Fetch Llm Papers

Community

kimtth

fetch-llm-papers

Refresh the LLM landscape paper pool (section/x_llm_papers.md) with fetch_llm_papers.py. USE FOR: refreshing citation counts or expanding topic coverage. DO NOT USE FOR: hand-curated entries (use add-new-entry-from-temp-md) or best_practices.md citation counts (use update-cite-count).

Overview

Publisher	kimtth
Repository	`azure-openai-llm-notes`
Skill name	`fetch-llm-papers`
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 Papers 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-papers
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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-papers .claude/skills/fetch-llm-papers

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

Use it in TypingMind

Enable Fetch Llm Papers 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 Papers 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 Papers 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_papers.md is a generated list of CS papers with at least 150 citations, ranked by citation count via Semantic Scholar. models_research.md links to it. Do not edit it by hand.

Commands

powershell
# Routine refresh of existing papers (no search queries)
.venv\Scripts\python.exe code/fetch_llm_papers.py --refresh-existing --min-citations 150

# Full re-fetch of all topics (required after editing TOPICS)
.venv\Scripts\python.exe code/fetch_llm_papers.py --reset --min-citations 150 --top-n 50

# Resume after a 429 or [pause]: rerun WITHOUT --reset
.venv\Scripts\python.exe code/fetch_llm_papers.py --min-citations 150 --top-n 50

# Re-tag topics locally, no API calls
.venv\Scripts\python.exe code/fetch_llm_papers.py --annotate-existing --min-citations 150

# Only some topics (substring match)
.venv\Scripts\python.exe code/fetch_llm_papers.py --topics "PEFT" "Reasoning"

Set $env:S2_API_KEY if available. On rate limits, lower --batch-size or raise --request-delay. Run with --help for other options.

Topics

Defined in the TOPICS dict in code/fetch_llm_papers.py (topic label to list of search queries). Use 4-8 word descriptive phrases, avoid the word "survey", and pair broad terms with LLM-relevance words. After editing, run with --reset.

Notes

Entry format: N. [Title📑](url): Abstract sentence. [Mon YYYY] (Citations: N; Topics: A, B).
Progress is saved in section/x_llm_papers.checkpoint.json, deleted on success. Delete it manually if corrupted.
Never add a topic to completed_topics by hand after a failure.

Frequently asked questions

What does the Fetch Llm Papers AI skill do?

Why use Fetch Llm Papers on TypingMind?

Because you install it once and use it with any model. Fetch Llm Papers 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 Papers 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-papers. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fetch Llm Papers?

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 Papers?

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

Is the Fetch Llm Papers 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

Topics

Notes

Frequently asked questions

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