An automated AI tool that retrieves and summarizes the top 5 tech news stories of the day into a concise bullet-point briefing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install my-skill
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 my-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Daily Tech News Summarizer is a specialized automation tool designed to streamline your daily information intake. By integrating this into your repertoire of Openclaw Skills, you can bypass the noise of the internet and get a direct line to the most significant technology developments as they happen. It uses real-time web search and advanced linguistic models to ensure you receive a curated summary of current events without manual effort.
This skill is particularly valuable for developers, analysts, and tech enthusiasts who need to remain informed but have limited time. It transforms a broad search query into a refined, actionable summary that highlights the day's biggest breakthroughs, making it a staple for anyone looking to optimize their digital workflow using Openclaw Skills.
To enable this skill within your workspace, ensure your agent configuration is compatible with Openclaw Skills. You can add the skill definition by including the provided markdown logic in your agent's skill directory.
# Example of loading the skill into your local environment
openclaw skills install daily-tech-news
Ensure your agent has the necessary permissions to access the web_search and summarize tools.
The skill manages data through a simple but effective pipeline. Below is the metadata taxonomy used during the execution:
| Variable | Source | Description |
|---|---|---|
search_results |
Action: web_search | Contains the top 5 web results for the technology news query. |
summary |
Action: summarize | The bulleted synthesis of the search results generated by the LLM. |
message |
Action: respond | The final formatted string delivered to the user interface. |
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