x-research

What This Skill Does

The x-research skill enables your OpenClaw agent to perform deep, high-fidelity research directly on the X/Twitter platform. Unlike standard browser-based searches that often struggle with real-time social sentiment, this skill leverages the powerful twitterapi.io backend. It allows you to search the full historical archive, filter by engagement metrics, track specific users via a watchlist, and pull entire conversation threads. It transforms X from a noisy feed into a structured data source for your technical or cultural research, outputting findings in clean Markdown or JSON.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/blascokoa/twitterapi-research-skill

Ensure you have your environment variables configured by sourcing your global config: source ~/.config/env/global.env

Note: You must have a valid TWITTERAPI_IO_KEY defined in your environment, as the skill relies on this third-party service to execute queries against the X ecosystem.

Use Cases

• Technical Due Diligence: Research developer sentiment on new library releases, API breaking changes, or framework deprecations.
• Trend Analysis: Gauge community reactions to product launches or industry-wide events in real-time.
• Expert Monitoring: Keep a pulse on thought leaders by maintaining a watchlist of key accounts and pulling their recent insights into a curated briefing.
• Historical Investigation: Use the full-archive access to trace the development of a conversation or controversy over months or years, rather than being limited to the standard 7-day search window.

Example Prompts

1. "X research: What are senior engineers saying about the recent updates to the React compiler?"
2. "Search X for recent discussions on the $BNKR token and summarize the community sentiment."
3. "Check X for what @voidcider has been posting about AI agents lately and save it to a markdown file."

Tips & Limitations

• Efficiency: Use the --quick flag for rapid exploratory searches to minimize API costs and noise.
• Filtering: Always utilize engagement filters like --min-likes or --quality when researching popular topics to avoid bot spam and low-signal noise.
• Cost Awareness: This skill interacts with a paid API service; always monitor the estimated costs displayed in the terminal during your search sessions.
• Scope: This tool is strictly for research and retrieval. It does not support posting tweets, replying, or managing account authentication settings.