Representacions vectorials
Representacions vectorials i similitud
bitrefill-website
bitrefill
"Help users accomplish tasks on Bitrefill (bitrefill.com): browse and search gift cards, mobile top-ups, and eSIMs; get product and pricing info; buy and pay with crypto or card; redeem, activate, or use purchases. Use when the user mentions Bitrefill, gift cards, phone top-up, eSIM for travel, or paying with Bitcoin/Lightning for digital goods."
ast-grep
ast-grep
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
langchain
vamseeachanta
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
vault-semantic-search
allenhutchison
Search vault notes by meaning using semantic search (RAG). Activate this skill when users want to find notes by concept or topic rather than exact keywords, or when keyword search tools return poor results.
research
QuixiAI
How to research topics using web tools
twitter-research
QuixiAI
Search and analyze Twitter/X posts for trends, sentiment, and topic research
styling
EpicenterHQ
CSS and Tailwind styling guidelines. Use when writing styles, creating UI components, reviewing CSS/Tailwind code, or deciding on wrapper element structure.
qdrant
giuseppe-trisciuoglio
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
langchain4j-vector-stores-configuration
giuseppe-trisciuoglio
Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
ast-grep
Kayunangka
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
abstract-invariant-generator
ArabelaTso
Uses abstract interpretation to automatically infer loop invariants, function preconditions, and postconditions for formal verification. Generates invariants that capture program behavior and support correctness proofs in Dafny, Isabelle, Coq, and other verification systems. Use when adding formal specifications to code, generating verification conditions, inferring contracts for functions, or discovering loop invariants for proofs.
search
brightdata
Search Google via Bright Data SERP API. Returns structured JSON results with title, link, and description. Requires BRIGHTDATA_API_KEY and BRIGHTDATA_UNLOCKER_ZONE environment variables.
bio-similarity-searching
GPTomics
Performs molecular similarity searches using Tanimoto coefficient on fingerprints via RDKit. Finds structurally similar compounds using ECFP or MACCS keys and clusters molecules by structural similarity using Butina clustering. Use when finding analogs of a query compound or clustering chemical libraries.
bio-molecular-descriptors
GPTomics
Calculates molecular descriptors and fingerprints using RDKit. Computes Morgan fingerprints (ECFP), MACCS keys, Lipinski properties, QED drug-likeness, TPSA, and 3D conformer descriptors. Use when featurizing molecules for machine learning or filtering by drug-likeness criteria.
bio-virtual-screening
GPTomics
Performs structure-based virtual screening using AutoDock Vina 1.2 for molecular docking. Prepares receptor PDBQT files, generates ligand conformers, defines binding site boxes, and ranks compounds by predicted binding affinity. Use when screening chemical libraries against a protein structure to find potential binders.
bio-substructure-search
GPTomics
Searches molecular libraries for substructure matches using SMARTS patterns with RDKit. Filters compounds by pharmacophore features, functional groups, or scaffold matches with atom mapping. Use when finding compounds containing specific chemical moieties or filtering libraries by structural features.
bio-causal-genomics-fine-mapping
GPTomics
Identify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search. Computes posterior inclusion probabilities and credible sets to prioritize variants for functional follow-up. Use when narrowing GWAS association signals to candidate causal variants or building credible sets for functional validation.
tavily-best-practices
tavily-ai
"Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents."
search
tavily-ai
"Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code."
lookup
nweii
"Explain the meaning of selected text using surrounding context. Identifies unclear words, phrases, idioms, or colloquialisms and provides concise definitions with cultural context and usage notes."
periodic-rollup
nweii
"Roll up vault content into consolidated notes. History rollup: compile periodic note mentions of a project/topic into a Histories note. Periodic rollup: synthesize child note descriptions into a parent periodic note's description."
chunking-strategy
giuseppe-trisciuoglio
Provides optimal chunking strategies in RAG systems and document processing pipelines. Use when building retrieval-augmented generation systems, vector databases, or processing large documents that require breaking into semantically meaningful segments for embeddings and search.
microsoft-skill-creator
MicrosoftDocs
Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
openai-docs
boshu2
"Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains."