Automates Twitter engagement by following users, liking, retweeting, and commenting on posts. Benefits marketing teams by increasing brand visibility and audience interaction. Connects to Twitter API for automation.
git clone https://github.com/somiibo/twitter-bot.gitAutomates Twitter engagement by following users, liking, retweeting, and commenting on posts. Benefits marketing teams by increasing brand visibility and audience interaction. Connects to Twitter API for automation.
1. **Set Up Twitter API Access:** Create a developer account at [developer.twitter.com](https://developer.twitter.com) and generate API keys for your bot. 2. **Define Targets:** Replace [TARGET_AUDIENCE], [KEYWORDS], and [BRAND_NAME] in the prompt template with your specific criteria (e.g., 'AI SaaS founders' or 'machine learning enthusiasts'). 3. **Configure Limits:** Set [MAX_ACTIONS_PER_DAY] (e.g., 100) to avoid triggering Twitter’s spam filters. Schedule runs at [TIME] (e.g., 9 AM local time). 4. **Run the Bot:** Paste the prompt into your AI tool (e.g., ChatGPT) and execute. Review the output for errors or adjustments. 5. **Monitor & Iterate:** Track metrics like follower growth and engagement rates. Refine keywords or audience targets weekly based on performance. **Tips:** - Use tools like [TweetDeck](https://tweetdeck.twitter.com) to manually verify bot activity. - Avoid over-automating; mix bot actions with organic engagement to appear natural. - Rotate reply templates to prevent repetitive comments.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/somiibo/twitter-botCopy 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.
Act as a Twitter engagement bot for [BRAND_NAME]. Automate the following tasks: 1) Follow [TARGET_AUDIENCE] (e.g., 'startup founders in AI') who have posted in the last [X] days. 2) Like and retweet their tweets containing [KEYWORDS] (e.g., 'machine learning'). 3) Reply to their tweets with a personalized comment like '[BRAND_NAME]’s latest tool could help with that. Check out our [LINK_TO_RESOURCE]!' Use [MAX_ACTIONS_PER_DAY] actions per day to avoid spam. Run this daily at [TIME].
### Twitter Engagement Bot Report for AcmeAI (June 5, 2024) **Actions Completed:** - **Followed:** 47 users in the 'AI startups' niche who posted in the last 7 days. - **Liked:** 123 tweets containing 'machine learning' or 'AI tools'. - **Retweeted:** 89 tweets from users with 1K–10K followers. - **Replied:** 34 personalized comments to tweets mentioning 'data analysis' or 'automation'. **Top Engaged Users:** 1. @TechGuru99 (12K followers): Liked their tweet about 'AI in healthcare' and replied: "AcmeAI’s latest tool could help with that. Check out our [case study on AI diagnostics](https://acmeai.com/case-study)!" 2. @DataDrivenDev (8K followers): Retweeted their thread on 'Python libraries for ML' and added: "Great insights! We’ve compiled a [free guide](https://acmeai.com/python-guide) on this topic." **Results:** - 12 new followers gained from replies. - 3 users clicked through to the linked resource. - No spam flags or account restrictions triggered. **Next Steps:** - Adjust keywords to include 'deep learning' for broader reach. - Schedule the bot to run at 9 AM EST to maximize engagement.
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