ai-context-docs-lifecycle

Feature lifecycle — spec, research, design, tasks, build, verify, closeout with task tracking and validation checkpoints. Use /feature <phase> to jump to a specific phase. Also handles project state inspection and "what should I do next?" guidance.

Bootstrap and configure AI Context Docs Lifecycle. Covers AGENTS.md authoring, skill setup, and ongoing maintenance/diagnostics. Use when setting up ACDL, creating/updating AGENTS.md, or diagnosing AI quality problems.

Create and maintain reference docs, ADRs, and guides. Use when writing or updating docs/, creating architecture decision records, or auditing doc quality. Fully independent from the feature workflow.

Discover and document codebase patterns and conventions. Use when onboarding to a new codebase, patterns are undocumented, or AI keeps generating code that doesn't match project style.

Project-level planning — roadmap, backlog, task tracking, and PRD. Use /project <phase> for specific actions. Use when managing multiple features, prioritizing work, tracking project progress, or documenting product vision.