# Add Resource > Add new learning resources (books, articles, courses, papers) to the appropriate resources.md file. Use when user mentions adding, saving, or tracking learning materials. Use when this capability is needed. - Skill: `tomevault-io/add-resource` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/add-resource` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/add-resource/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/add-resource --- # Add Resource When the user wants to add a learning resource to their repository: ## Instructions 1. Determine which topic folder the resource belongs to: - foundations/ - Math, statistics, algorithms, systems - data-analytics/ - EDA, visualization, SQL, data wrangling, business analytics - machine-learning/ - Traditional ML, supervised/unsupervised learning - deep-learning/ - Neural networks, transformers, CNNs, etc. - ml-system-design/ - System design for ML applications - ai-engineering/ - LLMs, agents, RAG, prompt engineering - productionization/ - MLOps, deployment, monitoring - software-engineering/ - Best practices, design patterns - ai-productivity/ - AI-powered tools (ChatGPT, Claude, Cursor, Copilot, etc.) - interview-prep/ - Interview-specific materials 2. Read the current resources.md file in that folder 3. Add the resource in consistent format: ```markdown - [Title](link) - Author/Source - Brief description of what it covers ``` 4. Organize entries: - Group by type (Books, Articles, Courses, Papers, etc.) if multiple types exist - Within each type, maintain alphabetical order by title - If the file is empty, start with a simple list ## Examples ### Book ```markdown - [Designing Data-Intensive Applications](https://dataintensive.net/) - Martin Kleppmann - Deep dive into distributed systems, storage, and processing ``` ### Course ```markdown - [CS229: Machine Learning](https://cs229.stanford.edu/) - Stanford - Andrew Ng's classic ML course covering fundamentals ``` ### Article ```markdown - [Attention Is All You Need](https://arxiv.org/abs/1706.03762) - Vaswani et al. - Original transformer architecture paper ``` ## Edge Cases - If unclear which folder: Ask the user or suggest the most relevant one - If resource fits multiple topics: Add to primary topic and note cross-reference - If resources.md doesn't exist yet: Create it with proper header --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/whanyu1212) — claim your Tome and manage your conversions.