메뉴
Dispatch one-image-per-worker jobs for the presentation image pipeline. Use when you need to register image jobs, fan out isolated Codex subagents, and keep MCP state as the source of truth.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | image-job-dispatcher |
| description | Dispatch one-image-per-worker jobs for the presentation image pipeline. Use when you need to register image jobs, fan out isolated Codex subagents, and keep MCP state as the source of truth. |
Use this skill when a batch of presentation images must be processed through isolated workers. This skill owns dispatch only. It does not decide final approvals or commit rename and metadata changes.
job_idimage_id per fileregistry/session_paths.jsonagent-task-managerconportfilesystem for path inspectioncv-mcp only when the dispatcher also performs a smoke checkjob_id and image_id as worker inputs._responses/ directory belong to exactly one worker.image-worker for single-image processing.image-result-auditor after worker completion.image-commit-manager only after human approval is recorded.references/runtime.mdreferences/troubleshooting.mdreferences/shard-strategy.mdreferences/task-packet-contract.mdreferences/cohort-expansion-truth-sync.mdchecklists/parallel-preflight.mdknowledge_bases/image-job-dispatcher-knowledge-base-at2026-03-28-10-55.mdevals/evals.jsonThis skill may also guide the coordinator when a newly closed image must be folded back into an already-canonical experiment cohort. That extension is limited to truth synchronization:
It still does not own semantic judging, file commit, or baseline promotion.
Export deterministic component-level OCR evidence for one transparent or semi-transparent image by splitting alpha-connected components, writing a component table, and running OCR on each component. Use when bounded component evidence must be exported before any downstream refinement or caption rerun.
Extract bounded OCR evidence from local image files with macos-ocr-mcp, using macOCR only as a fallback reference when MCP coverage is insufficient. Use when downstream refinement or review needs visible-text evidence, not final semantic decisions.
Wrap object-isolation correction as a repo-specific workflow. Use when a local image already exists, the current isolation result is imperfect, and the next step is to choose between ImageSorcery-first, imagegen-first, or a hybrid correction path with a bounded correction packet and worker run.
Promote a bounded parser raw sidecar artifact into the canonical Table -> Row -> Cell schema. Use when a parser MCP returned markdown plus nested JSON sidecars and the project must normalize that output before any downstream wrapper, worksheet, or RAG consumer reads it.
Triage a bounded batch of PPT-extracted images to find the small subset that is mechanically sufficient for alpha-only component splitting. Use when conservative preprocessing is required and only review-gated deterministic candidates should advance beyond the full-image baseline.
Operate an existing markdown review surface in VS Code with fabriqa for same-page image editing and Foam for backlinks and graph navigation, without redefining machine-truth semantics.