aidlc-doc-writer

To generate source-aligned documentation, this skill reads actual implementation files like Terraform, Python, or JavaScript before writing construction docs, ensuring your documentation reflects what is actually built rather than what was originally planned.

Retroactive documentation for already implemented work is handled by reading the deployed source and infrastructure code, then generating the correct phase-specific docs such as infrastructure design and build instructions based on those actual files.

Maintaining consistent documentation structure is achieved by following official AI-DLC phase-to-folder mapping and per-document structure conventions across inception, construction, operations, and verification phases for your software development projects.

Yes, you can bootstrap new AI-DLC projects by generating standardized initial documentation artifacts, setting up the centralized doc index, and establishing append-only audit logging formats across all required development phases.

Audit logging for documentation updates operates on an append-only model that matches your existing project formats, tracking all changes made to documentation artifacts during generation and update processes across the software lifecycle.

Yes, this approach works with Terraform, Python, JavaScript, and other implementation files by reading the actual deployed source and infrastructure code before generating any matching construction, operations, or verification documentation.