Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Turn an idea into a deployed prototype: a spec from brainstorming, a visual plan of the ComfyUI workflow, a prototype built with startcycle, one hero image, green CI, then push and deploy after separate GOs. Use for "idea to launch", "from idea to a live prototype", "build and deploy this idea".
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Review the instructions the agent will receive before you install.
What you get: an idea turned into a deployed prototype with green CI and one hero image, pushed and deployed only after your GO. Availability: needs the comfyui-mcp server configured in the harness (no config is shipped). Missing → steps 2 to 4 still run, step 5 stops with that message.
check_comfyui_health on comfyui-mcp (MCP tools may be deferred in the harness: try to load the tool once via the harness MCP list before declaring it missing) → run log header — tool not loaded, call errors, or status is not "online" → log "Availability: needs the comfyui-mcp server configured in the harness (no config is shipped). Start ComfyUI and check mcpServers.comfyui-mcp." and mark step 5 to stop; steps 2 to 4 still runproduction_artifacts/pb-idea-to-launch-<date>/spec.md — spec written, open questions listedplan.md in the same folder — stops for approvalblocking finding
git init first; the reviewed prototype files are staged by explicit path (never git add -A) and committed — SHA in the run log; the working tree has no uncommitted product files afterwardsqueue_prompt → get_history <prompt_id> status success → get_output_media_info path copied to hero.png in the run folder — one image; local_path is only set when COMFYUI_DIR is set, so if local_path is empty or exists_locally is false, stop with a clear message and copy nothing; preflight failed in step 1 → stop with the Availability message and write nothing except the run loggh repo create <owner>/<name> --private --source . --remote origin runs in the same GO, never public, never any other visibility; the line names owner and name. The run stops here until the human types GO. Where the go-gate hook runs (Claude Code, OpenCode, agy) it covers git push; it does not cover gh repo create, and elsewhere this GO is the only guard.<id> from gh run list --commit <sha> --limit 1 --json databaseId (wait until it exists), then gh run watch <id> --exit-status — gh run list --commit <sha> --json conclusion -q '.[0].conclusion' equals success; otherwise back to pb-ci-fix's debugging steps, at most 2 cycles, each push behind a fresh GO as in step 7, then stop and escalategit worktree add <scratch> <sha>, removed with git worktree remove <scratch> (no --force) when the deploy ends or the run stops) and rsync to deploy_target, the target, the file list and the command shown in full. The run stops here until the human types GO. The hook does not cover the rsync deploy, so this GO is its only guard.curl -sI <url> → status line in the run log — returns 200Run log: production_artifacts/pb-idea-to-launch-<date>.md in the start directory, never committed
Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.No reviews yet. Tell others what you thought.
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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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