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grok reply assist
Automated Grok-powered reply drafting for X mentions and DMs via file exports.
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grok reply assist
Example session with this skill installed
Draft replies for the new mentions in ./exports/mentions_july_12.json using a professional but witty tone.
- Read your context and instructions
- Compiled the grok reply assist
- Generated the document
Processed the export file and identified 4 new mentions. I have generated drafts using the Grok API with a professional and witty tone.
Suggested Replies Report
| Handle | Original Mention | Suggested Reply | Rationale |
|---|---|---|---|
| @dev_null | "Your API documentation is missing the webhook retry logic. Is it 3 or 5 tries?" | "Eagle eye! It is 5 retries. We are updating the docs now so you can get back to breaking things (in a good way)." | Acknowledges the technical error while maintaining a lighthearted developer-to-developer rapport. |
| @startup_ceo | "Really impressed with the new dashboard speed. What changed?" | "We swapped the hamsters for high-velocity turbines (and optimized our DB queries). Glad you're feeling the speed!" | Uses the 'witty' constraint to make a standard optimization update sound more engaging. |
| @user123 | "When is the mobile app coming to Android?" | "We haven't forgotten our Android friends! We are in the final polishing phase. Stay tuned for a beta invite soon." | Professional and encouraging without committing to a hard date that might be missed. |
| @tech_guru | "Just wrote a blog post featuring your tool!" | "We saw that! Thanks for the deep dive. We especially liked your take on the CLI workflow. Drinks are on us next time!" | High engagement reply that rewards the user for creating content about the product. |
Next steps
- Download the generated
replies.zipto access the full Markdown report. - Review the drafts in
replies.mdand copy-paste your preferred responses to X. - Update your
mentions_export_pathfor the next scheduled run.
grok-reply-assist.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
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What you get
About this skill
The problem
Managing high-volume X (Twitter) interactions is time-consuming. You need to maintain a consistent voice across dozens of mentions and DMs without spending hours drafting manual responses.
What it does
- Processes local X mention and DM export files to identify new, unhandled interactions.
- Generates personalized reply drafts using the Grok/xAI API based on your specific tone settings.
- Provides a rationale for each suggested response to help you decide which drafts to use.
- Packages all suggestions into a portable ZIP file containing a structured Markdown report.
- Skips execution and billing if no new mentions are detected since the last run.
Why this beats prompting it yourself
Manually feeding DMs into an LLM one-by-one is tedious and lacks context tracking. This skill automates the diffing process, ensures your specific brand voice is applied consistently across all items, and only charges you when there is actual work to do.
Use cases
- Drafting batch responses to customer support inquiries received via DM.
- Maintaining community engagement by replying to mentions after a product launch.
- Preparing a daily queue of social media interactions for manual review and posting.
Known limitations
Requires manual export of X data as it does not have live account access. It cannot post replies directly to the platform.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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