11 Commands for AI Workflow Rituals

Load context, check tasks, begin. Reads memory files, loads knowledge base, checks the task board, and sets up the daily session log.

Re-read memory files, check progress. Processes scratchpad notes, updates working memory, and reconciles task status with actual file changes.

Save learnings, update memory, log. Archives the session, clears the scratchpad, updates project status, and writes the daily Obsidian note.

Rate work 1-10 on correctness, completeness, security. Spawns a review agent that audits recent changes against coding standards and flags regressions.

Break down features, identify risks, design systems. Decomposes work into 15-minute units, assigns agents and skills, and defines success criteria.

Plan, Execute, Verify, Improve, Deliver. Runs the complete 5-phase protocol with parallel agent squads, self-review loops, and quality gates.

Fresh approach, root cause analysis. Detects doom loops, suggests fundamentally different approaches, and escalates after 3 failed attempts.

Save state before clearing, resume fresh. Persists all working memory to disk, commits brain sync, then clears context for a clean session.

Review what worked, what failed, extract lessons. Analyzes completed tasks, promotes patterns to the knowledge base, and updates agent training.

Check changes against coding standards. Spawns a reviewer agent that diffs the branch, validates types, checks security, and rates quality 1-10.

Git activity, progress, blockers. Reads recent commits, compares against the task board, and generates a concise status report.