layer-05-tech
Expert knowledge for Technology Layer modeling in Documentation Robotics
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Expert knowledge for Technology Layer modeling in Documentation Robotics
Expert knowledge for UX Layer modeling in Documentation Robotics
Expert knowledge for Navigation Layer modeling in Documentation Robotics
Expert knowledge for Application Layer modeling in Documentation Robotics
Expert knowledge for Business Layer modeling in Documentation Robotics
Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
AI image generation using Google Gemini (Gemini) and OpenAI GPT-Image. Generate, edit, iterate, and create assets.
AI video generation using Google Veo or OpenAI Sora. Use when user wants to generate, create, or make videos from text prompts.
实现基于视觉的 AI 对话能力,支持分析图像、描述视觉内容并进行多模态交互。
Meta-skill for generating new standard skill modules. Context-aware: analyzes user requirements to select appropriate templates (Basic/Generator/Data) and automatically populates metadata (name, tags, descripti...
设计 AI 架构,编写 Prompt,构建 RAG 系统和 LangChain 应用
实现 AI 图像生成能力,支持根据文本描述创建高质量图像。
Collaborative strategic thinking for founders, operators, and decision-makers. Use when someone needs help working through business strategy, product direction, positioning, prioritization, or major decisions....
Creates production-grade Claude Code skills from natural language descriptions. Use when building new skills, requested with "build me a skill that...", "create a skill for...", or "I need a skill to...". Gener...
Brutal content editor that tears apart drafts for substance, readability, and voice alignment. Use when reviewing blog posts, articles, or marketing copy. Triggers include "review this draft", "edit my post", "...
Connection skill for Folk CRM MCP server. Provides guidance on ID handling, tool selection, and error recovery for AI assistants interacting with Folk CRM.
検索増強生成(RAG)Skill。知識ベースへのドキュメント追加、意味検索、LLM 回答生成をサポート。 ドキュメント Q&A、社内知識検索、カスタム知識ベース構築に使用。
マルチターン対話管理 Skill。会話履歴管理、コンテキスト維持、Agent 連携、RAG 統合をサポート。 チャットボット構築、対話型アシスタント、カスタマーサポートボットに使用。
本質分析Agent - 問題の本質を見抜き、因果齿轮で構造化し、死穴(禁忌)を明らかにする
LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.
LangGraph Python framework for building stateful, multi-actor LLM applications. Use for agent workflows, persistence, durable execution, streaming, interrupts, time travel, memory, subgraphs, and production dep...
Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for...
LangChain Python framework for building LLM applications. Use for chains, agents, memory, document loaders, text splitters, vector stores, retrievers, and LLM integrations like OpenAI, Anthropic, and Google.
fal.aiスキルに新しいモデルを追加するためのスキル
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