NLP

Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMsto interact with external services through well-designed tools. Use when building MCPservers to integrate external APIs or services, whether in Python (FastMCP) orNode/TypeScript (MCP SDK). Covers tool design, authentication, Docker deployment,and evaluation creation. NOT when consuming existing MCP servers (use the server directly).

Real-time voice AI knowledge including STT and TTS providers, LiveKit Agents plugins, and voice pipeline patterns. Use when working with speech-to-text, text-to-speech, voice agents, LiveKit, or any voice-related infrastructure.

Decision memory and session logging for AI-assisted development. Use when tracking architectural decisions, maintaining context across sessions, implementing confidence protocols, or coordinating between agents. Triggers on "memory trail", "decision memory", "track decisions", "session logging", "why did we decide", "check past decisions".

Provides idiomatic Go programming expertise and best practices. Ensures clean, efficient, and maintainable code following official Go conventions. Specializes in concurrent programming patterns, interface design, error handling strategies, and performance optimization. Masters standard library usage and ecosystem integration.Use when: writing Go code (.go files), designing interfaces and struct types, implementing concurrent patterns (goroutines/channels), handling errors idiomatically, writing table-driven tests, creating Go modules, optimizing performance-critical code, managing dependencies with go.mod, implementing HTTP servers and clients, working with context propagation, or designing package APIs for public libraries.

Generate game assets using AI image generation APIs (DALL-E, Replicate, fal.ai) and prepare them for Godot. Covers the full art pipeline from concept art and style guides to final sprites, sprite sheets, and import configuration. This skill should be used when creating game art, generating sprites, making tilesets, creating UI elements, or preparing assets for Godot import. Keywords: game assets, AI art, DALL-E, Replicate, fal.ai, sprite sheet, tileset, Godot, pixel art, character sprite, game art, texture, animation frames.

Optimize CTA copy, hero sections, and button text for higher conversions using therapy-appropriate frameworks (PAS, AIDA, BAB). Maintains empathetic, non-salesy tone while driving action. Creates A/B test variations, scores conversion potential, and ensures CRPO compliance. Use when user mentions "CTA", "conversion rate", "improve button text", "more bookings", or asks about improving page performance.

Prepare executable plans for future CIPS sessions while current session has context. Use when current session has tokens remaining but task suits fresh context.

Ability to analyse, design, optimise, and improve systems that integrate people, processes, technology, and resources to meet defined performance, quality, cost, and safety requirements. Includes applying engineering, statistical, and systems methods to model workflows, identify inefficiencies, evaluate trade-offs, and implement improvements across operations and supply chains. Applies across manufacturing, services, logistics, healthcare, and infrastructure contexts and is independent of specific tools or industries, with human accountability retained for decisions, outcomes, and impacts.

Manage user signup/signin and collect software/hardware background to enable personalized content in the Physical AI & Humanoid Robotics textbook.

Load methodology context for creating or fixing Claude Code instruction artifacts (discovery: implementation-clarity). Evaluate at implementation-clarity when artifact type is known (command, skill, hook, protocol, external tool config) and implementation approach needs methodology guidance.

Create Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.

Performs intelligent compliance audits for software projects. Automatically detects which regulatory frameworks (GDPR, HIPAA, PCI-DSS, CCPA, SOC 2) apply based on project analysis and user context. Provides tiered reports with executive summaries and detailed technical findings. Use when the user asks about compliance, regulatory requirements, security standards, data protection, or wants to audit their codebase for legal/regulatory adherence.

Practical workflows, context engineering strategies, and real-world execution examples for MoAI-ADK. Use when learning workflow patterns, optimizing context management, debugging issues, or implementing features end-to-end.

Proper delegation patterns for Task() invocations with governance context injection

Generate images using AI models via OpenRouter API. Supports text-to-image and image-based generation with customizable aspect ratios. Use when the user asks to generate, create, or synthesize images based on text descriptions or reference images.

Analyze any text content including meeting notes, emails, book excerpts, or generic text files. Use when the user wants to analyze content that doesn't fit YouTube, article, or paper categories, or mentions notes, documents, or generic analysis.

Guide for creating high-quality MCP (Model Context Protocol) servers in Rust using rmcp SDK. Use when building production-grade MCP servers with type safety, performance, and async support.

⚡ PRIMARY TOOL for semantic code search AND structural analysis. NEW: AST tree navigation with map, symbol, callers, callees, context commands. PageRank ranking. ANTI-PATTERNS: Reading files without mapping, Grep for 'how does X work', Modifying without caller analysis.

Enhanced Just-In-Time document loading system that intelligently discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific documentation, when working with new technologies, when answering domain-specific questions, or when context indicates documentation gaps.

Removes common AI-generated text patterns that make writing obviously machine-produced. Use when: (1) Writing or editing any text content, (2) User requests human-sounding or natural writing, (3) User wants to avoid AI slop or AI tells, (4) Creating content that shouldn't read as AI-generated. Apply automatically when generating prose, articles, emails, or creative content.Invoke with: /humanise-text, /humanize-text, /check-ai-patterns, or say "use the ai-text-humaniser skill to..."