأصلي: الإنجليزية
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
لغة النص الأصلي: الإنجليزية
Generate a custom checklist for the current feature based on user requirements.
لغة النص الأصلي: الإنجليزية
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
لغة النص الأصلي: الإنجليزية
Create or update the project constitution from interactive or provided principle inputs.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Execute the implementation plan by processing and executing all tasks defined in tasks.md
لغة النص الأصلي: الإنجليزية
Execute the implementation planning workflow using the plan template to generate design artifacts.
لغة النص الأصلي: الإنجليزية
Create or update the feature specification from a natural language feature description.
لغة النص الأصلي: الإنجليزية
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
لغة النص الأصلي: الإنجليزية
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
لغة النص الأصلي: الإنجليزية
مصدر ملف README للمستودع: README.md
قراءة الملف الأصلي