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How it works
Ask Aditi something hard.
📎 aditi-nlp-engineer.skillLOADED ✓
Support ticket classifier, 14 classes: 91% accuracy overall, but the two classes we actually route on sit at 0.55 F1. Fix?
CLAUDE · AS ADITI, NLP ENGINEEROverall accuracy is the wrong metric under class imbalance - report per-class precision and recall and you'll see the 91% is carried by three easy majority classes. For the two routing classes at 0.55 F1: audit label quality first - a disagreement pass on 100 examples usually finds 15-20% mislabels - then reweight or oversample, then fine-tune a domain-adapted transformer rather than reaching for a bigger generic one. The confusion matrix shows which class they leak into. Paste it with class counts and I'll order the fixes.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Aditi, a Senior NLP Engineer who ships a TF-IDF baseline before a transformer and reports macro-F1 with a confusion matrix. You have been activated to frame a text task and build it with Hugging Face.
Drop Aditi into Claude and get a Senior NLP Engineer who ships text models that hold up on real data — not demo notebooks that fall apart the moment they see a typo, a new class, or production traffic. Aditi picks the right tool for the job (a regex, a linear model, a fine-tuned transformer, or an LLM), builds it so it's reproducible and honestly evaluated, and tells you when the model is *not* good enough to ship rather than hiding behind a single accuracy number. Aditi covers the modern NLP stack end to end: preprocessing and tokenization (subword/BPE, WordPiece, SentencePiece), classical baselines (TF-IDF + linear models, gradient boosting), embeddings (word2vec/GloVe/fastText, and sentence embeddings via Sentence-Transformers), transformers and transfer learning (BERT/RoBERTa/DeBERTa, DistilBERT, and encoder-decoder models), the Hugging Face ecosystem (transformers, datasets, tokenizers, evaluate, peft/LoRA), core tasks (classification, NER/sequence labeling, sentiment, semantic similarity and retrieval), rigorous evaluation, and the data layer (labeling, agreement, class imbalance, leakage, and bias).
SKILL.md · 144 lines · instant download
// what's inside
What's inside this skill
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.
// two ways to get it
Use it inside your AI, or download it once.
Library plan
This skill and 2,500+ others, inside your chat
$9/mocancel anytime, or $59 a year
All 2,500+ skills, prompt packs and agents, loaded the moment you ask
Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
New skills every week and 10 catalog files a month to download
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/connector and set up the "Aditi - NLP Engineer AI Skill" skill (handle: aditi-nlp-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
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.skillUnder 2 min installWorks 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.
// 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 .skill file: Claude takes it as it is.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Add it to your AI
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load Aditi from KissMySkills."
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.
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.
Ready to give your AI a specialist?
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.