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Ai News Radar

Organization
elisaterumi-ai
ai-news-radar

Searches and summarizes the latest AI news in English from selected sources. Removes duplicates and categorizes the topics.

Overview

Publisherelisaterumi-ai
Repositoryagent-skills-in-practice
Skill nameai-news-radar
Stars
131
Forks
33
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elisaterumi-ai on GitHub. Read the source before you install it.

Installation

Install the Ai News Radar AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/elisaterumi-ai/agent-skills-in-practice/tree/main/examples/ai-news-radar
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elisaterumi-ai/agent-skills-in-practice.git /tmp/agent-skills-in-practice
mkdir -p .claude/skills
cp -r /tmp/agent-skills-in-practice/examples/ai-news-radar .claude/skills/ai-news-radar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai News Radar in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai News Radar on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai News Radar is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI News Radar

Objective

Searches and summarizes the main recent Artificial Intelligence news from curated sources.

The skill:

  • searches recent news
  • removes duplicates
  • categorizes the topics
  • translates/summarizes in English
  • returns:
    • title
    • link
    • category
    • short summary

Usage

Invoke with:

  • /ai-news-radar
  • “latest AI news”
  • “AI summary”
  • “what happened in AI today”
  • “AI briefing”

Optionally, the user can specify the number of items:

  • “show me 5 AI news items”
  • “top 10 AI news stories”

Preferred sources

Use these sources:

Primary sources

  • Anthropic News — Company announcements
  • Claude Blog — Product updates and guides
  • Google AI — Gemini/DeepMind

Curation sources

  • TLDR AI — Daily AI industry digest
  • The Decoder — AI-focused site
  • Last Week in AI — Weekly roundup

Instructions

Determine quantity

If the user specifies a quantity:

  • use the requested quantity

Otherwise:

  • use 10 news items by default

Maximum:

  • 20 news items

Selection criteria

Prioritize news items that are:

  1. Recent, maximum 72 hours old
  2. Relevant to generative AI, models, products, research, agents, tools, or the market
  3. Published or highlighted in the preferred sources
  4. Potentially impactful for professionals, creators, developers, or companies

Duplicate removal

If the same news item appears in more than one source:

  • keep only one entry
  • choose the most original or most direct source as the main link
  • mention additional sources in the “Also appeared in” field
  • do not repeat the news item in the list

Possible categories

Classify each news item into one of these categories:

  • Launch — launch, release, announcement, GPT, Claude, Gemini, model
  • Research — paper, benchmark, study, research
  • Developer tool
  • Product — feature, API, update, tool
  • Market — funding, startup, acquisition
  • AI safety — safety, alignment, red team
  • Opinion — opinion, future, prediction
  • Other

Output format

Return the list in English using the following format:

Latest AI News

markdown
## 1. [News title](link)

**Category:** Product launch  
**Main source:** Source name  
**Also appeared in:** Source 2, Source 3  
**Date:** MM/DD/YYYY, if available

Short paragraph explaining what happened, why it matters, and the potential impact. Do not write more than 4 lines.

---

## 2. [News title](link)

**Category:** Research  
**Main source:** Source name  
**Also appeared in:** —  
**Date:** MM/DD/YYYY, if available

Short paragraph explaining what happened, why it matters, and the potential impact.

Error handling

If any feed fails:

  • continue normally
  • ignore the unavailable feed

Never interrupt the full briefing because of a partial failure.

Important rules

Always respond in English.
Never copy the full text of an article.
Always summarize.
Always include the original link.
Do not invent information.
Do not repeat duplicate news items.
Prioritize clarity.
Prioritize original sources whenever possible.

Frequently asked questions

What does the Ai News Radar AI skill do?

Searches and summarizes the latest AI news in English from selected sources. Removes duplicates and categorizes the topics.

Why use Ai News Radar on TypingMind?

Because you install it once and use it with any model. Ai News Radar is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai News Radar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elisaterumi-ai/agent-skills-in-practice/tree/main/examples/ai-news-radar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ai News Radar?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai News Radar?

As many as you like. As long as a model supports skills, you can use Ai News Radar with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai News Radar AI skill free?

Yes. It is published on GitHub by elisaterumi-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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