Official Provider SkillView repo
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.
Files1 files
SKILL.md278 lines
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Skill details
Versionv1.0.0
AuthorAzure
Categorycoding
Skill IDAzure/agent-landing-zone/.github/skills/speckit-converge
Related skills
Architecture DecisionConducts and records a verifiable GPT-RAG architectural decision. Use when a choice alters repositories, boundaries, contracts, identity, data, deployment topology, or operation with meaningful reversal cost.Documentation ConsistencyKeeps GPT-RAG user and operator documentation aligned with shipped behavior. Use for features, configuration keys, deployment parameters, defaults, component pins, operations, or breaking changes.Engineering PrinciplesGPT-RAG architecture and implementation principles. Use for design, review, meaningful refactoring, Azure integration, security, testing, or operational changes.Multi Repo ReleasePrepares and validates GPT-RAG 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 Landing Zone release alignment.Speckit AnalyzePerform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.Speckit ChecklistGenerate a custom checklist for the current feature based on user requirements.