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Create comprehensive session handoff for next AI agent.
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Create comprehensive session handoff for next AI agent.
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Resume from previous session handoff with full context restoration.
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Multi-perspective code review with 15 specialized reviewer personas.
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Add a new skill to the skills library when you solve a hard problem.
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View skills usage analytics and effectiveness metrics.
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List and validate assumptions for a phase before planning or execution.
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Full autopilot — plan, execute, verify all phases autonomously after PRD is complete.
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Dedicated ideation and exploration before implementation.
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Archive completed milestone and prepare for next version with WARRIOR validation.
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Track context usage, estimate session costs, and trigger strategic compaction.
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Display visual project dashboard with status and progress.
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Systematic debugging with persistent state, skills library integration, and WARRIOR validation.
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AI-powered pattern discovery and skill suggestions.
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Deep validation before claiming work is complete.
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Execute a single plan with segment-based routing, per-task atomic commits, and test enforcement.
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Linear code walkthrough learning mode — transforms any repo into a step-by-step learning experience. Based on Simon Willison's Agentic Engineering Patterns.
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Resume a Power Loop from Sabbath Rest or stopped state.
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Cancel the active Power Loop and save progress.
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Start self-iterating loop until completion with circuit breaker, error classification, context engineering, and skills integration.
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Analyze codebase with parallel mapper agents to produce structured documentation.
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Interactive database migration assistant — assess, plan, execute, and verify migrations between PostgreSQL, MySQL, SQLite, and SQL Server.
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Start a new milestone cycle with questioning, research, requirements, and roadmap.
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After any failure (debug resolution, test failure, approach rotation, stalled loop), capture what was tried, why it failed, and what actually worked as a persistent reflection. Future sessions search these before investigating.
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Systematic daily workflow for finding, evaluating, and implementing AI research improvements into dominion-flow. Eliminates the need to explain the process each session — any fresh agent follows this pipeline autonomously.