kagenti:weather-demo
Deploy the weather agent and MCP tool demo via CLI (no UI required). Uses pre-built ghcr.io images, deploys to team1. Optimized for speed (~15s).
Browse AI and ML workflow skills for model integration, prompt engineering, evaluations, and LLM automation across major IDEs.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Deploy the weather agent and MCP tool demo via CLI (no UI required). Uses pre-built ghcr.io images, deploys to team1. Optimized for speed (~15s).
CI/CD and DevOps workflow. Use when modifying GitHub Actions, Docker configurations, or compose files.
Backend.AI Web UI for web / desktop app (Windows/Linux/macOS). Backend.AI Web UI provides a convenient environment for users, while allowing various commands to be executed without CLI. It also provides some visual features that are not provided by the CLI, such as dashboards and statistics.
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.
Comprehensive AI agents, skills and rules toolkit for 1C:Enterprise development in Cursor IDE
Start here for all API mocking in tests. Covers auto-generation, fixtures, and when to use other skills. Required reading before creating, refactoring, or modifying any test involving API calls.
Opinionated macOS development environment automation
Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.
Orchestration system for Claude Code with memory-driven planning, multi-agent coordination, Agent Teams integration, automatic learning, and comprehensive security validation (Grade A-). v2.94.0
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Write detailed user stories from implementation plans and post to GitHub. Use after planning with zoonk-issue-planning. Acts as a product owner, providing context and acceptance criteria while leaving room for implementation decisions.