







Experiments and files related to creating skills for AI in Wikipedia work
Wikipedia:Artificial intelligence resources
This is a directory related to artificial intelligence (AI) in various administrative namespaces including; protocols, essays, collaboration groups, maintenance resources, discussions and news.
Wikipedia:WikiProject AI Cleanup
Welcome to WikiProject AI Cleanup, a collaboration to combat the increasing problem of poorly written AI-generated content on Wikipedia. If you would like to help, add yourself as a participant in the project, inquire on the talk page, and see the to-do list.
Jimmy Wales Says Wikipedia Could Use AI. Editors Call It the 'Antithesis of Wikipedia'
Wikipedia's founder said he used ChatGPT in the review process for an article and thought it could be helpful. Editors replied to point out it was full of mistakes.
How Wikipedia Will Survive in the Age of AI (With Wikipedia’s CTO Selena Deckelmann)
The Wikimedia Foundation’s chief technology and product officer explains how she helps manage one of the most visited sites in the world in the age of generative AI.

SkillMD.ai - Discover & Create Agent Skills
The open directory for agent skills. Discover, create, and share SKILL.md files for AI coding assistants.

Wikipedia:Signs of AI writing
This is a list of writing and formatting conventions typical of AI chatbots such as ChatGPT, with real examples taken from Wikipedia articles, drafts, comments, and other content. It is a field guide to help detect undisclosed AI-generated content on Wikipedia: while some of the signs may be broadly applicable, some may not apply in a non-Wikipedia context.[a] Not all text featuring these indicators is AI-generated, as the large language models that power AI chatbots are trained on human writing, including Wikipedia. Many elements of AI writing can be found in editorials, blogs, or fan fiction.
Google Search's guidance about AI-generated content | Google Search Central Blog | Google for Developers
In this post, we'll share more about how AI-generated content fits into our long-standing approach to show helpful content to people on Search.

Learning with AI falls short compared to old-fashioned web search
Doing the mental work of connecting the dots across multiple web queries appears to help people understand the material better compared to an AI summary.

Learning with AI falls short compared to old-fashioned web search
Doing the mental work of connecting the dots across multiple web queries appears to help people understand the material better compared to an AI summary.

Why LLM Wiki? 🧠 Future Of Knowledge For Agentic AI & Humans
Build an AI Second Brain(LLM Wiki Pattern) With Claude Code and Obsidian
TLDR:Build an AI-powered knowledge base in Obsidian. Use Claude Code slash commands to ingest, link, and query your notes into a smart…

AI Research Assistant Claude Scholar: Open Source, Free, and Citation-Verified | João Cláudio Nunes Carvalho posted on the topic | LinkedIn
🚨 Professors are going to hate this. Someone just open sourced an AI that writes research papers from idea to publication. Conference-ready. Citation-verified. Free. It's called Claude Scholar. An AI-powered research system that handles every step of the academic workflow. Idea to publication. Fully automated. No advisor at 2am. No staring at blank LaTeX files. No crying during rebuttal season. Here's what's inside this thing: → AI brainstorms research topics, reviews literature, and finds gaps nobody has explored → Runs statistical analysis on your experiments. t-tests, ANOVA, ablation studies. Publication-ready figures. → Writes your paper section by section. Abstract to conclusion. Conference-formatted. → Verifies every citation through multi-layer validation so AI never hallucinates a reference → Strips robotic AI language and adds human voice so reviewers can't tell → Self-reviews your draft with a 6-point quality checklist before you submit → Parses reviewer comments, classifies each one, and drafts your entire rebuttal Here's the wildest part: It supports NeurIPS, ICML, ICLR, ACL, AAAI, Nature, Science, Cell, and PNAS. Downloads the conference template, strips sample content, and gives you a clean LaTeX structure ready to write into. The creator says it covers 90% of the academic research lifecycle. Research assistants charge $30 to $60/hour. Conference paper consultants charge $5,000+. Graduate programs cost $50K/year. This is free. All of it. 100% Open Source.
Agent Skills Overview - Agent Skills
A standardized way to give AI agents new capabilities and expertise.
"AI" and Productivity
[I keep bringing these up on Bluesky, so I think it’s time to gather them up and make a post out of them.] This is a collection of articles...
Sure. AI companies have ALWAYS been training their models on Wikipedia content, which under the free and open access model is available to anyone — including AI companies. Agreements like these require AI companies to limit and offset the strain they place on Wikimedia infrastructure.
Club Announcement Spurs 🤦♂️
Hoping that @molly.wiki can help explain.
Jared Goering on Twitter / X

OpenWiki: Open Source Repo Documentation for Coding Agents

Wiki Memory

The Obsidian heads were right.

The Definitive Guide to Understand Anything: Turning Code and Knowledge Into Graphs That Teach

Karpathy's LLM Wiki as Agent Memory - Agentic AI Foundation (AAIF)