Sunwood-ai-labs

comfyui-workflow-node-dev

Develop, refactor, and debug ComfyUI workflows and custom nodes, especially when Codex must preserve upstream workflow structure, redesign App mode inputs, fix COMBO or upload schema issues, inspect `/object_info`, separate stale Desktop backends from fresh API servers, or verify execution with `/prompt` smoke runs.

Sunwood-ai-labs 0 Updated 2mo ago

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npx skillscat add sunwood-ai-labs/comfyui-workflow-node-dev

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SKILL.md

ComfyUI Workflow Node Dev

Start Here

  • Identify the active layer before editing anything: workflow JSON, custom node Python, App mode metadata, backend schema, or runtime execution.
  • Read references/design-patterns.md when the task involves workflow rewrites, custom-node surface design, input modeling, or shareable sample workflows.
  • Read references/app-mode-schema.md when the task involves App mode, extra.linearData, widget exposure, COMBO definitions, upload widgets, /object_info, or stale backend symptoms.
  • Read references/validation-and-ops.md when the task needs runtime verification, /prompt smoke coverage, Desktop-versus-fresh backend diagnosis, Windows local development tips, or release-ready evidence.

Build Context Before Editing

  • Preserve an untouched backup of the upstream workflow JSON and keep stage-by-stage snapshots when iterating.
  • Decide early whether the task should be solved by restructuring the workflow itself or by adding a helper custom node. Do not hide major workflow drift behind a compatibility shim unless backward compatibility is the explicit goal.
  • Map every user-facing input to the right interaction model before editing: folder selector, upload widget, numeric widget, seed widget, or internal linked value.
  • Separate what must be validated in clean-room API runs from what must be verified against the user's current Desktop runtime.

Follow These Guardrails

  • Prefer a native public node surface once the canonical node names, categories, and widget labels are clear.
  • Prefer folder selectors for variable-size image sets and upload widgets for natural single-file inputs such as source audio.
  • Load long audio once and slice segments downstream instead of reloading per segment.
  • Keep public sample workflows shareable and blank by default. Inject machine-local assets only during automated smoke runs.
  • Separate a lightweight smoke workflow from a heavy production workflow whenever the full inference path is expensive.
  • Use uv run for Python-based checks, helpers, and verification scripts.

Verify Before Closing

  1. Run the smallest applicable unit or helper-level checks first.
  2. Validate static workflow structure, required inputs, and layout assumptions.
  3. Validate backend contract truth with /object_info.
  4. Run a real /prompt smoke path for runtime-sensitive changes.
  5. Spot-check the actual Desktop or App mode UI when the user-facing runtime matters.
  • Do not call a ComfyUI workflow or custom node "working" if the task depends on runtime behavior and has not been exercised through step 4.
  • Record concrete evidence such as commands, prompt_id, uploaded sample assets, output files, and anything still unverified.

Resources