A professional-grade research agent that searches X for real-time developer discussions, product feedback, and industry trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install x-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is X-Research?
The X-Research skill is a specialized agentic tool designed for high-signal data extraction from Twitter. It functions as a real-time research engine, allowing AI agents to navigate the vast discourse of social media to find expert opinions, technical feedback, and breaking industry news. By integrating this into your Openclaw Skills library, you enable your agent to move beyond static data and tap into the living pulse of the developer community and industry experts.
This skill is built for depth, not just surface-level results. It handles complex query decomposition, follows threaded conversations to capture full context, and even extracts linked resources like GitHub repositories or technical blogs for further analysis. It is an indispensable asset for developers who need to monitor library updates, API changes, or emerging market trends through the lens of Openclaw Skills.
X-Research Use Cases
- Tracking real-time developer sentiment and feedback on new software releases.
- Researching industry trends and breaking news through expert perspectives.
- Monitoring specific accounts or competitors for technical updates and announcements.
- Synthesizing sourced briefings from complex, multi-threaded community discussions.
- Identifying pain points and migration issues mentioned by users in real-time.
How X-Research Works
- Query Decomposition: The agent breaks down a research goal into multiple targeted queries using advanced X search operators.
- Iterative Search: It executes searches via the CLI, applying filters for engagement, timeframes, and noise reduction.
- Thread Analysis: High-signal tweets are expanded into full conversation threads to capture rebuttals and detailed context.
- Link Deep-Diving: The agent identifies and fetches external resources like GitHub links or blog posts mentioned in tweets.
- Synthesis: All findings are grouped by theme and formatted into a structured markdown report with full sourcing.
X-Research Setup
To get started with this skill in your Openclaw Skills environment, navigate to the skill directory and ensure your environment variables are loaded:
cd ~/clawd/skills/x-research
source ~/.config/env/global.env
You can then run a quick search to verify the installation:
bun run x-search.ts search "AI agents" --quick
X-Research Data Schema & Taxonomy
The skill manages its research data and configurations through a structured file system:
| Location | Description |
|---|---|
data/watchlist.json |
Stores the list of X accounts for automated monitoring. |
data/cache/ |
Maintains a 15-minute TTL cache of API responses to optimize costs. |
~/clawd/drafts/ |
The default destination for saved research markdown files (--save). |
references/x-api.md |
Contains technical documentation for the X API endpoints and operators. |
X-Research Advanced Features
- Agentic Research Loop: Automates the process of refining queries based on initial search results to maximize signal.
- Heartbeat Integration: Periodically checks a watchlist of key accounts to flag actionable updates for the user.
- Advanced Noise Filtering: Built-in heuristics to exclude retweets, replies, and common crypto-related spam (e.g., airdrops).
- Flexible Output Formats: Supports raw JSON for programmatic use or Markdown for human-readable research documentation.
- Engagement Weighting: Sort and filter results by likes, impressions, or retweets to prioritize authority and reach.
SKILL.md
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