What problem does it solve?
Manually tracking AI-Driven Development Life Cycle (AI-DLC) phases, stage approvals, and remaining work leads to stale project state, missed approval gates, and wasted time determining next steps.
Core Features & Use Cases
- Status Reporting: Reads existing AI-DLC tracking documents to summarize current phase, stage, blockers, completion progress, and last update date.
- Next-Step Identification: Cross-references phase completion tables with existing artifacts to flag the first unfinished stage as the next task, without advancing work without explicit user approval.
- Audit & State Management: Maintains an append-only audit log of approvals and decisions, updates tracking documents immediately when stages complete, and bootstraps new AI-DLC tracking setups for projects with no existing documentation.
- Use Case: Software teams using the AI-Driven Development Life Cycle methodology can use this skill to eliminate manual status checks, ensure approval gates are never skipped, and keep project tracking documents consistently up to date.
Quick Start
Ask the aidlc-tracker skill to check your project's current AI-DLC status and identify the next pending stage to work on.