AI Agent Skills

Convert your data to Markdown files you can use in Obsidian. Works with Apple Notes, OneNote, Evernote, Notion, Google Keep, and many other formats.

AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx…

Cross-CLI skill for Obsidian: turn your vault into a living AI-first second brain across Claude Code, Codex, Gemini, and OpenCode. 43 commands - now with /obsidian-archi…

Build your personal knowledge base with Trilium Notes

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

Sketch and take handwritten notes.

Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.

DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.

A free, open-source developer workspace. Snippets, notes, HTTP requests, calculations, and dev tools in one local-first app.

Text editor - Notes & ToDo (for Android) - Markdown, todo.txt, plaintext, math, ..

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Communit…

A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-…

Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search.…

Build a complete Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, figure legends, or reading notes. Use for journal club, gro…

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG