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Universal learning system that extracts insights from conversations and updates project memory files (CLAUDE.md, AGENTS.md, .cursorrules, etc.) with LLM-friendly documentation. Works across all AI coding assist...
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Universal learning system that extracts insights from conversations and updates project memory files (CLAUDE.md, AGENTS.md, .cursorrules, etc.) with LLM-friendly documentation. Works across all AI coding assist...
Interact with OpenAI Codex CLI for plan review, code review, and complex problem discussion. Supports model selection and multi-round conversations. Usage: /codex-cli [options]
This is an example skill demonstrating the correct SKILL.md format. Use this as a reference when users want to learn how to create skills. Contains all required and recommended sections.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from s...
Analyzes your recent Claude chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized gr...
Эксперт conversational AI. Используй для chatbot flows, dialog design, NLU intents и conversational UX.
Эксперт demand generation. Используй для стратегий генерации спроса, lead scoring, кампаний и funnel optimization.
Эксперт по API reference документации. Используй для создания справочников по API, описания endpoints и примеров запросов.
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
AI агент для ABM. Используй для автоматизации ABM кампаний и персонализации outreach.
Эксперт по статус-отчётам. Используй для создания шаблонов отчётов, executive summaries и project dashboards.
Эксперт ML API. Используй для model serving, inference endpoints, FastAPI и ML deployment.
Deep memory retrieval across sessions and projects. Activate when user says "yesterday", "last week", "remember when", "what did we discuss", "we worked on X before", "bring context from [project]", or asks abo...
Analyze response quality and learn from it. Activate after completing complex tasks, when the user provides feedback on your response, when you could have done something better, or when you want to improve patt...
Capture user preferences as permanent directives. Activate when the user says "always", "never", "I prefer", "I like", "don't", "avoid", expresses a coding style preference, states a workflow requirement, or co...
Create structured plans for complex tasks. Activate when the user asks to implement a feature, build something with multiple steps, needs a project roadmap, or when a task has 3 or more distinct steps. This ski...
Build multi-step LLM agents for the Continuum system. Use when creating agent definitions with nodes, edges, tools, and execution flows. Triggers on requests to "create an agent", "build a workflow", "design an...
Analyze Langfuse trace JSON exports using jq queries. Use when user provides a Langfuse trace file (.json) for analysis, debugging agent behavior, checking token usage, or investigating tool calls. Triggers on...
Expert prompt engineering for Claude 4.x models (Sonnet 4.5, Opus 4.5, Haiku 4.5). Use when creating system prompts, optimizing existing prompts, designing agentic workflows, or improving prompt effectiveness....
AI 에이전트를 위한 고품질 프롬프트를 생성하는 스킬. 스킬/에이전트/MCP 서버/일반 코딩 작업을 위한 프롬프트를 한국어로 생성. 사용자가 "프롬프트 만들어줘", "프롬프트 생성", "프롬프팅 해줘", "~를 위한 프롬프트", "~...
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 하는 고품질 MCP(Model Context Protocol) 서버 생성 가이드. Python(FastMCP)이나 Node/TypeScript(MCP SDK)로 외부 API나 서비스를 통합하는 MCP 서버를 구축...
효과적인 스킬 생성 가이드. 사용자가 Claude의 기능을 전문 지식, 워크플로우, 도구 통합으로 확장하는 새 스킬을 만들거나 기존 스킬을 업데이트하려 할 때 사용한다.
Claude Code용 커스텀 서브에이전트 생성. .claude/agents 또는 ~/.claude/agents에 새 에이전트를 생성, 추가, 구성하려 할 때 사용한다. "에이전트 만들어줘", "에이전트 생성", "서브에이전트 추가", "~를 위한 에이전트 만...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.