Instagram carousel cover image

Create a clean first-slide cover for carousel posts

Use this skill when you need a repeatable image workflow, not a one-off prompt guess. It defines the input, output, tool path, and quality gate before generation starts.

Input

text brief

Output

carousel cover

Use this skill Copy options

Best fit

Social sharing covers

IdeogramGPT Image 2Recraft

Good creator overlap

Job to be done

Create carousel cover from text brief, using a task-first workflow instead of a loose prompt dump.

Workflow type

readable-text, text-to-image

Quality promise

The output must preserve user intent, survive visual inspection, and be ready for the target channel.

Workflow outline

Prepare the source input: text brief.
Pick a first tool path: Ideogram, GPT Image 2, Recraft.
Generate or edit toward the promised deliverable: carousel cover.
Review the image for drift, broken details, unreadable text, and weak composition.
Save the prompt, references, and final settings that produced the best reusable result.

Copy-ready skill card

Skill: Instagram carousel cover image

Scene: Life / Social sharing covers

Input: text brief

Output: carousel cover

Tools: Ideogram, GPT Image 2, Recraft

Example input: Input: text brief

Goal: describe the target channel, audience, style, and non-negotiable details.

Constraints: list what must stay unchanged and what can be creatively changed.

Quality check: the result must match the promised output and preserve the user intent.

Branch logic

If the user has not provided text brief, ask for it before generating the final carousel cover.
If a reference image is provided, preserve the subject identity, proportions, and important details before changing style or scene.
If the first result fails visual inspection, fix the smallest broken area first instead of regenerating the whole image.
If the first tool path fails, switch to the next listed option: GPT Image 2, Recraft.
If the task depends on masks, text, or object edges, inspect those details at full size before accepting the output.
If the image will be published commercially or publicly, run the risk guardrails before export.

When not to use

Do not use this as proof that the generated carousel cover is factually real or legally approved.
Do not use it when the user needs professional legal, medical, safety, or regulated-compliance judgment.
Do not publish the result until rights, consent, authenticity, and platform constraints have been checked.

Copy distribution

Take this skill into your AI tool as a prompt, a workflow card, or a portable SKILL.md draft.

Quality gate

The final asset clearly matches the requested carousel cover.
The main subject still reflects the original text brief.
Text, hands, logos, edges, and product details are not visibly broken.
The result is usable in the target channel without another full regeneration.
Proofread all visible text, labels, logos, and small typography before using the final image.