LLM & Agents
6763 skills in Data & AI > LLM & Agents
taxasge-frontend-dev
Patterns frontend Next.js/React/shadcn/ui, complète DEV_AGENT avec best practices frontend
providers
Use when integrating multiple LLM providers. Keep provider-specific code isolated behind a small interface.
ruby-skill-creator
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.
your-skill-name
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.
code-extraction
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-embedding-support
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.
project-interview
Resources for conversational interviews to create learner profiles. Used by project-interviewer agent during /init.
claude-code-docs-search
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.
finetune-generate
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.
prompt-engineer
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.
validation-api-engineer-role
Role assignment for Claude Agent
brainstorming
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
prompt-template-designer
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.
testing-fundamentals
Auto-invoke when reviewing test files or discussing testing strategy. Enforces testing pyramid, strategic coverage, and stack-appropriate frameworks.
langchain-agents
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-models
Embedding model configurations and cost calculators
markdown-optimizer
Optimize markdown files for LLM consumption by adding YAML front-matter with metadata and TOC, normalizing heading hierarchy, removing noise and redundancy, converting verbose prose to structured formats, and identifying opportunities for Mermaid diagrams. Use when preparing technical documentation, notes, research, or knowledge base content for use as LLM reference material or in prompts.
legal-ops
Multi-faceted legal operations - generate formal court-ready contracts (senior attorney level) OR simplified explanatory versions. Extends Claude Code beyond coding to professional legal document generation.
workflow-creation
This skill should be used when the user asks to "create a workflow", "make a slash command", "add a command", "automate a task with a command", "workflow vs plugin", "should this be a workflow or plugin", or needs guidance on Claude Code command structure, workflow design patterns, or determining appropriate scope for automation requests.
configure-claude-code
Applies personalized Claude Code settings. Use when setting up Claude Code preferences on a new machine.