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.
533 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.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.
Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.
Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples.
Discover and install agent skills to extend your DeerFlow capabilities. Use this to find tools, workflows, or specialized knowledge for tasks like coding, testing, and deployment.
A comprehensive tool for managing PowerPoint presentations, supporting creation, editing, text extraction, template application, and visual analysis of .pptx files.
An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
An all-in-one Chinese daily utility toolkit: weather, currency exchange, news, and package tracking. Zero configuration, no API keys required.
Create, manage, and debug dlt (data load tool) pipelines for ingesting data from APIs, databases, and custom sources into destinations like DuckDB, BigQuery, and Snowflake.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Automatically fetch YouTube transcripts, generate structured content summaries, and deliver them to messaging platforms with metadata and key insights.
Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.