tools
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
170 skills found
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
Seamlessly toggle between live and mocked external dependencies using the Model Context Protocol (MCP) for autonomous development environments.
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Build stateful AI agents on Cloudflare Workers using the Agents SDK. Features real-time WebSockets, persistent state management, scheduled background tasks, and native tool integration for production-ready deployments.
Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.
Comprehensive SEO and GEO optimization suite. Use to analyze domains, find keyword gaps, research backlinks, and generate autocomplete search suggestions using DataForSEO.
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Expand seed keywords into comprehensive lists and cluster them by intent and topic to optimize your pillar content strategy.
A command-line interface for X/Twitter that allows for reading, searching, posting, and social engagement using cookie-based authentication, integrated into the OpenWhale AI agent ecosystem.
Integrate Snowflake with MCP clients. Manage Snowflake endpoints, validate connectivity, and leverage Cortex AI (Search, Analyst, Agent) services directly within your AI workflow.
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.