An automated monitoring tool that fetches, summarizes, and delivers daily AI and tech insights from Twitter to Discord or other messaging platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-twitter-digest
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-twitter-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI Twitter Digest is a robust automation tool designed to transform high-volume social media noise into actionable intelligence. By monitoring a curated list of AI and tech influencers via the AISA API, this skill uses advanced LLMs—including Claude, GPT-4, or Gemini—to generate concise, readable summaries. It is one of the premier Openclaw Skills for developers and researchers who need to stay updated on industry trends without the distraction of manual scrolling. The skill intelligently handles content in multiple languages, defaulting to Chinese, and ensures a clean delivery to your preferred communication workspace.
Begin by running the interactive setup wizard to configure your environment variables and test connectivity:
python3 scripts/setup.py
The wizard will auto-detect keys for Openclaw Skills and generate a .env file. For manual setup, ensure your scripts/.env contains your AISA_API_KEY, DELIVERY_CHANNEL, and at least one LLM API key. To automate the digest, use the OpenClaw cron system:
openclaw cron add "AI Twitter Digest" "30 15 * * *" "python3 /path/to/monitor.py" --timezone "America/New_York"
The skill manages its operation through a local state file and environment configuration. Below is the organization of data for Openclaw Skills:
| Data Object | Format | Purpose |
|---|---|---|
.env |
Key-Value | Stores API credentials and delivery targets |
STATE_FILE |
JSON | Tracks processed tweet IDs (e.g., ~/.ai-twitter-sent.json) |
ACCOUNTS |
Python List | Contains the target Twitter handles to be monitored in monitor.py |
Output |
Markdown | Formatted summary with [原文链接] hyperlinking and card previews |
SUMMARY_LANGUAGE flag.MAX_STORED_IDS to control the local deduplication database size.Loading
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