Social Media Automation Toolkit

    by mochalatte

    1

    Automate Instagram posting and optimize Twitter reach using algorithmic insights and Rube MCP integration.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Rewrite this draft for Twitter to maximize reach based on the algorithm: 'I just finished my new open source project. Check it out on GitHub: [link]'

    Your agent does

    Optimization:

    1. Removed external link from main tweet (penalty).
    2. Added hook.
    3. Added reply-seed.

    Revised: I just spent 3 months building [Project Name] in public.

    5 patterns I used to scale to 1k stars: (Thread 1/6) 🧵

    Reply 'LINK' and I'll DM the repo. Which stack are you using?

    What you get

    Scale Instagram posting using Rube MCP for carousels and Reels.Optimize Twitter reach using open-source algorithm engagement weights.Repurpose long-form articles into platform-specific social content.Track Instagram publishing limits and engagement insights automatically.Generate high-conversion hooks for LinkedIn and TikTok content.

    About this skill

    The problem

    Manual social media management leads to inconsistent posting, poor engagement, and content burnout. Developers and creators often struggle to format content for differing platform algorithms or manage the technical overhead of automated posting.

    What it does

    • Optimizes Twitter content using weights from the open-source recommendation algorithm to increase reach.
    • Automates Instagram posts, carousels, and Reels through Rube MCP (Composio) integration.
    • Generates platform-specific content drafts with tailored hooks and hashtag strategies for X, Instagram, LinkedIn, and TikTok.
    • Monitors Instagram publishing limits and pulls engagement insights to adjust strategy.
    • Provides visual asset prompts and structured thread templates to maximize dwell time and interaction.

    Frameworks & tools

    Rube MCP (Composio), Twitter/X Open Source Recommendation Algorithm, Instagram Graph API (via MCP).

    Why this beats prompting it yourself

    General LLMs guess at social media best practices. This skill uses the specific weights of the Twitter algorithm (like reply-bait priority and link penalties) and provides the technical bridge to actually execute posts on Instagram without manual UI work.

    Use cases

    • Convert technical blog posts into high-engagement Twitter threads and LinkedIn carousels.
    • Scale Instagram presence by automating daily media uploads and caption generation.
    • Audit recent tweets to identify why they failed to gain algorithmic traction.
    • Build a 30-day cross-platform content calendar with specific visual prompts.

    Known limitations

    Requires Rube MCP credentials for Instagram automation. Content patterns are optimized for English-language audiences. Does not include native image generation; produces text prompts for external tools.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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