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Automate Instagram carousel marketing for your app using AI-generated images, text overlays, and Dropspace for publishing/analytics. Use when creating Instagram posts, analyzing carousel performance, or managing Instagram content strategy.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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Content clipping engine โ process videos and images from Google Drive into short-form content. Video clips via audio peak detection + FFmpeg. Image slideshows via Drive folder selection + canvas overlays. Use when user asks to clip videos, create slideshows from photos, process footage, or create short-form content from existing media.
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Create and publish social media launches via the Dropspace API. Use when user wants to post to social media, create launches, manage personas, track post analytics, schedule content, or anything Dropspace-related. Supports 10 platforms (Twitter, LinkedIn, Reddit, Instagram, TikTok, Facebook, YouTube, Substack, Product Hunt, Hacker News) with per-post analytics and AI content generation.
| name | |
| description | Automate Instagram carousel marketing for your app using AI-generated images, text overlays, and Dropspace for publishing/analytics. Use when creating Instagram posts, analyzing carousel performance, or managing Instagram content strategy. |
Automate Instagram carousel marketing: generate images โ overlay text โ publish via Dropspace โ track โ iterate.
All platforms share a common engine at ~/markus/. No per-platform scripts โ everything runs through shared engines with platform config from platforms.js.
Data: ~/markus/apps/{app}/instagram/ (strategy.json, posts.json, failures.json, pending-batches.json, posts/)
App config: ~/markus/apps/{app}/app.json
~/markus/)# Create a carousel (auto-picks from queue)
node engines/create-visual-post-engine.js --app <APP> --platform instagram --next --schedule "2026-03-04T13:00:00Z"
# Pre-generate images via OpenAI Batch API
# Self-improve (analytics + strategy optimization)
node engines/self-improve-engine.js --app <APP> --platform instagram --days 14
# Validate setup
# Add posts to queue
echo '{"posts":[...],"notes":"..."}' | node scripts/add-posts.js --app <APP> --platform instagram
| Slide | Purpose | Text Style |
|---|---|---|
| 1 | HOOK โ stop the scroll | Full hook text, relatable problem |
| 2 | PROBLEM โ amplify pain | Build tension |
| 3 | DISCOVERY โ turning point | "So I tried this..." |
| 4 | TRANSFORMATION 1 โ first result | "Wait... this actually works?" |
| 5 | TRANSFORMATION 2 โ escalate | "Okay I'm obsessed" |
Note: Slide 6 (CTA) is engine-appended. The LLM generates 5 content slides only.
Same rules as TikTok:
[hook matching slide 1] ๐ญ [2-3 sentences of relatable struggle].
So I found [APP NAME] that [what it does in one sentence] โ
you just [simple action] and it [result].
I tried [thing 1] and [thing 2] and honestly?? [emotional reaction].
[funny/relatable closer]
DM me "launch" for the link ๐
#hashtag1 #hashtag2 ... #hashtag20
Rules:
story-slideshow uses sceneAnchor + slideMoods (locked architecture โ see formats.js):
{
"format": "story-slideshow",
"text": "Hook text",
"slideTexts": ["Slide 1", "Slide 2", "Slide 3", "Slide 4", "Slide 5"],
"sceneAnchor": "Detailed scene (150-300 words). Shared across all slides.",
"slideMoods": ["mood 1", "mood 2", "mood 3", "mood 4", "mood 5"],
"caption": "Caption"
}
Other visual formats use slidePrompts. Video formats use videoPrompt. See formats.js for full format specs.
Instagram has lower organic reach than TikTok:
views, likes, comments, shares, saved, engagement rate
Note: The pipeline now uses engagement rate as the primary optimization signal. Raw view thresholds are secondary guidance.