Instagram Post

Create a polished, on-brand Instagram post — square or portrait hero image with matching caption and hashtags.

Inputs

Name	Type	Required	Default	Description
`brief`	text	yes	—	What the post is about (e.g. "summer coffee launch at our café, warm golden vibes").
`brand_style`	text	no	modern, vibrant, clean typography, lifestyle photography aesthetic	Brand personality and visual style tags.
`format`	text	no	1:1	Post format — "1:1" for feed square, "4:5" for portrait feed, "9:16" for Reels.

This skill produces one polished Instagram-ready visual + caption. Use the plan if generating more than one variant.

Write a detailed, atmosphere-rich image prompt based on {{brief}} and {{brand_style}}:
- Include lighting direction, color palette, mood, subject placement, and lens feel.
- Optimize for Instagram aesthetics: clean, punchy, single focal point.
- Append style tags: {{brand_style}}, social media photography, highly detailed.
Call muapi image generate (model=nano-banana-2, aspect_ratio={{format}}).
If the user provided a product or subject image in the session, prefer muapi image edit instead to maintain visual consistency.

After the image is generated, compose and return:

Caption: 2–4 lines. Hook line first (punchy, curiosity-driving), then brand message, then CTA.
Hashtags: 15–20 targeted hashtags (mix of niche, mid-tier, and broad). Format as a separate block.

Prioritize scroll-stopping first impressions — the image must visually communicate the brief within 2 seconds.
If format is 9:16 (Reels cover), note that text overlays are common; include a suggestion for on-screen text placement.
Do NOT generate multiple variants unless the user explicitly asks.

instagram post, ig post, instagram, feed post, instagram creative

This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.