القائمة
Stop all running swarm agents and release their file reservations.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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-swarm-stop |
| description | Stop all running swarm agents and release their file reservations. |
Stop the swarm and clean up.
Fetch all active agents via fetch_inbox on the agent-mail MCP tool to identify who is running.
Call release_file_reservations via agent-mail MCP tool with project_key set to the current working directory to release all reservations.
Send a stop signal to each active agent individually via send_message in agent-mail (do NOT broadcast to "*" — structured messages cannot be broadcast):
send_message(to: "<name>", subject: "STOP — Swarm shutdown requested", body_md: "Please finish your current step, commit any partial work, and exit.", importance: "urgent")SendMessage(to: "<name>", message: {"type": "shutdown_request", "reason": "Swarm stopped by user."})TaskStop(task_id: "<id>") for agents that don't respond (use saved task IDs from when they were spawned).For beads still marked in_progress in br list --json, reset them to open:
Run br update <id> --status open via Bash for each.
Use TaskList to find active swarm tasks, then TaskUpdate each to status: "deleted".
Report: "Swarm stopped. N agents signaled to stop, N beads reset to open."