n8n-workflow-lifecycle-official
Covers n8n workflows from creation through publishing, including visual layout, sticky notes, meaningful descriptions, and node names. Supports validation, testing, archiving, and folder or project organization.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Covers n8n workflows from creation through publishing, including visual layout, sticky notes, meaningful descriptions, and node names. Supports validation, testing, archiving, and folder or project organization.
Provides architectural patterns for building workflows and connecting services. Covers webhook processing, API and database operations, AI agents, scheduled jobs, and performance tuning through batching and execution-mode choices.
Analyzes naming in code and proposes better names for variables, functions, and classes. Bases suggestions on the surrounding context and relevant conventions.
Define naming patterns for design system components, tokens, and layers. Provide worked examples to establish or improve consistency.
Recommends Korean names based on birth date and time, surname, and candidate names. Uses traditional saju five-element interpretations and name-analysis scores as reference points.
Provides model-specific prompting for rapid image iteration, typography, predictable framing, and optional web-grounded context. Covers resolution tiers, safety-tolerance settings, CLI invocation, and alternative model selection.
Guides Nano Banana 2 image generation for rapid iteration, in-image typography, and predictable framing. Covers optional web-grounded context, resolution pricing, safety settings, and selection of alternative models.
Covers rapid iteration, in-image typography, framing, and optional web-grounded context. Includes resolution-tier pricing, safety-tolerance settings, and guidance on selecting alternative image models.
Uses Nano Banana 2's RunComfy edit endpoint for background swaps, spatially localized edits, and identity preservation. Covers batch editing of up to twenty inputs, schema guidance, and alternative models.
Uses Nano Banana 2's edit endpoint on RunComfy for background swaps and edits localized through spatial language. Covers subject preservation, batches of up to twenty inputs, and alternative editor selection.
Provides RunComfy guidance for background replacement and localized edits described with spatial language. Covers subject identity preservation, multi-image batch editing, the input schema, and alternative model selection.
Uses Gemini 3 Pro Image for text-to-image generation and image-to-image editing. Supports changes to existing images, such as replacing elements or backgrounds, with configurable output resolution.
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