What problem does it solve? AI agents working on AOPS-backed projects lose context between sessions and lack a consistent discipline for tracking tasks, reviews, and decisions. This Skill provides a token-efficient startup playbook that keeps project management, memory checkpoints, and optional multi-agent coordination in one repeatable workflow. ## Core Features & Use Cases - Solo-first session playbook: Registers every task in PM before coding, uses the memory brief/checkpoint/summary loop, and validates work honestly with per-slice evidence. - Async review across sessions: Leaves PM review requests open so a future session can discover, review, and record findings as issues without a live reviewer. - Optional chat-room and multi-agent modes: Adds a hosted ChatV3 room for task intake and wake signals, standalone discuss rituals for design decisions, and a verify-first consensus-to-build recipe. - Use Case: An agent resumes a project by running the startup block, finds an open review request from a prior session, reviews the slice, records findings as PM issues, and checkpoints progress to memory. ## Quick Start Ask your agent to use aops-collaborative-work for your project slug to start a solo AOPS session with PM and memory discipline.
