---
name: add-resource
description: Add new learning resources (books, articles, courses, papers) to the appropriate resources.md file. Use when user mentions adding, saving, or tracking learning materials.
allowed-tools: Read, Edit, Glob
---

# 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


---
Source attribution: whanyu1212
Original project: https://github.com/whanyu1212/artifact-foundry/blob/bbdb51a009f9cf7c452f4024ebdc8a7ad7182fd2/.claude/skills/add-resource/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 Hanyu Wu

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: whanyu1212
Original project: https://github.com/whanyu1212/artifact-foundry/blob/bbdb51a009f9cf7c452f4024ebdc8a7ad7182fd2/.claude/skills/add-resource/SKILL.md
Attribution basis: Recovered original package and original project license at a pinned revision

Fields of work: Education & Research
Roles: Curriculum Designer, Researcher, Tutor / Instructor
Specialties: Cross Platform
Tools: Resources.Md
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 9699651a66a945f58e11b67d78562a8a6ab63dd2ab8fbef365d9a250c1564c69
Metadata reviewed: 2026-10-27
This metadata supersedes earlier Dave AI catalog attribution. Original instruction and supporting files are preserved.