sage-mcp-protocol
Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.
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578 skills found
Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.
Control the Unity Editor via Claude Code to run tests, compile scripts, manage play mode, and retrieve console logs using a file-based bridge.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.
Architectural expert for the SpecKit template, managing Spec-Driven Development, design patterns, and microservices lifecycle automation.
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Integrate, fix, and debug Duit/flutter_duit backend-driven UI (BDUI) in Flutter applications. Supports remote/static layouts, custom components, transport managers, and lifecycle debugging.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
A comprehensive moderation toolkit for Civitai, providing automated user management, strike systems, image review, content regulation, and CSAM reporting via tRPC API.
Implement LlamaExtract for robust structured data extraction from PDF, DOCX, and PPTX files using Pydantic schemas.