Creates Architecture Decision Records with unique numbers and prefilled metadata templates.
npx skills add https://github.com/cody-hutson/pmo-platform --skill adr-helper
Please help me install this Agent Skill. Skill: adr-helper Source: https://github.com/cody-hutson/pmo-platform/tree/main/core/skills/adr-helper Command: npx skills add https://github.com/cody-hutson/pmo-platform --skill adr-helper
The adr-helper Skill addresses the friction involved in writing and managing Architecture Decision Records (ADRs) within a platform environment, providing an efficient and organized approach to documenting key architectural decisions.
Run the 'adr-helper' Skill when prompted to "scaffold this as an ADR".
High-intent search queries and answers about installing and using this skill.
Automating Architecture Decision Record creation involves allocating a unique global monotonic number for each record and pre-filling derived metadata into a template. This ensures standardization while leaving prose sections open for user input.
Managing ADR numbering across directories requires autonomous allocation of unique global monotonic numbers. This approach counts globally across all directories to assign identifiers without risking collisions or reusing previous numbers.
Scaffolding a new Architecture Decision Record while preserving immutability involves generating a new template with pre-filled metadata. The process strictly avoids editing, overwriting, or renumbering any existing records.
Architecture Decision Record scaffolding complies with standard schemas and templates, making it applicable within cross-cutting and release-pipeline-scoped contexts. It dynamically resolves the home directory for records from predefined configurations.
A standardized Architecture Decision Record template is needed when documenting key architectural decisions in a platform environment. It solves friction by providing an organized structure with pre-filled metadata and placeholders for prose.
Automated ADR generation leaves prose sections empty to separate structural metadata from human reasoning. It automates metadata pre-filling and unique number allocation, leaving the architectural context and decision prose for user input.
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