Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Run a prompt repeatedly on an interval, using the harness built-in plus loop templates. Generated from plugin-commands.json; invoke as $bdb-aos:loop.
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See how to installReview the instructions the agent will receive before you install.
Codex has no /loop. Use /goal with the filled loop-templates template as the goal, keeping its limits and stop condition. Codex /goal is unverified in AOS docs; confirm with codex --help. Safety: a loop prompt never issues a GO, never types or runs gogate, never sets a mode or grant, and never merges, pushes or publishes unless a valid grant covers the action. Act on a guarded step only if the human's immediately preceding message is a literal GO or a valid grant covers it; a loop iteration never satisfies the first condition, so it must STOP and report instead of continuing a blocked guarded step. Templates (CI until green, follow a PR to merge, review rounds until no blockers, daily session summary) live in the loop-templates skill with run and duration limits and a stop condition each. Arguments: whatever the user wrote after the command name
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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