TypingMindTypingMindThe best frontend for AI
Radar Ia Br logo

Radar Ia Br

Organization
elisaterumi-ai
radar-ia-br

Busca e resume as últimas notícias de IA em português a partir de fontes selecionadas. Remove duplicatas e categoriza os tópicos.

Overview

Publisherelisaterumi-ai
Repositoryagent-skills-in-practice
Skill nameradar-ia-br
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 Radar Ia Br 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/radar-ia-br
  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/radar-ia-br .claude/skills/radar-ia-br
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Radar Ia Br 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 Radar Ia Br 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 Radar Ia Br 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.

Radar Notícias IA BR

Objetivo

Busca e resume as principais notícias recentes de Inteligência Artificial a partir de fontes curadas.

A skill:

  • busca notícias recentes
  • remove duplicatas
  • categoriza os tópicos
  • traduz/resume em português
  • retorna:
    • título
    • link
    • categoria
    • resumo curto

Uso

Invoke com:

  • /radar-ia-br
  • "últimas notícias de IA"
  • "resumo IA"
  • "o que aconteceu em IA hoje"
  • "AI briefing"

Opcionalmente o usuário pode informar quantidade:

  • "me mostre 5 notícias de IA"
  • "top 10 notícias de IA"

Fontes preferenciais

Use estas fontes:

Fontes primárias

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

Fontes de curadoria

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

Instruções

Determinar quantidade

Se o usuário informar quantidade:

  • usar quantidade solicitada

Caso contrário:

  • usar 10 notícias por padrão

Máximo:

  • 20 notícias

Critérios de seleção

Priorize notícias:

  1. Recentes (,ax 72 horas)
  2. Relevantes para IA generativa, modelos, produtos, pesquisa, agentes, ferramentas ou mercado
  3. Publicadas ou destacadas nas fontes
  4. Com impacto potencial para profissionais, criadores, desenvolvedores ou empresas

Remoção de duplicadas

Se a mesma notícia aparecer em mais de uma fonte:

  • mantenha apenas uma entrada
  • escolha como link principal a fonte mais original ou mais direta
  • mencione fontes adicionais no campo “Também apareceu em”
  • não repita a notícia na lista

Categorias possíveis

Classifique cada notícia em uma destas categorias:

  • Lançamento (launch, release, announce, GPT, Claude, Gemini, model)
  • Pesquisa (paper, benchmark, study, research)
  • Ferramenta para desenvolvedores
  • Produto (feature, API, update, tool)
  • Mercado (funding, startup, acquisition)
  • Segurança em IA (safety, alignment, red team)
  • Opinião (opinion, future, prediction)
  • Outros

Formato de saída

Retorne a lista em português no seguinte formato:

markdown
# Últimas notícias de IA

## 1. [Título da notícia](link)

**Categoria:** Lançamento de produto  
**Fonte principal:** Nome da fonte  
**Também apareceu em:** Fonte 2, Fonte 3  
**Data:** DD/MM/AAAA, se disponível

Resumo em um parágrafo curto explicando o que aconteceu, por que importa e qual é o impacto potencial. Não escreva mais de 4 linhas.

## 2. [Título da notícia](link)

**Categoria:** Pesquisa  
**Fonte principal:** Nome da fonte  
**Também apareceu em:** —  
**Data:** DD/MM/AAAA, se disponível

Resumo em um parágrafo curto explicando o que aconteceu, por que importa e qual é o impacto potencial.

Tratamento de erros

Se algum feed falhar:

continuar normalmente ignorar feed indisponível

Nunca interromper o briefing completo por falha parcial.

Regras importantes

Sempre responder em português brasileiro Nunca copiar texto integral do artigo Sempre resumir Sempre incluir link original Não inventar informações Não repetir notícias duplicadas Priorizar clareza Priorizar fontes originais quando possível

Frequently asked questions

What does the Radar Ia Br AI skill do?

Busca e resume as últimas notícias de IA em português a partir de fontes selecionadas. Remove duplicatas e categoriza os tópicos.

Why use Radar Ia Br on TypingMind?

Because you install it once and use it with any model. Radar Ia Br 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 Radar Ia Br in TypingMind?

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

Which AI models can use Radar Ia Br?

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 Radar Ia Br?

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

Is the Radar Ia Br 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.

Related AI Skills

View all
nexu-io logo

Html Ppt Zhangzara Scatterbrain

nexu-io
OrganizationPopular

A design-school graduation project: a civic wayfinding system for a transit hub — the brief, the process, and the outcome. Built as a decision-grade coursework defense deck for crit panel, faculty.

11.2K
96.7K
2 files
View
paperclipai logo

Create Agent Adapter

paperclipai
OrganizationPopular

Create or modify Paperclip agent adapters across server, UI, and CLI surfaces. Use when adding support for a new CLI agent, API agent, custom process, or adapter package.

16.2K
95.4K
Instructions
View
paperclipai logo

Create Paperclip Bundled Skill

paperclipai
OrganizationPopular

Turn an idea, tweet, or task into a skill in the Paperclip skills catalog (packages/skills-catalog). Use when asked to FIND or MAKE a skill and publish it as a bundled/optional catalog skill: research…

16.2K
95.4K
2 files
View
openclaw logo

Tavily

openclaw
OrganizationPopular

Tavily web search, content extraction, and research tools.

82.2K
391K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇