A high-signal X (Twitter) aggregator that deduplicates For You and Following timelines into a structured, LLM-ready digest.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-timeline-digest
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-timeline-digest 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 Timeline Digest?
The X Timeline Digest is a sophisticated automation tool designed to cut through the noise of social media. By leveraging the bird CLI, this skill fetches content from both your personalized For You and Following timelines. It focuses on signal over noise by applying incremental filtering, hard deduplication by ID, and near-duplicate text detection.
As one of the most efficient Openclaw Skills for information gathering, it prepares a clean dataset that can be further processed by an LLM to generate categorized Chinese-language summaries. This ensures you never miss critical updates while avoiding repetitive content, making it an essential part of any modern developer's information workflow.
X Timeline Digest Use Cases
- Consolidating high-value tech and AI news from X without the distraction of manual scrolling.
- Generating daily or interval-based intelligence reports for professional research workflows.
- Feeding curated social media insights into upstream delivery channels like Telegram, Discord, or Email.
- Automating the translation and summarization of global Twitter trends into Simplified Chinese for easier consumption.
How X Timeline Digest Works
- The skill invokes the bird CLI to fetch a specific number of tweets from both the For You and Following timelines.
- It applies an incremental filter based on the last run timestamp stored in the state file to avoid re-processing old data.
- A multi-stage deduplication process removes exact ID matches and near-duplicate text using a configurable similarity threshold.
- Heuristic filtering removes low-value content such as ads, generic greetings, and short spam.
- The remaining high-quality items are ranked and trimmed to the user-defined maximum limit.
- A structured JSON payload is generated, providing a foundation for LLM-based categorization and summary generation.
X Timeline Digest Setup
Ensure the bird CLI is installed and authenticated via cookie login before using this skill in your Openclaw Skills environment.
# To run the raw digest generator
node skills/x-timeline-digest/digest.js
To generate an intelligent digest, pipe the output to a JSON file and use the provided PROMPT.md with your preferred LLM:
node skills/x-timeline-digest/digest.js > digest.json
X Timeline Digest Data Schema & Taxonomy
The skill maintains state to ensure incremental processing and provides a rich JSON output for downstream automation.
| Component | Description |
|---|---|
| window | Defines the start and end timestamps for the digest window. |
| counts | Metrics tracking fetched, deduped, and final items for transparency. |
| digestText | The synthesized summary content, often in Simplified Chinese. |
| items | Array of tweet objects containing author, text, URL, and source metadata. |
| statePath | Persistence file tracking lastRunAt and sentTweetIds to prevent duplication. |
X Timeline Digest Advanced Features
- Near-duplicate detection using text similarity algorithms to merge redundant news reports from different authors.
- Intelligent denoising that automatically strips out advertisements and low-engagement spam content.
- Modular LLM integration via a specialized prompt template for categorized summaries including AI, Tech, and Crypto.
- State-based persistence ensuring that no tweet is ever processed twice within a 30-day window.
- Designed for seamless interoperability with other Openclaw Skills for multi-agent notification and archival workflows.
SKILL.md
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