What problem does it solve? Starting a new agent session in an AI-OS project without context wastes tokens and risks acting on stale task state. This Skill standardizes session bootstrap so every agent reads the right project files in the right order and verifies that markdown task lists match the SQLite state database. ## Core Features & Use Cases - DIGEST-first read order: Loads .ai/DIGEST.md as the primary project snapshot, then .ai/TASKS.md for assignments, skipping heavy files like architect.md to save tokens. - State synchronization check: Calls the task-synchronizer MCP to verify TASKS.md agrees with state.sqlite before trusting any task status. - Health probes: Runs the incident aggregator and INSIGHTS.md staleness check to surface recurring failures and outdated meta-cognition reports. - Layered fallback: Provides a Bash/python3 Layer 2 fallback when the orchestrator MCP is unavailable, escalating to ENGINEER.md emergency recovery at Layer 3. - Use Case: An engineer opens a terminal in an AI-OS project and invokes the skill; the agent immediately knows the current focus, open E-## tasks, unread implementation deltas, and any incident thresholds reached. ## Quick Start Activate the ai-preflight skill at the start of every session in an AI-OS project to load project context and stamp SESSION.md.