Chrome Extension for easy Social Media Automation
git clone https://github.com/Vadagon/Social-Feed-Liker.gitThe Social-Feed-Liker is a powerful Chrome Extension designed to simplify social media automation tasks. With this Claude Code skill, users can effortlessly like posts across various platforms, enhancing engagement without the manual effort typically required. This tool is particularly useful for marketers looking to boost their social media presence efficiently. By automating the liking process, users can focus on crafting compelling content and strategizing their marketing efforts rather than spending hours on repetitive tasks. One of the key benefits of the Social-Feed-Liker is its ability to save time, allowing marketers and social media managers to allocate their resources more effectively. Although specific time savings are currently unknown, the automation of liking posts can significantly reduce the hours spent on social media interactions. This skill is particularly beneficial for those in marketing roles who need to maintain a consistent online presence and engage with their audience regularly. By implementing this skill, users can enhance their workflow automation and improve their overall marketing strategy. The Social-Feed-Liker is ideal for developers, product managers, and AI practitioners who are involved in marketing initiatives. Its intermediate complexity means that users should have a basic understanding of Chrome Extensions and social media dynamics to implement it successfully. The implementation time is approximately 30 minutes, making it a quick addition to any marketing toolkit. This skill fits seamlessly into AI-first workflows, allowing users to leverage AI automation to enhance their social media strategies. Practical use cases for the Social-Feed-Liker include automating the engagement process for businesses looking to increase their visibility on platforms like Facebook, Instagram, and Twitter. For instance, a digital marketing agency can utilize this skill to manage multiple client accounts, ensuring that each account maintains an active presence without the manual workload. Overall, the Social-Feed-Liker is a valuable addition for anyone looking to optimize their social media marketing efforts through AI automation.
["Install the Social-Feed-Liker Chrome Extension from the Chrome Web Store and grant necessary permissions.","Open the extension dashboard and configure your automation rules (e.g., keywords, hashtags, target accounts, and daily like limits).","Set filters to exclude low-quality content (e.g., posts with fewer than 5 likes or older than 7 days) to improve engagement relevance.","Start the automation session and monitor the extension's activity log for errors or spam warnings.","Review the CSV report after each session to analyze performance and adjust rules for better results."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Vadagon/Social-Feed-LikerCopy 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.
Use the Social-Feed-Liker Chrome Extension to automate likes on [PLATFORM] for posts matching the following criteria: [KEYWORDS/TAGS]. Target posts from the last [TIMEFRAME] and limit to [NUMBER] likes per day to avoid spam detection. Prioritize engagement with posts from [TARGET_ACCOUNT] or those using [HASHTAG].
After installing the Social-Feed-Liker Chrome Extension and configuring it with the prompt above, the tool automatically processed 50 eligible posts on LinkedIn within 3 hours. It liked 15 posts from the @TechInnovators account, 20 posts tagged with #AIinBusiness, and 15 posts published in the last 24 hours containing keywords like 'automation' or 'productivity.' The extension skipped 10 posts due to low engagement scores (under 5 likes) and avoided interacting with posts older than 7 days. A summary report generated by the tool showed a 22% increase in profile visits from users whose posts were liked, with 3 new followers gained during the session. The extension logged all actions in a CSV file for review, including timestamps and post URLs for audit purposes.
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