n-adr-normalize

You can normalize Architecture Decision Record (ADR) drafts using LLM-driven batch processing to enforce structural consistency. The Skill operates within isolated git-worktrees to manage documentation updates safely without interfering with main development branches.

Batch processing ADR formatting safely is achieved by executing LLM-based normalization within isolated git-worktrees. This prevents interference with your main development branches while performing automated file rewrites and cleanup tasks across large volumes of drafts.

Automating ADR cleanup requires the @nitra/cursor toolchain and a configured environment. These dependencies are necessary for the Skill to execute automated file rewrites and perform LLM-driven structural normalization.

You can preview ADR normalization changes before committing by using the Skill's dry-run execution mode. Dry-runs allow you to review formatting adjustments and structural modifications before merging processed drafts into your main documentation.

You need to normalize ADR drafts with an LLM when you have a backlog of documentation that requires structural consistency. This approach ensures formatting remains clean across large volumes of drafts without requiring manual intervention for every batch.

Using git-worktrees for ADR documentation updates limits processing to isolated branch environments to prevent main branch interference. Consequently, the Skill requires a properly configured environment and the @nitra/cursor toolchain to execute automated file rewrites successfully.