Embeddings

Vector embeddings and similarity

Showing 1225-1248 of 1814 skills
FortiumPartners

Smoke Test Critical Paths Skill

by FortiumPartners

Load: skills/smoke-test-critical-paths/REFERENCE.md (~10KB)

Embeddings 11 11mo ago
adaptationio

agent-memory-system

by adaptationio

Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory.

Auth 11 9mo ago
levy-n

deep-learning-core

by levy-n

Explains neural network fundamentals: the Three Pillars (Model, Loss, Optimizer), backpropagation, gradient descent variants (SGD, Adam), regularization (Dropout, BatchNorm), and MLP architecture design. Use when learning how neural networks work, debugging training issues, or when user asks about 'backpropagation', 'vanishing gradients', 'learning rate', 'loss function', 'overfitting', 'underfitting', 'activation functions', 'why isn\'t my model learning', 'gradient descent', 'Adam', 'Dropout', 'BatchNorm', 'autoencoder', 'denoising autoencoder', or 'latent space'.

Debugging 10 8mo ago
levy-n

ml-knowledge-index

by levy-n

Routes ML/DL questions to specialized skills. Use FIRST when unsure which skill applies, when user asks broad ML questions, or when multiple topics might be relevant. Maps: regression/classification → ml-fundamentals, ensembles/clustering → ml-advanced, TF-IDF/Word2Vec → nlp-classical, training/backprop → deep-learning-core, PyTorch → pytorch-mastery, CNNs/images → cnn-vision, LSTM/time-series → sequence-models, BERT/HuggingFace → transformers-llm, RAG/embeddings → rag-retrieval, APIs/PDF-parsing → data-pipeline, LoRA/QLoRA/PEFT → fine-tuning-peft, MLflow/W&B/Optuna → mlops-experiment, SHAP/Grad-CAM → model-interpretability, Q-learning/PPO/DQN → reinforcement-learning, GAN/VAE/diffusion → generative-models, explanations → ml-teaching-assistant.

Embeddings 10 8mo ago
phrazzld

changelog-setup

by phrazzld

Full changelog infrastructure from scratch. Greenfield workflow. Installs semantic-release, commitlint, GitHub Actions, LLM synthesis, public page.

Code Gen 10 8mo ago
eveld

before-file-search

by eveld

Use BEFORE running grep or glob commands. Reminds you to use codebase-locator agent instead of basic file search tools.

Auth 10 10mo ago
levy-n

nlp-classical

by levy-n

Implements traditional NLP techniques before transformers. Covers text vectorization (TF-IDF, Bag-of-Words), word embeddings (Word2Vec, FastText, GloVe, Doc2Vec), topic modeling (LDA, Gensim), and text similarity (Jaccard, Cosine, FuzzyWuzzy, record linkage). Use when building text classifiers without deep learning, doing topic extraction, entity matching, or when user mentions 'TF-IDF', 'Word2Vec', 'topic modeling', 'LDA', 'text similarity', 'n-grams', 'document clustering', 'GloVe', 'Doc2Vec', 'FuzzyWuzzy', or 'record linkage'.

Docs Gen 10 8mo ago
Kaakati

Accessibility Patterns

by Kaakati

WCAG 2.2 Level AA compliance patterns for Flutter applications including Semantics widgets, screen reader support, keyboard navigation, and color contrast requirements

Accessibility 10 9mo ago
phrazzld

changelog

by phrazzld

Complete changelog and release notes infrastructure. Audits current state, implements missing components, and verifies the release pipeline works end-to-end.

Embeddings 10 8mo ago
Demerzels-lab

email

by Demerzels-lab

Email management and automation. Send, read, search, and organize emails across multiple providers.

Email 10 8mo ago
iota9star

finding-files

by iota9star

Performs fast file discovery with parallel search and smart defaults. Use this skill when searching for files by name, pattern, or type, especially when performance matters or when working with large directories

Embeddings 10 10mo ago
TrevorS

GitHub Prior Art Research

by TrevorS

When asked implementation questions or tool selection questions like "how do

Embeddings 10 12mo ago
iota9star

analyzing-code-structure

by iota9star

Performs structural code search and refactoring by matching code structure instead of exact text. Use when editing code structure with text matching ambiguity, handling "old_string not unique" problems, or performing formatting-independent pattern matching across function signatures, method calls, and class structures

Embeddings 10 10mo ago
bdmorin

brave-search

by bdmorin

"Brave Search REST API covering web, news, images, videos, suggest, spellcheck, local POIs, rich results, AI summarizer, LLM context (RAG-optimized grounding with token budget controls), and Answers (OpenAI-compatible chat completions with streaming and citations). Triggers on any request for live web data, current events, recent news, image search, video search, or building search-augmented agent workflows. Requires BRAVE_SEARCH_API_KEY."

Embeddings 10 7mo ago
eveld

linear-issues

by eveld

Fetch and view Linear issues/tickets. List, search, read issue details, status, comments. Use when investigating tickets or gathering debugging context.

Embeddings 10 8mo ago
iota9star

searching-text

by iota9star

Performs fast text search with one-shot patterns that minimize iterations by getting files, lines, and context in a single call. Use this skill when searching for text patterns, finding specific code locations, or getting context around matches

Embeddings 10 10mo ago
TrevorS

glhf

by TrevorS

Search Claude Code conversation history to find past solutions, recall commands, and discover related work. Use when looking for previous implementations, finding commands you ran before, or exploring what was done in past sessions.

Embeddings 10 10mo ago
levy-n

rag-retrieval

by levy-n

Implements RAG (Retrieval-Augmented Generation) pipelines. Covers embedding APIs (OpenAI, Gemini, Sentence-Transformers), vector stores (FAISS, ChromaDB, Pinecone), RAG variants (Query Rewrite, Conversational, Multi-hop), and evaluation (RAGAS, Faithfulness). Use when building knowledge bases, semantic search, chatbots with documents, or when user mentions 'RAG', 'embeddings', 'vector store', 'FAISS', 'ChromaDB', 'similarity search', 'retrieval', 'chunking', 'hallucination reduction', 'semantic search', or 'knowledge base'.

Database 10 8mo ago
phrazzld

changelog-automation

by phrazzld

"Apply changelog automation and semantic versioning patterns using Changesets or semantic-release: conventional commits, automated version bumping, release notes generation. Use when setting up release workflows, discussing versioning, or implementing changelog automation."

Automation 10 8mo ago
founderjourney

firecrawl

by founderjourney

Web scraping, search, and data extraction using Firecrawl API. Use when users need to fetch web content, discover URLs on sites, search the web, or extract structured data from pages.

Embeddings 10 9mo ago
bdmorin

create-design-system

by bdmorin

You are an expert design systems architect.

Code Gen 10 7mo ago
iota9star

fuzzy-selecting

by iota9star

Provides interactive fuzzy finder for selecting items from any list with preview capabilities. Use this skill when choosing from search results, files, processes, or any command output

Embeddings 10 10mo ago
TrevorS

book-reader

by TrevorS

Read and search digital books (PDF, EPUB, MOBI, TXT). Use when answering questions about a book, finding quotes or passages, navigating to specific pages or chapters, or extracting information from documents.

Embeddings 10 9mo ago
igbuend

agent-review

by igbuend

Review AI agent implementations for best practices in architecture, folder structure, design patterns, error handling, and observability. Use when auditing agent codebases or designing new agent systems.

Agents 9 8mo ago