Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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A relentless interview to sharpen a plan or design before committing to an approach. Use on any "grill me" or "grill this plan" trigger phrase, when the user asks to stress-test a decision, plan or design, and before handing a finished plan off to a startcycle run or a plan-canvas review.
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See how to installReview the instructions the agent will receive before you install.
Invoke the grilling skill and follow it.
That skill is the whole interview: design tree, frontier rounds, numbered questions with a recommended answer each. Nothing is restated here — a second copy would drift from the first.
Use grill-with-docs instead whenever there is a working directory. Same interview, but it also runs domain-modeling, so terminology and decisions land in CONTEXT.md and ADRs as they are settled rather than evaporating with the session. Reach for this one when there is no repo to write to, or when the outcome is a decision rather than a document.
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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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