LLM & Agents

Develop AI agents, tools, and workflows with Mastra v1 Beta and Hono servers. This skill should be used when creating Mastra agents, defining tools with Zod schemas, building workflows with step data flow, setting up Hono API servers with Mastra adapters, or implementing agent networks. Keywords: mastra, hono, agent, tool, workflow, AI, LLM, typescript, API, MCP.

Creates, analyzes, updates, and optimizes prompts using Claude 4.5 best practices, guardrails, context management, and prompt engineering patterns. Use when user asks how to write effective prompts, explaining prompt engineering techniques, understanding Claude 4.5 best practices, describing prompt patterns and structures, creating new prompts, evaluating existing prompts for improvements, determining if current logic should be extracted to prompts, identifying outdated prompt techniques, optimizing context usage, implementing guardrails, or when user mentions "prompt engineering", "hallucinations", "context optimization", "prompt caching", "chain-of-thought", or asks if logic should become a prompt.

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.

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

Patterns frontend Next.js/React/shadcn/ui, complète DEV_AGENT avec best practices frontend

Use when integrating multiple LLM providers. Keep provider-specific code isolated behind a small interface.

Create new Claude Code Skills using Ruby as the control flow language. Use this skill when users want to author Skills with programmatic logic, conditionals, loops, and dynamic behavior using Ruby code. Ideal for Skills requiring IF/THEN conditionals, variable-driven control flow, dynamic file references, or complex multi-step workflows that benefit from a programming language over static markdown.

Brief description of what this Skill does and when to use it. This field is critical for Claude to discover when to invoke your skill.

Analyzes agent prompts and codebase for operational knowledge extraction opportunities. Identifies large knowledge blocks (migration workflows, framework patterns, operational procedures) suitable for Skills extraction. Use when refactoring agent prompts, reducing prompt bloat, or systematizing operational knowledge. Triggers on: agent prompt analysis, operational knowledge extraction, Skills creation opportunities, prompt optimization, knowledge consolidation.

Add Qdrant embedding support to v3 WordPress components for RAG chatbot. Implements component-level content chunking for searchable, structured embeddings. Use when adding embedding to new or existing v3 components.

Resources for conversational interviews to create learner profiles. Used by project-interviewer agent during /init.

Search local Claude Code documentation to answer implementation questions. Use when asked about Claude Code features, subagents, workflows, skills, hooks, MCP servers, plugins, settings, CLI options, headless mode, or any Claude Code capability.

Use when generating synthetic training data for multi-turn conversation fine-tuning. Triggers - have design artifacts ready, need to generate conversations, ready to assess quality. Requires finetune-design first.

Expert prompt engineer that transforms vague user requests into optimized, detailed prompts for AI coding agents. Focus is on efficiency - helping users get complete results in one go without follow-up prompts. Triggers on prompt enhancement, prompt optimization, or when refining instructions for AI agents.

Role assignment for Claude Agent

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

Design reusable prompt templates that encode domain-specific patterns for recurring AI development tasks.Use this skill when you've executed similar prompts 2+ times and need to capture the pattern as reusableintelligence. Transforms one-off prompts into parameterized templates that maintain quality while reducingcognitive load. Helps students move from Layer 2 (AI Collaboration) to Layer 3 (Intelligence Design) inthe 4-Layer Teaching Method.

Auto-invoke when reviewing test files or discussing testing strategy. Enforces testing pyramid, strategic coverage, and stack-appropriate frameworks.

Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.

Embedding model configurations and cost calculators