Social Media automation application built on Flask. Uses instagrapi to automate posting at scheduled times, and allows user to make AI generated posts. Twitter API is used in order to allow the user to tweet from the site. Utilizes SQLAlchemy for the login, registration process and database, and includes email verification and forgot password.
git clone https://github.com/ankitsharma-tech/Flask-Social-Media-Automation.gitThe Flask-Social-Media-Automation skill is a powerful tool designed to streamline social media management for marketers and content creators. Built on the Flask framework, this application leverages instagrapi to automate posting at scheduled times, enabling users to maintain a consistent online presence effortlessly. With the integration of Twitter API, users can tweet directly from the site, making it a versatile solution for managing multiple social media platforms in one place. The use of SQLAlchemy facilitates a secure login and registration process, complete with email verification and password recovery options, ensuring a seamless user experience. One of the key benefits of this AI automation skill is the significant time savings it offers. By automating the posting process and allowing for AI-generated content, users can focus on strategy and engagement rather than the repetitive task of manual posting. This skill is particularly beneficial for marketers and social media managers who need to maintain an active presence across various platforms without dedicating excessive time to content creation and scheduling. With an implementation time of just 30 minutes, users can quickly set up and start reaping the benefits of automated social media management. The target personas for this skill include developers, product managers, and AI practitioners who are looking to enhance their marketing workflows. Whether you are a small business owner seeking to improve your social media strategy or a marketing professional aiming to optimize your campaigns, this skill provides the tools necessary to elevate your social media efforts. Practical use cases include scheduling promotional posts, sharing blog content, or even creating engaging social media campaigns that resonate with your audience—all automated and optimized for efficiency. While the skill is categorized as intermediate in terms of implementation difficulty, the requirements are straightforward. Users should have a basic understanding of Flask and API integrations. By incorporating this skill into an AI-first workflow, businesses can leverage automation to not only save time but also enhance their marketing strategies, making it a valuable addition to any tech-savvy marketer's toolkit.
["Set up the Flask app with SQLAlchemy for user authentication. Configure email verification (e.g., using Flask-Mail) and password recovery endpoints. Test registration with a dummy email like *[email protected]*.","Integrate the chosen social media APIs (instagrapi for Instagram, Twitter API v2 for Twitter). Authenticate using your developer accounts and store API keys securely in environment variables.","Design content templates or prompts for AI-generated posts. For example, use a prompt like: *“Generate a 120-character Instagram caption for a [PRODUCT] targeting [AUDIENCE]. Include emojis and a trending hashtag.”* Store these in a database or config file.","Schedule posts using a task queue (e.g., Celery with Redis). Define posting times (e.g., 9 AM daily) and platforms. Test with a single post before automating the full queue.","Monitor the dashboard for errors or engagement metrics. Adjust AI prompts or schedules based on performance. Use Flask’s error logs to debug API failures or authentication issues."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/ankitsharma-tech/Flask-Social-Media-AutomationCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a Flask-Social-Media-Automation application that automates [SOCIAL_PLATFORM: Instagram/Twitter] posting with scheduled content. Use [INSTAGRAM_API: instagrapi] or [TWITTER_API: Twitter API v2] for posting. Include user authentication with SQLAlchemy, email verification, and password recovery. Generate AI-crafted posts for [TOPIC/AUDIENCE] and schedule them for [TIME: e.g., 9 AM daily]. Ensure the app supports [FEATURE: e.g., multi-platform posting, analytics dashboard, or content templates].
Here’s a breakdown of a Flask-Social-Media-Automation application built for a small marketing agency managing Instagram and Twitter accounts for a lifestyle brand. The app automates daily posts at 9 AM, includes AI-generated captions, and tracks engagement metrics. **Authentication & User Management:** - Users register via email (e.g., *[email protected]*) and verify their account through a link sent to their inbox. - Password recovery is enabled via email reset links. - SQLAlchemy manages user data, including roles (admin, content creator, viewer). **Content Automation:** - For Instagram, the app uses *instagrapi* to post carousel images (e.g., product shots of a new skincare line) with AI-generated captions like: *“Glow up with our new Vitamin C serum—your skin’s new BFF! 🌿✨ #SkincareRoutine #VitaminCBoost”*. - Twitter posts are scheduled via the Twitter API v2, sharing blog links (e.g., *“10 Ways to Refresh Your Morning Routine 🌅☕ #MorningMotivation”*). - The AI post generator uses a prompt like: *“Write a 100-character Instagram caption for a [PRODUCT: organic tea brand] promoting relaxation. Include emojis and a hashtag.”* **Scheduling & Analytics:** - Posts are scheduled in a queue (e.g., 3 Instagram posts and 2 tweets for the week). - The dashboard shows engagement metrics: Instagram posts average 120 likes, while Twitter posts get 45 retweets. - Admins can adjust schedules or regenerate AI captions if performance dips. **Error Handling:** - If Instagram posting fails (e.g., API rate limits), the app logs the error and retries after 15 minutes. - Email alerts notify admins of failed posts or authentication issues. This setup saves the agency 10+ hours/week by automating repetitive tasks while maintaining a consistent brand voice.
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