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Show current flywheel status, bead progress, and inbox messages.
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Baseado na classificação ocupacional SOC
Relentless goal/design interview that sharpens framing and writes durable docs (brainstorm artifact, ADRs, glossary) as decisions crystallize. Use when refining a flywheel goal, pressure-testing scope, or "grill with docs".
Start or resume the full agentic coding flywheel. Drives the complete workflow: scan → discover → plan → implement → review.
Set up flywheel prerequisites for this project.
One-shot diagnostic of every flywheel dependency — MCP connectivity, Agent Mail liveness, br/bv/ntm/cm binaries, node version, git status, dist-drift, orphaned worktrees, and checkpoint validity. Use when debugging toolchain issues, before starting a new session, after /flywheel-cleanup, or as a CI gate.
Strategic gap analysis between vision (AGENTS.md / README.md / plan docs) and what's actually implemented. Converts gaps into beads, optionally launches a swarm. Use when "reality check", "where are we really", "gap analysis", "did we drift", or before declaring a long-running project done.
Launch a parallel swarm of agents to implement multiple beads simultaneously.
| name | flywheel-status |
| description | Show current flywheel status, bead progress, and inbox messages. |
Show flywheel status for this project.
Checkpoint: Read .pi-flywheel/checkpoint.json. Display:
phaseStartedAt)Live beads: Run br list --json via Bash. Display a table:
ID | Title | Status | Priority | Review passes
Group by: in_progress → open → closed/deferred.
Inbox: Call fetch_inbox via the agent-mail MCP tool with agent_name: "Orchestrator". Display any messages from running agents. Acknowledge read messages by calling acknowledge_message for each.
Todos: Display current todo list from TodoRead.
Next recommended bead: Run bv --robot-next via Bash to get the next optimal bead to work on.