Image Generation

PostPlusAI/postplus-skills/skills/10-routing/image-generation

by PostPlusAI7f28d1494958f69136a7d6fe85fdea3942a300f3No licenseListed Oct 9, 2026Updated Oct 9, 2026

Plan image creation or edits from prompts, products, or references. Resolve task type, model, and reference rules before handing ready requests to image-batch-runner.

AI-generated overview

Plans image generation or editing requests by classifying the task, choosing model and reference rules, and preparing a runner handoff.

What it does
This skill acts as an image generation controller that does not submit jobs itself. It identifies the input type, classifies the image task (such as text-to-image, image edit, product image, banner, storyboard, or batch variant), and selects model and reference rules. It then produces a structured handoff containing taskClass, inputType, modelRule, referencePolicy, requiredRunnerInputs, handoffSkill, and mustNotDo for a separate execution skill.
When to use it
Use it when the desired final asset is an image or image batch and the next decision is task class, model and reference policy, or runner handoff. It is not for requests that are already normalized and ready to execute, nor for video, audio, subtitle, or transcript outputs.
Requirements
No scripts or special tools are required; it is instruction-driven and produces the controller handoff artifact from available evidence. It references other skills for execution and routing but does not call private provider or runtime paths.

Image Generation

Use When

  • The desired final asset is an image or image batch.
  • The request may include text prompts, uploaded images, previous outputs, product URLs, research handoffs, product images, persona images, banners, thumbnails, storyboard panels, or batch variants.
  • The next decision is task class, model/reference policy, and runner handoff.

Do Not Use When

  • The final asset is video, audio, subtitles, transcripts, or an edit plan.
  • The image request is already normalized and ready to execute. Use image-batch-runner.
  • The user needs hook or benchmark decoding first. Use reference-decode.

Core Boundary

This is the image generation controller. It does not submit jobs.

It must:

  1. identify the input type,
  2. classify the image task,
  3. select model and reference rules,
  4. create the handoff for image-batch-runner.

Task Classes

Task classTypical inputHandoff
text_to_imageprompt onlywrite normalized image brief for image-batch-runner
image_edituploaded image plus change requestbind edit image and preserve/alter rules
reference_imagebenchmark frame or style boardstate its intended influence in the runner handoff
product_imageproduct photo, URL, or product factsbind product identity and forbid invented claims
banner_thumbnailoffer, hook, platformrequire aspect ratio and text/UI policy
storyboard_imagepanel plan or board spechand storyboard panels to image-batch-runner
batch_variantmany variants or personaspreserve shared rules and vary only declared fields

Model And Reference Rules

  • Text-only drafts may use a text-to-image endpoint.
  • Edits require a bound source image and an edit-capable endpoint.
  • Persona, product, and brand identity are binding references unless the user explicitly marks them inspiration-only.
  • Benchmark clips, mood boards, and competitor references are inspiration-only unless the contract says otherwise.
  • Excluded references must not enter the runner request.

Routing Table

If not image-generationSend to
Needs media understanding firstmedia-analysis
Needs reference meaning decodedreference-decode
Needs storyboard panelsPrepare the panel plan here before image-batch-runner
Needs execution with normalized requestimage-batch-runner
Final output is videovideo-batch-runner
Final output is audioaudio-generation

Output Shape

Return:

  • taskClass
  • inputType
  • modelRule
  • referencePolicy
  • requiredRunnerInputs
  • handoffSkill
  • mustNotDo

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result.
  • Do not let image-batch-runner make creative classification decisions.

Public Command Boundary

  • Choose the smallest matching command or workflow from the user input and run it directly.

  • This public skill is instruction-driven. Produce the controller handoff artifact directly from the available evidence.

  • Do not call private provider/runtime paths or unpublished local tools.

  • If the CLI returns a quote-confirmation challenge, obtain user approval for its scope and cost before running postplus quote confirm --json --challenge-file <challenge.json> and retry with the returned token.

Source and attribution

Source:PostPlusAI/postplus-skillsinskills/10-routing/image-generationat commit7f28d14

License: No license

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