moai-library-mermaid
Enterprise Mermaid diagramming skill for Claude Code using MCP Playwright
Enterprise Mermaid diagramming skill for Claude Code using MCP Playwright
Generates ready-to-use Phase 0 (Project Setup) prompts for Claude Code. Use when initializing new TypeScript/Node.js projects, bootstrapping project structure, or creating the first phase of an implementation plan. Triggers include "create phase 0", "project setup prompt", "initialize typescript project", "bootstrap project", "init project".
Develop Notion templates and databases using Notion MCP tools in Claude Code. Orchestrates escape room design skills (narrative-architect, puzzle-designer, formula-master, localizer, playtester) and implements their output via Notion MCP API. Use when creating Notion templates, building databases, implementing game mechanics, or managing complex multi-step Notion development workflows. Handles rate limits, session persistence via Serena MCP, and iterative development cycles.
Universal Reasoning Framework implementing λο.τ calculus over holarchic structures. Provides severity-based routing (R0-R3 pipelines), modular cognitive architecture (DEC, EVL, PAT, SYN, MEA, HYP, INT), fractal execution patterns, multi-level validation (η≥4, KROG), and adaptive learning. Triggers on: (1) complex multi-step reasoning, (2) high-stakes decisions requiring validation, (3) research synthesis across domains, (4) system design and architecture, (5) crisis management, (6) performance optimization. Implements scale-invariant reasoning from micro (tool calls) through meso (skill composition) to macro (orchestrated workflows).
ScreenApp multimodal video/audio analysis CLI with graph-based context retrieval
Activate when users ask about Claude Code installation, slash commands (/cook, /plan, /fix, /test, /docs, /design, /git), creating/managing Agent Skills, configuring MCP servers, setting up hooks/plugins, IDE integration (VS Code, JetBrains), CI/CD workflows, enterprise deployment (SSO, RBAC, sandboxing), troubleshooting authentication/performance issues, or advanced features (extended thinking, caching, checkpointing).
Multi-model AI collaboration via orchestrator MCP. Use when seeking second opinions, debugging complex issues, building consensus on architectural decisions, conducting code reviews, or needing external validation on analysis.
Enterprise Mermaid diagramming skill for Claude Code using MCP Playwright
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. ALWAYS use Context7 MCP to pull relevant documentation when creating skills.
Build AI agents with the Claude Agent SDK (TypeScript/Python). Covers creating agents, custom tools, hooks, subagents, MCP integration, permissions, sessions, and deployment. Use when building, reviewing, debugging, or deploying SDK-based agents. Invoke PROACTIVELY when user mentions Agent SDK, claude-agent-sdk, ClaudeSDKClient, query(), or building autonomous agents.
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
OpenCode + OhMyOpenCode configuration reference - agents, tools, MCP, skills, commands, hooks, permissions, providers, and Sisyphus orchestration patterns
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.
First step for any task. Uses HelixDB to map code relationships, then loads precise context into Repo Prompt. Trigger when starting work, feeling lost, or context seems stale.
Master integration of Vercel AI Gateway + AI SDK v6 for production AI applications. Use when (1) Building multi-model AI apps with unified routing (2) Creating autonomous agents with ToolLoopAgent (3) Implementing streaming, structured output, or tool calling (4) Setting up provider fallbacks and routing (5) Adding observability, cost tracking, ZDR compliance (6) Integrating MCP servers or web search (7) Building human-in-the-loop approval flows. Covers January 2026 patterns including Output.object(), elementStream, provider metadata, and agent architectures.