What problem does it solve? AI agents working across sessions lose track of execution state: which tasks are doing or done, what sprint plans exist, and whether reviews were actually approved. This Skill gives agents a canonical, server-hosted project management workflow so status, issues, and review records stay truthful and consistent. ## Core Features & Use Cases - Board and Sprint Management: Create kanban tasks, bounded sprints with phases and microtasks, and track completion with evidence notes and status audits. - Issues, Feedback, and Reviews: Record defects and observations, create canonical review requests with append-only results, and open child re-review records instead of overwriting outcomes. - Cross-Session Handoff: Write and resume Projectman-bound handoffs so a new agent session can pick up exactly where the last one stopped. - Use Case: An agent starts a multi-step feature, creates a sprint with a NE/NICIN/DONE-WHEN goal, updates microtasks as evidence lands, requests a review, logs findings as issues, and hands off remaining work to the next session. ## Quick Start Ask your agent to use the aops-cli-projectman skill to run a bounded resume for your project slug and list the current doing sprints and open issues.
