Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Turn a look brief and reference images into a finished social clip: concept, TouchDesigner look and palette, ComfyUI stills, a recorded take, a cut in DaVinci Resolve or Remotion, 9:16 and 16:9 exports, publish only after GO. Use for "moodboard to clip", "make a social clip from these references", "look brief to video".
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
What you get: a 9:16 and a 16:9 clip built from your look brief and references, checked with ffprobe, handed off for publishing after your GO. Availability: needs the comfyui-mcp server configured in the harness (no config is shipped). Missing → stop at preflight with that message.
renders/<project>/, asked in step 2davinci or remotion (remotion needs an existing Remotion project)get_td_info on bdb_td_minddesigner; check_comfyui_health on comfyui-mcp; get_resolve_status on bdb_davinci_mcp (only if cut_tool = davinci); command -v ffprobe. 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 the payload fails its pass condition (TD get_td_info: connected: true; ComfyUI check_comfyui_health: status is "online"; Resolve get_resolve_status: no error key) → stop with "Missing MCP: <server> (<tool> unavailable). Start <TouchDesigner|ComfyUI|DaVinci Resolve> and check mcpServers.<server> in your harness config." (comfyui-mcp: use the Availability message above) and write nothing except the run log; davinci missing while cut_tool = remotion → continue, logged — all probes answeredrenders/<project>/ — all answered, workflow path existsrenders/<project>/concept.md (look, palette intent, shot list, length) — stops for approvalmoodboard_to_system / extract_palette → network and palette; get_td_node_errors empty, get_preview shown (stops for approval), then export_look_tox → renders/<project>/look.tox — errors emptyqueue_prompt → get_history <prompt_id> status success → get_output_media_info paths copied to renders/<project>/stills/ and loaded into the TD network (e.g. as a moviefilein TOP feeding the look) before step 6, then get_td_node_errors empty again — at least 1 still; 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 nothingrecord_movie → renders/<project>/raw.mov — ffprobe duration > 0ffprobe shows the asked width, height and duration per file:
create_project → import_media → create_timeline → append_to_timeline → set_render_settings per format → add_render_job → start_rendering → get_render_job_status completeraw.mov into its public/, then npx remotion render <Composition> <out> per format (network/npm on first run needs approval; the skill's Stitch steps do not apply)ffprobe is the gate, since nothing proves set_render_settings sets 1080x1920: on a width/height mismatch stop with "export <format> has WxH, expected ...", log it, do not publish, invent no conversion command, and tell the human what to change in Resolverenders/<project>/publish.md; upload is manual unless the human named a tool in step 2 — hand-off file writtenRun log: production_artifacts/pb-clip-from-moodboard-<date>.md in the start directory, never committed
Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.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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