Natural language processing

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

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

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

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

curiositech/some_claude_skills

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 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

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

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

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

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

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

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

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

liangdabiao/claude-data-analysis-ultra-main

Add or verify a model's chat prompt rendering and tokenization in rust/sglang-processor so it matches SGLang's Python serving path exactly (same prompt text, same token ids).

sgl-project/sglang

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

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

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

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

microsoft/skills

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