muapi-instagram-post

Instagram Post

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

Inputs

Steps

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

Phase A — Generate the hero image

1. 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.
2. Call muapi image generate (model=nano-banana-2, aspect_ratio={{format}}).
3. If the user provided a product or subject image in the session, prefer muapi image edit instead to maintain visual consistency.

Phase B — Caption & Hashtags

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.

Notes

• 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.

Trigger Keywords

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

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Notes for the Executing Agent

• 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.