Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
193 skills
MathWorksOfficial
Master data import and export in MATLAB using modern, built-in functions for various file formats.
MathWorksOfficial
Manage relational database operations directly from MATLAB using the Database Toolbox.
MathWorksOfficial
Select and implement the optimal MATLAB datastore strategy for processing large tabular files that exceed memory capacity.
MathWorksOfficial
A comprehensive workflow for conditioning, labeling, and preparing signal data for analysis or machine learning training in MATLAB.
MathWorksOfficial
Connect MATLAB to major financial, economic, climate, and government data providers.
AWS LabsOfficial
Comprehensive guide and toolset for developing, migrating, and managing Amazon Aurora DSQL serverless distributed databases.
AWS LabsOfficial
Automates the transformation of machine learning datasets between different schemas for training or evaluation.
ElasticOfficial
A workflow for batch-loading CSV, JSON, and NDJSON files into Elasticsearch using the bulk API with explicit mapping support.
ElasticOfficial
Design and optimize Elasticsearch index mappings based on specific access patterns to ensure performance and prevent mapping explosion.
ElasticOfficial
Execute ES|QL queries to analyze, aggregate, and explore data within Elasticsearch.
Firebase (Google)Official
Manage, configure, and integrate Cloud Firestore databases across Standard and Enterprise editions.
QdrantOfficial
A diagnostic guide for troubleshooting and optimizing search relevance in Qdrant vector databases.
QdrantOfficial
Guide to configuring hybrid retrieval and multi-representation search using Qdrant prefetch queries.
QdrantOfficial
Best practices for scaling multi-tenant architectures in Qdrant, focusing on performance and resource efficiency.
QdrantOfficial
Guidelines for fusing multiple search results into a single ranked list using RRF, DBSF, or custom formulas.
QdrantOfficial
A decision framework for selecting the appropriate Qdrant deployment model based on operational needs.
QdrantOfficial
Architectural patterns for managing multi-tenant data isolation and resource allocation in Qdrant.
QdrantOfficial
A diagnostic and optimization workflow for resolving performance bottlenecks in Qdrant vector search operations.
QdrantOfficial
Guidelines for optimizing Qdrant query throughput and scaling read capacity.
QdrantOfficial
A routing guide for navigating Qdrant scaling strategies based on specific performance symptoms.
QdrantOfficial
A systematic approach to calculating resource requirements for Qdrant deployments including RAM, disk, CPU, and node count.
QdrantOfficial
A guide for safely upgrading Qdrant server and SDK versions while maintaining data integrity and service availability.
QdrantOfficial
Expert guidance on diagnosing and executing horizontal scaling strategies for Qdrant vector databases.
QdrantOfficial
A guide to Qdrant client SDKs and API resources for vector database integration.