Fetch Llm Apps

Community

kimtth

fetch-llm-apps

Regenerate the ranked GitHub LLM applications pool (section/x_llm_apps.md) with fetch_llm_apps.py. USE FOR: refreshing the pool linked from applications.md. DO NOT USE FOR: hand-curating entries in applications.md or adding star badges to the generated file.

Overview

Publisher	kimtth
Repository	`azure-openai-llm-notes`
Skill name	`fetch-llm-apps`
Stars	409
Forks	62
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 kimtth on GitHub. Read the source before you install it.

Installation

Install the Fetch Llm Apps 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/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-apps
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/kimtth/azure-openai-llm-notes.git /tmp/azure-openai-llm-notes
mkdir -p .claude/skills
cp -r /tmp/azure-openai-llm-notes/.agent/skills/fetch-llm-apps .claude/skills/fetch-llm-apps

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

Use it in TypingMind

Enable Fetch Llm Apps 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 Fetch Llm Apps 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 Fetch Llm Apps 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.

section/x_llm_apps.md is generated by code/fetch_llm_apps.py from GitHub topic and phrase searches, deduplicated and sorted by stars. Phrase facets broaden discovery across AI engineering, applications, infrastructure, and learning resources. External catalogs may inform search vocabulary only; never copy their repository records into the generated file. applications.md only links to it. Never edit the generated file by hand or paste its entries elsewhere.

Search hits are candidates, not proof of relevance. The fetcher keeps repositories only when their name, description, or GitHub topics explicitly identify an AI/LLM, model, agent, or related application/tooling focus; generic lists and incidental mentions are filtered out.

Commands

powershell
.venv\Scripts\python.exe code/fetch_llm_apps.py                          # full refresh (min 1000 stars)
.venv\Scripts\python.exe code/fetch_llm_apps.py --token $env:GITHUB_TOKEN  # avoid rate limits
.venv\Scripts\python.exe code/fetch_llm_apps.py --append --topics llm agent  # add topics, keep current pool
.venv\Scripts\python.exe code/fetch_llm_apps.py --search-terms "agent memory" "AI coding agent"
.venv\Scripts\python.exe code/fetch_llm_apps.py --output files/x_llm_apps.json  # raw export (.json/.csv)

Other options: --min-stars, --topics, --include-archived, --show. Run with --help for the rest.

Notes

Entry format: 1. [owner/repo](url): Description. [Mon YYYY] (⭐ 12,345). Stars are static text; do not run add_github_stars.py on it.
The section title in applications.md says >= 1000. If you change --min-stars or narrow the topics, update that label and description.
Unauthenticated runs hit rate limits; use GITHUB_TOKEN.
Phrase searches across repository name, description, and README help find projects without useful topic tags; add --search-terms facets when coverage gaps appear.
Do not source or copy repository records from third-party catalogs; use their category vocabulary only to improve GitHub query facets.

Frequently asked questions

What does the Fetch Llm Apps AI skill do?

Why use Fetch Llm Apps on TypingMind?

Because you install it once and use it with any model. Fetch Llm Apps 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 Fetch Llm Apps in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-apps. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fetch Llm Apps?

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 Fetch Llm Apps?

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

Is the Fetch Llm Apps AI skill free?

It is published on GitHub by kimtth. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Commands

Notes

Frequently asked questions

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