x-research

Search and synthesize real-time X/Twitter discourse via a CLI workflow.

Updated Jan 23, 2026
One-click install
npx skills add https://github.com/zdpk/skills --skill x-research-zdpk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: x-research
Source: https://github.com/zdpk/skills/tree/main/dotfiles/skills/custom/social/x-research
Command: npx skills add https://github.com/zdpk/skills --skill x-research-zdpk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill enables agent-like research on X/Twitter, letting you search, filter, monitor, and synthesize real-time discourse without manual curl commands.

Core Features & Use Cases

  • Search: query tweets with sorting, time filters, and engagement-based ranking.
  • Threading & Deep-Dives: fetch full threads and follow linked content for deeper context.
  • Watchlists & Cost Awareness: monitor key accounts and track API cost-per-use with caching to minimize charges.

Quick Start

Run a quick search from the skill directory to fetch recent tweets and save results for reference

Frequently Asked Questions about x-research

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

FAQPage Schema
How do I monitor specific X Twitter accounts and threads from the command line?

You can monitor specific X Twitter accounts and threads from the command line by using a CLI workflow that sets up watchlists, queries keywords, applies time filters, and expands threads for real-time discourse synthesis.

Can I fetch full Twitter threads and linked content for deep research via a CLI?

Yes, you can fetch full Twitter threads and follow linked content for deep research via a CLI workflow that expands selected threads and caches results to support deeper context analysis.

How does the X API caching mechanism work for Twitter research and monitoring?

The X API caching mechanism works by storing fetched Twitter discourse data locally, which minimizes API charges and provides cost reporting per use during repeated research loops and monitoring.

What is the best way to synthesize real-time Twitter discourse for decision making?

The best way to synthesize real-time Twitter discourse for decision making is using a CLI research loop that queries tweets, applies engagement-based ranking, and expands threads to aggregate context.

Do I need to configure X API cost reporting to monitor Twitter accounts?

Yes, you need to configure X API cost reporting when you monitor Twitter accounts, because the CLI workflow tracks cost-per-use and utilizes caching to minimize API charges against your limits.