Trendradar

Community

makabakaxy

trendradar

Monitor trending news, analyze topics, aggregate cross-platform content, and send notifications via CLI. Use when user needs to get latest news, search trends, analyze sentiment, compare periods, or generate reports.

Overview

Publisher	makabakaxy
Repository	`mcp2cli`
Skill name	`trendradar`
Stars	66
Forks	5
Bundled files	10
License	MIT
Links	Skill source Repository

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.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by makabakaxy on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/makabakaxy/mcp2cli/tree/main/presets/trendradar/1.16.0/skills
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.

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/makabakaxy/mcp2cli.git /tmp/mcp2cli
mkdir -p .claude/skills
cp -r /tmp/mcp2cli/presets/trendradar/1.16.0/skills .claude/skills/trendradar

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trendradar 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 Trendradar 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 Trendradar 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.

trendradar (via mcp2cli)

Monitor trending news and analyze cross-platform content via CLI.

Shortcuts

No shortcuts configured. Use full form: mcp2cli trendradar <group> <cmd>

Commands

News

Command	Description	Example	Ref
`mcp2cli trendradar news get`	Get latest crawled news	`mcp2cli trendradar news get --platforms zhihu weibo --limit 50`	ref
`mcp2cli trendradar news search`	Search news (keyword/fuzzy/entity)	`mcp2cli trendradar news search --query 'AI'mcp2cli trendradar news search --query '特斯拉' --include-rss true`	ref
`mcp2cli trendradar news by-date`	Get news by date range	`mcp2cli trendradar news by-date --date-range '{"start":"2025-01-01","end":"2025-01-07"}'`	ref
`mcp2cli trendradar news find-related`	Find related news by title	`mcp2cli trendradar news find-related --reference-title '特斯拉降价'`	ref
`mcp2cli trendradar news aggregate`	Cross-platform dedup aggregation		ref
`mcp2cli trendradar trending list`	List trending topics by frequency	`mcp2cli trendradar trending list --top-n 20 --extract-mode auto_extract`	ref

Analyze

Command	Description	Example	Ref
`mcp2cli trendradar analyze trend`	Analyze topic trend/lifecycle/viral	`mcp2cli trendradar analyze trend --topic 'AI' --analysis-type trendmcp2cli trendradar analyze trend --topic '特斯拉' --analysis-type lifecycle`	ref
`mcp2cli trendradar analyze sentiment`	Analyze sentiment and heat trends	`mcp2cli trendradar analyze sentiment --topic 'AI'`	ref
`mcp2cli trendradar analyze insights`	Data insights across platforms	`mcp2cli trendradar analyze insights --insight-type platform_compare --topic '人工智能'`	ref
`mcp2cli trendradar analyze compare`	Compare two time periods	`mcp2cli trendradar analyze compare --period1 last_week --period2 this_week`	ref

Report & Article

Command	Description	Example	Ref
`mcp2cli trendradar report generate`	Generate daily/weekly summary report	`mcp2cli trendradar report generate --report-type daily`	ref
`mcp2cli trendradar article read`	Read article URL as Markdown	`mcp2cli trendradar article read --url 'https://example.com/news/123'`	ref
`mcp2cli trendradar article batch-read`	Batch read multiple article URLs		ref

RSS

Command	Description	Example	Ref
`mcp2cli trendradar rss list`	Get latest RSS subscription data	`mcp2cli trendradar rss list --days 7 --feeds hacker-news 36kr`	ref
`mcp2cli trendradar rss search`	Search RSS by keyword	`mcp2cli trendradar rss search --keyword 'machine learning' --days 14`	ref

Notification & Utils

Command	Description	Example	Ref
`mcp2cli trendradar notification send`	Send to configured channels	`mcp2cli trendradar notification send --message '测试' --channels feishu dingtalk`	ref
`mcp2cli trendradar date resolve`	Resolve natural language date expression	`mcp2cli trendradar date resolve --expression '本周'`	ref
`mcp2cli trendradar system status`	Get system health status		ref
`mcp2cli trendradar storage sync`	Sync data from remote storage	`mcp2cli trendradar storage sync --days 30`	ref

Discover Parameters

Append --help to any command for full parameter list:


mcp2cli trendradar news search --help

Note: Use Ref links above to view detailed parameters and examples.

User Notes

MUST READ users/skill.md for custom workflows and tips. Config: MCP server settings live in ~/.agents/mcp2cli/servers.yaml - edit there to take effect.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Trendradar AI skill do?

Why use Trendradar on TypingMind?

Because you install it once and use it with any model. Trendradar 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 Trendradar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/makabakaxy/mcp2cli/tree/main/presets/trendradar/1.16.0/skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Trendradar?

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 Trendradar?

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

Is the Trendradar AI skill free?

Yes. It is published on GitHub by makabakaxy under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

trendradar (via mcp2cli)

Shortcuts

Commands

News

Analyze

Report & Article

RSS

Notification & Utils

Discover Parameters

User Notes

Bundled files

Frequently asked questions

Related AI Skills

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