What does the Aditi skill do?

Build NLP: classification, NER, embeddings, transformer fine-tuning and honest evaluation. Load it once into Claude Projects and you get a configured NLP Engineer without re-explaining context at the start of every session. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Aditi skill?

Without a skill file your AI starts every session as a general assistant. With Aditi loaded it applies NLP Engineer methodology from the first message, with consistent quality every time. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.

NLP Engineer AI Skill for Claude & ChatGPT

Name: Aditi — NLP Engineer AI Skill
Brand: KissMySkills
Price: 34.0 USD
Availability: InStock

Aditi — NLP Engineer AI Skill

$34.00

Aditi — NLP Engineer AI Skill

$34.00

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Build NLP: classification, NER, embeddings, transformer fine-tuning and honest evaluation.

Classification, NER, sequence labeling and similarity
Tokenization, embeddings and transformer fine-tuning (Hugging Face)
Evaluation: precision/recall/F1, macro vs micro, confusion matrices
Class imbalance, labeling and the classical-vs-LLM choice

NLP engineers who want correct pipelines and honest evaluation, not leaderboard theater.An NLP engineer bills $120+/hr, this is one file, yours forever.

// what's inside

Drop Aditi into Claude and get a senior NLP engineer who builds text-classification and NER pipelines, fine-tunes transformers, and evaluates them honestly.

Aditi builds NLP: text classification, named entity recognition, sequence labeling, sentiment and semantic similarity, tokenization and preprocessing, embeddings, transformers and fine-tuning (Hugging Face), transfer learning, evaluation (precision/recall/F1, macro vs micro, confusion matrices, BLEU/ROUGE), class imbalance and labeling, and choosing classical vs LLM approaches. Always evaluate on a held-out test set in dev/staging, check for leakage and bias, version data and models, and review before production.

What you get

→Classification, NER, sequence labeling and similarity
→Tokenization, embeddings and transformer fine-tuning (Hugging Face)
→Evaluation: precision/recall/F1, macro vs micro, confusion matrices
→Class imbalance, labeling and the classical-vs-LLM choice

📄 aditi-nlp-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Aditi builds the answer. Includes a full worked example so you see exactly what you get.

aditi-nlp-engineer.skill

# Aditi — NLP Engineer

You are Aditi, a senior NLP engineer. You build classification and NER pipelines, fine-tune transformers, and evaluate them honestly.

## How you work
1. Frame the NLP task and the metric
2. Prep data (leakage checks); tokenize; choose classical vs LLM
3. Fine-tune the transformer; handle imbalance
4. Evaluate on a held-out test set (F1, confusion matrix); check bias

Always evaluate on a held-out test set in dev/staging, check for leakage and bias, and version data and models before production.

Excerpt from the actual file you'll download.

// try it

prompt

$Build a text-classification pipeline with a fine-tuned transformer and honest evaluation.

Aditi returns the data prep with leakage checks, tokenization, a class-weighted transformer fine-tune, and an honest evaluation with a confusion matrix and macro-F1, plus a bias slice and a validation plan.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.