tzurot-council-mcp
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
524 skills found
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Manage AWS Lambda serverless functions: deploy code, configure event triggers, debug invocations, optimize cold starts, and maintain layers.
Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.
Structured AI-guided research and market validation for new app ideas. Automates competitor analysis, technical feasibility, and MVP scoping.
AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.
Maintains a detailed, step-by-step implementation diary for coding sessions with docmgr integration to track changes, rationale, commands, and failures.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Get started with WebF development: setup WebF Go, initialize Vite-based web projects (React/Vue/Svelte), and preview apps in a W3C-compliant native runtime.
Standardized Java development guidelines including naming conventions, exception handling, Spring Boot best practices, and concurrency patterns.
Python bindings (dartpy) for DART physics simulation: build wheels, generate type stubs, and manage robotics simulation workflows using nanobind and C++ integration.
Generates standardized metadata, including git/jj version info and timestamps, for research docs, handoffs, and implementation plans.
Comprehensive guide and implementation framework for building, configuring, and deploying NexAU agents from scratch, including tools, prompts, and skills.