·nlp-engineer

Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. Use when building NLP pipelines, text analysis, or LLM-powered features. Triggers include "NLP", "text classification", "NER", "named entity", "sentiment analysis", "spaCy", "Hugging Face", "transformers".

47Installs·1Trend·@404kidwiz

Installation

$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill nlp-engineer

SKILL.md

Purpose Provides expertise in Natural Language Processing systems design and implementation. Specializes in text classification, named entity recognition, sentiment analysis, and integrating modern LLMs using frameworks like Hugging Face, spaCy, and LangChain.

| Training from scratch | Wastes data and compute | Fine-tune pretrained | | No preprocessing | Noisy inputs hurt performance | Clean and normalize text | | Wrong metrics | Misleading evaluation | Task-appropriate metrics | | Ignoring class imbalance | Biased predictions | Balance or weight classes |

| Overfitting to eval set | Poor generalization | Proper train/val/test splits |

Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. Use when building NLP pipelines, text analysis, or LLM-powered features. Triggers include "NLP", "text classification", "NER", "named entity", "sentiment analysis", "spaCy", "Hugging Face", "transformers". Source: 404kidwiz/claude-supercode-skills.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill nlp-engineer
Category
""Writing
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is nlp-engineer?

Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. Use when building NLP pipelines, text analysis, or LLM-powered features. Triggers include "NLP", "text classification", "NER", "named entity", "sentiment analysis", "spaCy", "Hugging Face", "transformers". Source: 404kidwiz/claude-supercode-skills.

How do I install nlp-engineer?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill nlp-engineer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/404kidwiz/claude-supercode-skills