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Read Rss Aggregator

Community
SpaceZephyr
read-rss-aggregator

Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.

Overview

PublisherSpaceZephyr
Repositoryread-buddy
Skill nameread-rss-aggregator
Stars
85
Forks
25
Bundled files
5
Links
  • 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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by SpaceZephyr on GitHub. Read the source before you install it.

Installation

Install the Read Rss Aggregator 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/SpaceZephyr/read-buddy/tree/main/read-rss-aggregator
  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/SpaceZephyr/read-buddy.git /tmp/read-buddy
mkdir -p .claude/skills
cp -r /tmp/read-buddy/read-rss-aggregator .claude/skills/read-rss-aggregator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Read Rss Aggregator 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 Read Rss Aggregator 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 Read Rss Aggregator 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.

RSS Aggregator

This skill fetches and aggregates the latest updates from a curated list of RSS feeds defined in references/feeds.opml.

Usage

When the user asks for updates (e.g., "recent updates", "last 3 days", "what's new"), use the scripts/aggregate.py script.

Command

bash
uv run --with feedparser scripts/aggregate.py --days <number_of_days>

If the user doesn't specify a timeframe, default to 3 days.

Output

The script outputs a list of updates in the following format:

  • Title
  • Author
  • Summary (~500 words, extracted from feed content)
  • Update Time
  • Link

Configuration

The list of feeds is stored in references/feeds.opml.

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 Read Rss Aggregator AI skill do?

Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.

Why use Read Rss Aggregator on TypingMind?

Because you install it once and use it with any model. Read Rss Aggregator 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 Read Rss Aggregator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpaceZephyr/read-buddy/tree/main/read-rss-aggregator. 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 Read Rss Aggregator?

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 Read Rss Aggregator?

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

Is the Read Rss Aggregator AI skill free?

It is published on GitHub by SpaceZephyr. Check the repository for licensing terms. 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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