# Nlp Text Processing

> Process and analyze text data with NLP techniques. Use when building text classification, NER, sentiment analysis, or text preprocessing pipelines.

- **Type:** Skill
- **Install:** `agentstack add skill-ihatesea69-kiro-kit-nlp-text-processing`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ihatesea69](https://agentstack.voostack.com/s/ihatesea69)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ihatesea69](https://github.com/ihatesea69)
- **Source:** https://github.com/ihatesea69/kiro-kit/tree/main/.kiro/skills/nlp-text-processing
- **Website:** https://www.npmjs.com/package/kiro-kit

## Install

```sh
agentstack add skill-ihatesea69-kiro-kit-nlp-text-processing
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# NLP Text Processing

Activate this skill when working with text data and natural language processing.

## When to Use

- Text preprocessing and cleaning
- Building text classification models
- Named entity recognition (NER)
- Sentiment analysis pipelines
- Text embedding and similarity search
- Working with Hugging Face transformers

## Libraries

- **spaCy**: Production NLP pipelines
- **Hugging Face Transformers**: Pre-trained models
- **NLTK**: Classic NLP tools
- **sentence-transformers**: Text embeddings

## Patterns

```python
from transformers import pipeline

# Quick inference
classifier = pipeline("text-classification", model="distilbert-base-uncased")
result = classifier("This product is amazing!")

# Custom fine-tuning
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
```

## Rules

- Preprocess text consistently (lowercase, tokenize)
- Handle multilingual text explicitly
- Use pre-trained models before training from scratch
- Validate with human evaluation, not just metrics
- Consider computational cost of large language models

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ihatesea69](https://github.com/ihatesea69)
- **Source:** [ihatesea69/kiro-kit](https://github.com/ihatesea69/kiro-kit)
- **License:** MIT
- **Homepage:** https://www.npmjs.com/package/kiro-kit

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-ihatesea69-kiro-kit-nlp-text-processing
- Seller: https://agentstack.voostack.com/s/ihatesea69
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.