image-generation
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.
- Installs
- 705
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill image-generation- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads image-generation automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
- identify the input type,
- classify the image task,
- select model and reference rules,
- create the handoff for
image-batch-runner.
Task Classes
| Task class | Typical input | Handoff |
|---|---|---|
text_to_image | prompt only | write normalized image brief for image-batch-runner |
image_edit | uploaded image plus change request | bind edit image and preserve/alter rules |
reference_image | benchmark frame or style board | state its intended influence in the runner handoff |
product_image | product photo, URL, or product facts | bind product identity and forbid invented claims |
banner_thumbnail | offer, hook, platform | require aspect ratio and text/UI policy |
storyboard_image | panel plan or board spec | hand storyboard panels to image-batch-runner |
batch_variant | many variants or personas | preserve 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
bindingreferences 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-generation | Send to |
|---|---|
| Needs media understanding first | media-analysis |
| Needs reference meaning decoded | reference-decode |
| Needs storyboard panels | Prepare the panel plan here before image-batch-runner |
| Needs execution with normalized request | image-batch-runner |
| Final output is video | video-batch-runner |
Output Shape
Return:
taskClassinputTypemodelRulereferencePolicyrequiredRunnerInputshandoffSkillmustNotDo
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-runnermake 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.
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Do not call private provider/runtime paths or unpublished local tools.
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Requested tasks use existing PostPlus credits after the current price and balance are checked. Estimate-only requests do not execute. Stop on insufficient credits; do not recharge, buy a subscription, or repeat an uncertain paid operation.
FAQ
What does the image-generation skill do?
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.
How do I install image-generation?
Run npx skills add https://github.com/postplusai/postplus-skills --skill image-generation in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/image-generation/ (personal) or .claude/skills/image-generation/ (project).
Which AI agents can use image-generation?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is image-generation safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains image-generation?
It is published by postplusai in postplusai/postplus-skills. It has 705 recorded installs.
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