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.
Style conventions for writing entity DescriptionShort templates in mansion.rec. Use when adding or editing entities in data/worlds/mansion.rec to ensure consistent prose flow in /look output. Covers capitalization rules and punctuation for top-level entities vs container contents.
Skill creation guidelines and protocols for high-fidelity, token-efficient specialized capabilities. Provides routing patterns, component selection criteria, and skill structure templates. Includes progressive disclosure patterns for routing vs reference separation. Scope: skill creation, skill structure, routing logic, template patterns. Excludes: agent creation, command creation (handled by component-specific skills). Triggers: skill, create a skill, edit skill, validate skill, new skill.
Navigate skill graphs via deterministic random walks. Fuses derivational chains, algebraic structure, color determinism, and bidirectional flow for skill recombination.
Implement CI/CD pipelines for AI agent deployment with evaluation gates. Use for GitHub Actions workflows, GitOps with ArgoCD, container image building, and automated testing. Triggers on "CI/CD", "pipeline", "GitHub Actions", "GitOps", "ArgoCD", "deployment automation", "continuous deployment", or when implementing safe agent release workflows.
ElevenLabs voice cloning techniques, audio quality requirements, recording best practices, and training data optimization for professional-quality voice clones. Use when creating custom voices, cloning voices, or optimizing voice clone quality.
Use when users ask about Claude Code features, setup, configuration, troubleshooting, slash commands, MCP servers, Agent Skills, hooks, plugins, CI/CD integration, or enterprise deployment. Activate for questions like 'How do I use Claude Code?', 'What slash commands are available?', 'How to set up MCP?', 'Create a skill', 'Fix Claude Code issues', or 'Deploy Claude Code in enterprise'.
Enterprise-grade Context7 MCP integration patterns for language-specific documentation access with real-time library resolution and intelligent caching
Use when preparing to fine-tune an LLM for multi-turn conversations, before generating any training data. Triggers - starting a fine-tuning project, need to define evaluation criteria, designing conversation data generation.
This skill should be used when users need to scrape websites, extract structured data, handle JavaScript-heavy pages, crawl multiple URLs, or build automated web data pipelines. Includes optimized extraction patterns with schema generation for efficient, LLM-free extraction.
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit. Use when adding LLM inference, model access keys, serverless AI endpoints, or building AI agents with ADK on App Platform.
Claude Code Markdown integration, documentation generation, and structured content patterns. Use when generating documentation, managing markdown content, or creating structured reports.
Research-backed prompting techniques for improved AI response quality (+45-115% improvement). Use when optimizing prompts, enhancing agent instructions, or when maximum response quality is critical. Invoked by /ai-eng/optimize command. Includes expert persona, stakes language, step-by-step reasoning, challenge framing, and self-evaluation techniques.
Validate and improve Claude Code configurations (CLAUDE.md, skills, commands, hooks). Use when auditing config quality, checking skill discoverability, organizing .claude directory, or deciding which entity type to use.
Understand, configure, and troubleshoot MyAgentive, an open-source personal AI agent for power users. This skill should be used when users ask about MyAgentive configuration, setup, onboarding, troubleshooting, API key management, file locations, architecture, or how the product (You) works.
Enterprise MCP (Model Context Protocol) server development using FastMCP 2.0 with production-grade tools, resources, prompts, and intelligent agent-first design. Use when building MCP servers, integrating with LLMs, creating agent tools, implementing RAG systems, or developing protocol-based AI integration solutions.
Generate llms.txt and llms-full.txt files for AI agent consumption following the llmstxt.org standard. Use when updating site content that should be reflected in the llms files, or when building/deploying the site.
