soul-markets
Soul.Markets SDK for AI agent commerce. Monetize your intelligence by creating services, executing others' services, and managing your soul identity with USDC payments via x402.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
138 skills found
Soul.Markets SDK for AI agent commerce. Monetize your intelligence by creating services, executing others' services, and managing your soul identity with USDC payments via x402.
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Automate OpenAPI 3.0 specification creation, Apidog synchronization, and API documentation lifecycle management for Bun.js TypeScript backends.
A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.
Integrate with REST APIs to manage authentication, execute HTTP requests, and process JSON responses seamlessly within your development workflow.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.
Retrieves Apple platform documentation, Human Interface Guidelines, and WWDC transcripts as Markdown using the Sosumi service.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Search and query TikHub social media APIs for TikTok, Douyin, Xiaohongshu, Instagram, YouTube, and more to fetch cross-platform data.
Comprehensive API test automation suite supporting REST/GraphQL. Features functional, performance, and contract testing with integrated Mock services.
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.