Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Turn one reference image into a cleaned, scaled 3D asset: your own image-to-3D ComfyUI workflow makes the mesh, Blender decimates it to a poly budget, fixes scale, origin and material, and exports a .glb. Use for "image to 3D", "make a 3D model from this picture", "photo to glb".
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
What you get: a cleaned, scaled .glb from one reference image, with a preview you approved.
Availability: needs the comfyui-mcp server configured in the harness (no config is shipped). Missing → stop at preflight with that message.
renders/<project>/check_comfyui_health on comfyui-mcp; get_scene_info on bdb_blender_mcp. MCP tools may be deferred in the harness: try to load the tool once via the harness MCP list before declaring it missing. Tool not loaded, call errors, or ComfyUI status is not "online" → stop with "Missing MCP: <server> (<tool> unavailable). Start <ComfyUI|Blender and click Connect to Claude in the BlenderMCP sidebar tab> and check mcpServers.<server> in your harness config." (comfyui-mcp: use the Availability message above) and write nothing except the run log — both probes answeredrenders/<project>/ — all answered, image and workflow files existqueue_prompt → get_history <prompt_id> status success → get_output_media_info path of the mesh file — a mesh file exists; 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 import nothingexecute_blender_code: import, Decimate modifier down to poly_budget, scale to the target size, origin to base centre, one material, and report face count and dimensions; get_scene_info as the cross-check — face count <= poly_budget and non-zero dimensions; save the Blender project first, since scripted code can crash the sessionrenders/<project>/preview.png via execute_blender_code — file exists — stops for approval (taste review); changes loop back to step 4execute_blender_code runs the glTF binary export → renders/<project>/asset.glb — file exists and is larger than 0 bytes; re-import the file or read the exported object stats and log face count and dimensions againRun log: production_artifacts/pb-image-to-3d-<date>.md in the start directory, never committed
Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR APPROVAL: <step> at each stop.renders/<project>/ and publishes nothing.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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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