twitter-reply

Scrape recent X/Twitter posts and prepare candidate replies for dashboard review.

8|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/art8engine/viralman --skill twitter-reply
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: twitter-reply
Source: https://github.com/art8engine/viralman/tree/main/skills/twitter-reply
Command: npx skills add https://github.com/art8engine/viralman --skill twitter-reply

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you discover recent X/Twitter posts where a project-focused reply will feel natural, then optionally sends those replies only after you approve each one.

Core Features & Use Cases

  • Tweet candidate discovery: Searches recent X posts for high-fit opportunities to engage with your project’s angle.
  • Dashboard-first review: Pushes candidate cards (body, author, link, engagement) to the local dashboard so you can inspect before acting.
  • Controlled, opt-in replies: Composes per-candidate reply drafts, runs a rewrite/quality sniffer pass, and requires explicit per-tweet confirmation before sending.
  • Safety and scope controls: Refuses to engage in private-tweet scraping, avoids retweet chains unless explicitly requested, and respects rate-limit and failure modes.

Quick Start

Tell the assistant: “Use twitter-reply for my project [paste name + short description + URL] and scrape candidates, then I’ll choose which ones to reply to.”

Frequently Asked Questions about twitter-reply

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find relevant tweets to reply to for my project?

Tweet candidate discovery works by scraping recent X posts with a project-informed v2 query and filtering by engagement. Candidates are then pushed to a local dashboard so you can inspect and select them before composing replies.

Can I automatically send Twitter replies without manual approval?

No, sending Twitter replies requires explicit per-candidate user confirmation. The system composes draft replies and runs a quality sniffer pass, but you must explicitly approve each tweet before any posting occurs.

Do I need an LLM API key to draft Twitter replies?

An LLM key is optional but required for composing Twitter reply bodies. While tweet candidate discovery and dashboard review work without it, providing a key enables the system to automatically generate and rewrite draft replies for your review.

What OAuth permissions are needed for Twitter reply marketing?

Twitter reply marketing requires OAuth2 bearer verification for both search and reply scopes. This authentication allows the system to scrape recent tweets based on your project query and handle approved replies on your behalf.

What are the limitations of automated reply marketing on X?

Automated reply marketing limitations include refusing private-tweet scraping and avoiding retweet chains unless explicitly requested. The system also strictly respects rate-limit and failure modes to ensure safe engagement.

How does AI writing work for Twitter lead engagement?

AI writing for Twitter lead engagement drafts per-candidate reply bodies using an optional LLM key. The system runs a rewrite and quality sniffer pass on these drafts before pushing them to the dashboard for your final review and confirmation.