rcode-zayd-ml
CommunityShip ML features with measurable rigor.
Data & Analytics#llm#rag#machine learning#feature engineering#data pipelines#model evaluation#arabic nlp
Authorhanzlahabib
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you design, train, evaluate, and deploy machine learning and LLM-powered features with clear baselines, real metrics, and practical tradeoff analysis.
Core Features & Use Cases
- Model Selection and Training: Start with simple baselines, then move to stronger models only when the data and evaluation justify it.
- Evaluation and Reporting: Compare accuracy, precision, recall, F1, latency, and cost so decisions are based on evidence rather than hype.
- RAG, Prompting, and Arabic NLP: Build retrieval systems, version-controlled prompts, and language-aware solutions for Arabic or mixed-language data.
- Use Case: If you need to classify documents, forecast churn, or add an AI feature to a product, this Skill structures the workflow from data review through validation and deployment planning.
Quick Start
Use the Zayd skill to analyze my dataset, establish a baseline, and produce a model evaluation plan with clear metrics and deployment considerations.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rcode-zayd-ml Download link: https://github.com/hanzlahabib/rcode/archive/main.zip#rcode-zayd-ml Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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