AI & LLM Integration for Claude Code

When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software

When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, cod

Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows. Use when creating subagents for Cursor editor specifically, following Cursor's patterns and directories (.cursor/agents/). Triggers on "cursor subagent", "cursor agent". Do NOT use for generic subagent creation outside Cursor (use subagent-creator instead).

When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,' 'AI agents for GTM,' or 'revenue automation.' This skill covers technical GTM infrastructure from workflow design through agent orchestration. Do NOT use for technical implementati

When the user wants to create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools. Also use when the user mentions 'ad creative,' 'performance creative,' 'creative testing,' 'creative fatigue,' 'Meta ads,' 'Google ads,' 'TikTok ads,' 'AI ads,' 'ad budget,' 'ROAS,' 'Advantage+,' or 'Performance Max.' This skill covers AI-powered paid creative from generation through performance optimization. Do NOT use for technical implementation, co

When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit. Also use when the user mentions 'ICP,' 'ideal customer profile,' 'positioning,' 'PMF,' 'product-market fit,' 'messaging,' 'buyer persona,' 'enrichment signals,' 'market positioning,' or 'competitive positioning.' This skill covers market positioning, ICP definition, messaging architecture, and PMF validation for AI-native products. Do NOT use for techn

Expert guide for designing and building high-quality skills from scratch through structured conversation. Use when someone wants to create a new skill, build a skill, design a skill, or asks for help making Agents do something consistently. Also use when someone says "turn this into a skill", "I want to automate this workflow", "how do I teach my Agent to do X", or mentions creating SKILL.md files. Covers standalone skills and MCP-enhanced workflows. Do NOT use for creating subagents (use subage

Guide for creating AI subagents with isolated context for complex multi-step workflows. Use when users want to create a subagent, specialized agent, verifier, debugger, or orchestrator that requires isolated context and deep specialization. Works with any agent that supports subagent delegation. Triggers on "create subagent", "new agent", "specialized assistant", "create verifier". Do NOT use for Cursor-specific subagents (use cursor-subagent-creator instead).

Generative Engine Optimization (GEO) specialist — the technical, on-page publishing work that makes a given page or site discoverable, understandable, trustworthy, quotable, and fresh for AI answer engines (Google AI Overviews, ChatGPT Search, Bing Copilot, Perplexity). Use when asked to 'optimize this page/site for GEO', 'optimize for AI search / answer engines', 'get my page cited by ChatGPT/Perplexity', 'improve AI visibility/citability', 'write an llms.txt', 'add citation-ready structure or

Agent Skills Toolkit - 创建新 skills、改进现有 skills、运行评估测试和性能基准测试的完整工具集，包含增强版 skill-creator-pro 和快捷命令

Create a new Agent Skill from scratch with guided workflow

Create a new Agent Skill from scratch with guided workflow

Create a new Agent Skill from scratch with guided workflow

Improve and optimize an existing Agent Skill

Improve and optimize an existing Agent Skill, including content, workflow, and description triggering accuracy

Configure MCP (Model Context Protocol) servers for Claude Code. Manage MCP servers at user or project scope with best practices to avoid context pollution.

Optimize skill description for better triggering accuracy

Optimize skill description for better triggering accuracy

Create new skills, modify and improve existing skills, and measure skill performance. Enhanced version with quick commands. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy. Triggers on phrases like "make a skill", "create a new skill", "build a skill for", "improve this skill", "optimize my skill", "test my skill

Test and evaluate Agent Skill performance with benchmarks

Test and evaluate Agent Skill performance with benchmarks

Test and evaluate Agent Skill performance with benchmarks

Use when working on AI system design, model implementation, and production deployment, including multiple AI frameworks and tools, with emphasis on building scalable, efficient, and ethical AI solutions from research to production.

Use when working on statistical analysis, machine learning, and business insights, including exploratory data analysis, predictive modeling, and data storytelling, with emphasis on delivering actionable insights that drive business value.

Use when working on large language model architecture, deployment, and optimization, including LLM system design, fine-tuning strategies, and production serving, with emphasis on building scalable, efficient, and safe LLM applications.

Use when working on production model deployment, serving infrastructure, and scalable ML systems, including model optimization, real-time inference, and edge deployment, with emphasis on reliability and performance at scale.

Use when working on Model Context Protocol server and client development, including protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.

Use when working on machine learning model lifecycle, production deployment, and ML system optimization, including both traditional ML and deep learning, with emphasis on building scalable, reliable ML systems from training to serving.

Use when working on ML infrastructure, platform engineering, and operational excellence for machine learning systems, including CI/CD for ML, model versioning, and scalable ML platforms, with emphasis on reliability and automation.

Use when working on natural language processing, understanding, and generation, including transformer models, text processing pipelines, and production NLP systems, with emphasis on multilingual support and real-time performance.

Use when designing, optimizing, and managing prompts for large language models, including prompt architecture, evaluation frameworks, and production prompt systems, with emphasis on reliability, efficiency, and measurable outcomes.

Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyw

Deep-crawl any website from start URLs, return per-page LLM-ready text/markdown/HTML plus metadata (title, description, author, language, canonical URL, OG) and in-scope outbound links. Use when user mentions deep crawl website, recursive crawl, crawl a whole site, scrape entire website, scrape docs site, scrape documentation, scrape knowledge base, scrape blog, build RAG corpus, build vector database from website, knowledge base for chatbot, GPT knowledge files, llms.txt, sitemap crawl, BFS cra

X (Twitter) DM automated chat end-to-end Skill: scan DM inbox to identify pending-reply conversations, read message history, generate persona-based replies and send; also supports searching users and starting new conversations. Built-in E2E passcode unlock, DM permission filtering, and rate control. Use when user mentions X auto-reply DMs, Twitter DM automated chat, auto-handle unread DMs, reply to X private messages with persona, X DM outreach campaign, batch send DMs to Twitter users, auto-pro

AI가 쓴 한글 텍스트를 사람이 쓴 글처럼 윤문하는 오케스트레이터 스킬 + 서브에이전트 묶음 (Fast + strict).

Skill memory layer for Claude Code - auto-capture, learn, and reuse skills

Re-derive your knowledge system from first principles when structural drift accumulates. Analyzes dimension incoherence, vocabulary mismatch, boundary dissolution, and template divergence. Preserves all content while restructuring architecture.

Router that summons expert agents on demand, with persistent agent-tagged memory and a summon-gate. Your agents and memory live in the plugin data dir and survive updates.

> Create a new custom agent from scratch. Runs a 6-phase interview to understand purpose, capabilities, triggers, output format, and coordination rules, then generates the agent file. Triggers: EN: "create a new agent", "custom agent", "I need a new agent", "build an agent", "new crew member". IT: "crea un nuovo agente", "agente personalizzato", "nuovo membro del crew". FR: "créer un nouvel agent", "agent personnalisé". ES: "crear un nuevo agente", "agente personalizado". DE: "neuen Agenten erst

> Edit, update, or remove an existing custom agent. Shows current config and asks what to change. Also handles listing all custom agents. Triggers: EN: "edit my agent", "update agent", "remove agent", "delete agent", "list agents", "show my agents". IT: "modifica il mio agente", "aggiorna agente", "rimuovi agente", "lista agenti", "mostra i miei agenti". FR: "modifier mon agent", "supprimer agent", "lister les agents". ES: "editar mi agente", "eliminar agente", "listar agentes". DE: "Agenten bea