Best natural language processing skills for Claude Code, Codex and other agents.

Helps write and debug JavaScript or TypeScript that uses the compromise English NLP library for matching, entity extraction, tagging and sentence transforms.

spencermountain/compromise

Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity…

AgriciDaniel/claude-blog

Guide for writing correct code with the compromise rule-based NLP library: tagging, match syntax, in-place transforms and common tasks like tense changes and redaction.

spencermountain/compromise

Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML).

Spark-To-Paper-Skills/paperjury

Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.

Orchestra-Research/AI-Research-SKILLs

Fills in a model card for an OpenMed clinical NER or de-identification model from its evaluation reports: intended use, metrics, subgroups and limitations.

maziyarpanahi/openmed

Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework.

dpearson2699/swift-ios-skills

Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems.

ModelCloud/GPTQModel

Suggests candidate ICD-10-CM diagnosis and ICD-10-PCS procedure codes for clinical text extracted by OpenMed, with rationale for a certified coder to review.

maziyarpanahi/openmed

Global-installable, project-level academic rebuttal strategy skill for AI/ML/CV/NLP/Robotics papers.

xiongqi123123/awesome-rebuttal

Drive native macOS apps via interceptor macos : AX trees, background click/type/keys/drag/scroll, occluded or minimized window capture, browser chrome, URL bars, OS dialogs, Apple Events, trusted OS…

Hacker-Valley-Media/Interceptor

Search 2500+ curated ChatGPT and LLM open-source repositories.

taishi-i/awesome-ChatGPT-repositories

Maps OpenMed-extracted, terminology-coded conditions, drugs and measurements into OMOP CDM v5.4 tables for OHDSI and ATLAS analytics.

maziyarpanahi/openmed

Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols.

curiositech/some_claude_skills

End-to-end Stellar development playbook. An agent skill from VelaPayments/vela-payments.

VelaPayments/vela-payments

Direct access to Google's own SEO data via Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, GA4 organic…

seranking/seo-skills

Finds social risks such as housing instability or food insecurity in clinical notes and proposes matching ICD-10-CM Z-codes for a coder to confirm.

maziyarpanahi/openmed

Applies the mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs).

K-Dense-AI/mimeo

Analyze text content using both traditional NLP and LLM-enhanced methods.

liangdabiao/claude-data-analysis-ultra-main

Analyze the token length of an OT-Agent conversation-format (ShareGPT-style) dataset — the per-trace distribution (median/p90/max) and/or counts under a token threshold + a metadata predicate (e.g.

open-thoughts/OpenThoughts-Agent

This skill should be used when the user asks to "learn from Kaggle", "study Kaggle solutions", "analyze Kaggle competitions", or mentions Kaggle competition URLs.

Galaxy-Dawn/claude-scholar

Compare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as…

taishi-i/awesome-japanese-nlp-resources

Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text.

Orchestra-Research/AI-Research-SKILLs

Trains and uses SentencePiece tokenizers on raw text, with BPE or Unigram models, for multilingual and CJK projects that need a reproducible vocabulary.

Orchestra-Research/AI-Research-SKILLs

Analyze current trends and challenges in Japanese NLP for a topic.

taishi-i/awesome-japanese-nlp-resources

學術研究實驗設計技能——從研究假設到可重現實驗計畫的完整流程。當使用者需要規劃實驗、設計 ablation study、選擇 baseline、確定評估指標，或問「我應該跑哪些實驗」時，一定要使用此技能。觸發詞包括：實驗設計、experiment design、ablation、baseline、跑什麼實驗、evaluation metric、如何驗證方法。適用於機器學習、NLP、CV…

voidful/academic-skills

Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets.

davila7/claude-code-templates

Uses the Deepgram Python SDK's Read API to analyze text for sentiment, summaries, topics and intents with client.read.v1.text.analyze, from raw text or a hosted URL.

deepgram/deepgram-python-sdk

Consolidates BERTopic, LDA or NMF topic output into a theory-driven classification framework and writes the final labels back to an Excel file.

TyrealQ/q-skills

Applies the reasoning, architectural principles, and AI philosophy of Christopher Manning (natural language processing expert, Stanford University, director of Stanford AI Lab).

K-Dense-AI/mimeo

Expert developer for Calcpad.Highlighter - tokenization, linting, content resolution, and language tooling.

imartincei/CalcpadCE

Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face).

taishi-i/awesome-japanese-nlp-resources

Add or modify a Lizard language reader. An agent skill from terryyin/lizard.

terryyin/lizard

Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed…

taishi-i/awesome-japanese-nlp-resources

Runs pre-trained Hugging Face models in JavaScript or TypeScript with Transformers.js, in browsers or Node.js, Bun and Deno, for text, vision, audio and multimodal tasks.

huggingface/skills

나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다.

team-attention/stanford-cs146s-kr

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP.

microsoft/skills

Scores news, announcements and macro events with the LLM, stores them in an event CSV and blends the decaying event signal with technical signals in signal_engine.py.

HKUDS/Vibe-Trading

Build, inspect, prepare, generate and export Overmind datasets in Data Workshop.

overmind-core/overmind

Supports Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and…

K-Dense-AI/scientific-agent-skills

Query the PHEE pharmacovigilance event extraction dataset. An agent skill from QSong-github/DrugClaw.

QSong-github/DrugClaw

Score an OpenMed clinical or biomedical NER model against a user-supplied gold corpus with entity-level precision, recall, and F1, then break errors down per label.

maziyarpanahi/openmed

Combine OpenMed clinical NLP with Microsoft Presidio, spaCy, or LangChain through OpenMed's built-in interop adapter registry (openmed.interop).

maziyarpanahi/openmed

Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation.

maziyarpanahi/openmed

Authors computable phenotype and cohort definitions in the OHDSI ATLAS / CIRCE style over the OMOP CDM, combining standard concept sets with NLP-derived features that OpenMed extracts.

maziyarpanahi/openmed

Run clinical and biomedical named-entity recognition on medical text with OpenMed's analyzetext.

maziyarpanahi/openmed

Replace detected PHI with realistic, type-matched fake values in OpenMed so clinical notes stay readable and parseable instead of full of [REDACTED] markers.

maziyarpanahi/openmed

Extract arbitrary, custom entity types from clinical or biomedical text with no fine-tuning using OpenMed's GLiNER / GLiNER2 zero-shot support.

maziyarpanahi/openmed