Agent Skills & Resources
Explore ready-to-run tooling schemas, mathematical packages, search templates, and content-loaders. These skills equip models with structured decision models, resolving mathematical inquiries, translating texts, or triggering visual generation.
Powerful data processing, aggregation, and visualization tools for agents.
Dynamic vector or photographic image creation via AI models.
A symbolic math resolution skill for complex calculus, algebra, and graphs.
Dynamic search query grounding with support for Google Search APIs.
A localized multilingual database and layout translation proxy tool.
Real-time regional weather diagnostics, storm radar maps, and forecasting.
// SKILLS VS RESOURCES DEFINITIONS
In the Model Context Protocol, integrations provide three primary features:
- Resources: Server-controlled file read buffers, database lists, or text layouts made available to the model as raw contextual prompt inserts.
- Prompts: Pre-composed text blocks, dialog structures, and diagnostic templates designed to ground chatbot directions.
- Tools: Actionable, client-authorized functions coordinates (such as writing database entries or sending Slack messages) that models trigger in direct JSON-RPC formats.