ai-ml-skills

27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.

191 stars

Best use case

ai-ml-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.

Teams using ai-ml-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ai-ml/SKILL.md --create-dirs "https://raw.githubusercontent.com/wentorai/research-plugins/main/skills/domains/ai-ml/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ai-ml/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ai-ml-skills Compares

Feature / Agentai-ml-skillsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# AI & Machine Learning — 27 Skills

Select the skill matching the user's need, then `read` its SKILL.md.

| Skill | Description |
|-------|-------------|
| [ai-agent-papers-guide](./ai-agent-papers-guide/SKILL.md) | Curated 2024-2026 AI agent research papers collection |
| [ai-model-benchmarking](./ai-model-benchmarking/SKILL.md) | Benchmark AI models across 60+ academic evaluation suites and metrics |
| [anomaly-detection-papers-guide](./anomaly-detection-papers-guide/SKILL.md) | Industrial anomaly detection methods and benchmark papers |
| [autonomous-agents-papers-guide](./autonomous-agents-papers-guide/SKILL.md) | Daily-updated collection of autonomous AI agent papers |
| [computer-vision-guide](./computer-vision-guide/SKILL.md) | Apply computer vision research methods, models, and evaluation tools |
| [deep-learning-papers-guide](./deep-learning-papers-guide/SKILL.md) | Annotated deep learning paper implementations with code walkthroughs |
| [dl-transformer-finetune](./dl-transformer-finetune/SKILL.md) | Build transformer fine-tuning plans for classification and generation |
| [domain-adaptation-papers-guide](./domain-adaptation-papers-guide/SKILL.md) | Comprehensive collection of domain adaptation research papers |
| [generative-ai-guide](./generative-ai-guide/SKILL.md) | Curated guide to generative AI covering LLMs and diffusion models |
| [graph-learning-papers-guide](./graph-learning-papers-guide/SKILL.md) | Conference papers on graph neural networks and graph learning |
| [huggingface-api](./huggingface-api/SKILL.md) | Search and discover ML models, datasets, and Spaces on Hugging Face |
| [huggingface-inference-guide](./huggingface-inference-guide/SKILL.md) | Run NLP and CV model inference via Hugging Face free-tier API |
| [keras-deep-learning](./keras-deep-learning/SKILL.md) | Build and debug deep learning models with Keras and TensorFlow backend |
| [kolmogorov-arnold-networks-guide](./kolmogorov-arnold-networks-guide/SKILL.md) | Papers and tutorials on KAN learnable activation networks |
| [llm-evaluation-guide](./llm-evaluation-guide/SKILL.md) | Evaluate and benchmark large language models for research applications |
| [llm-from-scratch-guide](./llm-from-scratch-guide/SKILL.md) | Build a ChatGPT-like LLM from scratch using PyTorch step by step |
| [ml-pipeline-guide](./ml-pipeline-guide/SKILL.md) | Build and deploy reproducible production ML pipelines for research |
| [nlp-toolkit-guide](./nlp-toolkit-guide/SKILL.md) | NLP analysis with perplexity scoring, burstiness, and entropy metrics |
| [npcpy-research-guide](./npcpy-research-guide/SKILL.md) | All-in-one Python library for NLP, agents, and knowledge graphs |
| [prompt-engineering-research](./prompt-engineering-research/SKILL.md) | Systematic prompt engineering methods for AI-assisted academic research workf... |
| [pytorch-guide](./pytorch-guide/SKILL.md) | Avoid common PyTorch mistakes and apply robust training patterns |
| [pytorch-lightning-guide](./pytorch-lightning-guide/SKILL.md) | PyTorch Lightning framework for scalable model training and research |
| [reinforcement-learning-guide](./reinforcement-learning-guide/SKILL.md) | Reinforcement learning fundamentals, algorithms, and research |
| [responsible-ai-guide](./responsible-ai-guide/SKILL.md) | Resources for trustworthy, fair, and ethical AI research |
| [tensorflow-guide](./tensorflow-guide/SKILL.md) | TensorFlow best practices for tf.function, GPU memory, and deployment |
| [transformer-architecture-guide](./transformer-architecture-guide/SKILL.md) | Guide to Transformer architectures for NLP and computer vision |
| [vmas-simulator-guide](./vmas-simulator-guide/SKILL.md) | Vectorized multi-agent reinforcement learning simulator |

Related Skills

polish-skills

191
from wentorai/research-plugins

9 editing & proofreading skills. Trigger: polishing drafts, academic tone, proofreading, translation. Design: style checkers and editing workflows for clear, concise academic English.

latex-skills

191
from wentorai/research-plugins

11 latex skills. Trigger: LaTeX typesetting, formatting papers, mathematical notation, Beamer. Design: template-based guides with package recommendations and compilation tips.

composition-skills

191
from wentorai/research-plugins

9 academic writing skills. Trigger: writing paper sections, structuring arguments, academic prose. Design: section-by-section guides (abstract, intro, methods, discussion) with templates.

citation-skills

191
from wentorai/research-plugins

22 citation management skills. Trigger: managing references, formatting citations, BibTeX, bibliographies. Design: reference manager integrations and citation style guides (APA, IEEE, etc.).

scraping-skills

191
from wentorai/research-plugins

6 web scraping & data collection skills. Trigger: collecting web data, finding datasets, API access for research. Design: ethical scraping methods with rate limiting and data quality checks.

ocr-translate-skills

191
from wentorai/research-plugins

7 ocr & translation skills. Trigger: scanning documents, recognizing formulas, translating academic papers. Design: specialized OCR (LaTeX, handwriting) and translation for scholarly content.

knowledge-graph-skills

191
from wentorai/research-plugins

9 knowledge graphs skills. Trigger: building knowledge graphs, connecting concepts, ontology design. Design: graph construction, traversal, and visualization for research knowledge.

document-skills

191
from wentorai/research-plugins

10 document processing skills. Trigger: extracting text from PDFs, parsing references, document Q&A. Design: parsing pipelines (GROBID, marker) and structured extraction tools.

diagram-skills

191
from wentorai/research-plugins

9 diagrams & visuals skills. Trigger: creating diagrams, flowcharts, architecture visuals, LaTeX drawings. Design: tool-specific guides (Mermaid, Excalidraw, TikZ) with academic conventions.

code-exec-skills

191
from wentorai/research-plugins

7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.

paper-review-skills

191
from wentorai/research-plugins

8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools.

methodology-skills

191
from wentorai/research-plugins

12 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches.