Spice.ai
SQL acceleration and applications
Skills for Spice.ai data acceleration, caching, queries, and application configuration.
Featured skills
acceleration
Accelerate data locally for sub-second query performance — the feature and its configuration.
accelerators
Choose and configure the right acceleration engine — Arrow, DuckDB, SQLite, Cayenne, PostgreSQL, or Turso.
cache
Configure Spice.ai in-memory result caching for SQL queries, search results, and embeddings.
chat
Chat with Spice models through spice chat, the OpenAI-compatible API, or client applications.
cloud
Used to manage Spice.ai Cloud resources through spice cloud, the Management API, and the management MCP server...
connectors
Configure individual data source connectors in Spice — PostgreSQL, MySQL, S3, Databricks, Snowflake, DuckDB, GitHub,...
cookbook
Set up and run recipes from the Spice.ai cookbook (github.com/spiceai/cookbook) — pick the recipe that fits what the...
datasets
Connect Spice to data sources and query across them with federated SQL — including datasets, catalogs, views, and...
models
Configure AI/LLM model providers and connections in Spice — OpenAI, Anthropic, Azure, Google, xAI, Bedrock, Databricks,...
sdk
Integrate applications with Spice using the official Python, JavaScript/TypeScript, Go, Rust, Java, or .NET SDK.
search
Used to search data using vector similarity, full-text keywords, or hybrid methods with Reciprocal Rank Fusion (RRF).
secrets
Configure secret stores in Spice — environment variables, Kubernetes, AWS Secrets Manager, Azure Key Vault, HashiCorp...
StackHawk, Inc.
Application security testing
Skills for StackHawk APIs, security reporting, and HawkScan workflows.
Steipete
Personal automation tools
Practical agent tools for everyday applications, research, and development.
Stripe
Payments infrastructure tools
Stripe skills for payments, integrations, upgrades, and AI commerce.