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概要と使いどころ
Auto-activate for Google ADK, LlmAgent, Runner, SQLSpecSessionService, google-genai, AgentRuntime, SpecTree, DynamicWorkflow, FunctionTool, or SSE agent chats. Not for offline ML training.
日本語の概要は準備中です。原文の説明を表示しています。
Fetch a URL and return clean markdown. Use when the agent needs an arbitrary external page (blog, RFC, GitHub issue, vendor doc) not covered by mk:docs-finder. Triggers on URLs in chat. Static-only by default; opt-in JS rendering available.
日本語の概要は準備中です。原文の説明を表示しています。
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".
日本語の概要は準備中です。原文の説明を表示しています。
Designs human-in-the-loop review points for DAG workflows. Determines what to present to the human, how to collect feedback, and how to route approve/reject/modify decisions back into the DAG. Use when adding approval gates, designing review UX, or handling human feedback in agent workflows. Activate on "human review", "approval gate", "human-in-the-loop", "human gate", "approval workflow", "user review step". NOT for executing human gates at runtime (use dag-runtime with Temporal signals), general UX design, or chatbot conversation design.
日本語の概要は準備中です。原文の説明を表示しています。
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
日本語の概要は準備中です。原文の説明を表示しています。
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
日本語の概要は準備中です。原文の説明を表示しています。
An infographic skill for AI agents — works inside Claude Code, Codex, Hermes, OpenClaw, Cursor, and any agent host that loads skills. Create professional infographics as self-contained HTML files with PNG exports. Use when the user asks to create, design, generate, build, or make an infographic, data visualization, visual explainer, chart poster, cheatsheet, or pocket guide. Trigger phrases include "make this visual", "turn this into a graphic", "visualize this data", "infographic for X", "cheatsheet for X", or when the user provides structured data (tokenomics allocations, ecosystem/partner lists, timelines, comparisons, step-by-step processes) AND asks for a visual output. Covers tokenomics, ecosystem overviews, game overviews, cheatsheets, airdrop guides, comparisons, and process flows. Do NOT trigger for plain text answers, markdown tables, bulleted summaries, questions asking for advice or explanations about a topic (even when the topic is tokenomics, ecosystem, vesting, etc.), inline chat diagrams, or data processing with no visual output requested. The signal is "asks for a visual", not "mentions a keyword".
日本語の概要は準備中です。原文の説明を表示しています。
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific problems with AI.
日本語の概要は準備中です。原文の説明を表示しています。
Rewrite AI-sounding prose so it reads as considered human writing — cut the tells (em-dash pile-ups, "it's not X, it's Y" antitheses, inflated vocabulary, uniform rhythm, empty uplift) while preserving every fact, claim, and the author's own voice. Use when the user says "make this not sound like AI", "de-AI this", "humanize/humanise this", "this reads like ChatGPT", "remove the AI tells", "it sounds robotic/generic", or shares a draft (post, email, essay, docs, cover letter) to sharpen into a more human voice. Ships a stdlib scanner that flags the mechanical tells.
日本語の概要は準備中です。原文の説明を表示しています。
Sends voice messages (audio) to Feishu chats using Duby TTS.
日本語の概要は準備中です。原文の説明を表示しています。
CLI download tools for YouTube and WeChat.
日本語の概要は準備中です。原文の説明を表示しています。
Use when: you need strict context boundaries in chat (Telegram/Discord/Slack/etc.) and want to prevent topic bleed.
日本語の概要は準備中です。原文の説明を表示しています。
Coordinate multi-agent work through durable artifacts in git instead of chat. Use this whenever a task involves sending a message to another agent, agent mailboxes or handoffs, claiming work from a shared queue, notifying another agent or crew (OpenClaw, Grok Bot, Claude Code, Codex, Gas Town/Gas City workers) that work is ready, or whenever the user mentions the artifact bus, message bus, agent mail, beads mail, doorbells, or pings between agents — even if they don't say "bus" explicitly.
日本語の概要は準備中です。原文の説明を表示しています。
No-op workflow for when the user says they duplicated the chat/session into another tab. Use when invoked as `$dupe` or when the user says this tab was duplicated and no action is needed.
日本語の概要は準備中です。原文の説明を表示しています。
Turn research, analysis, or any markdown the agent just produced into a live, beautifully designed web report with a shareable tracked URL via ReportRoom. Use when the user says "publish this", "make this shareable", "turn this into a report", "put this on a page", or wants findings to live beyond the chat. Not for recurring client deliverables (use client-reporter), slide decks (use deck-publisher), or proposals that need view alerts (use proposal-tracker).
日本語の概要は準備中です。原文の説明を表示しています。
Use when removing AI-writing tells from deliverable prose — posts, articles, drafts. Triggers on 'make this sound less like AI', 'humanize this draft', 'this reads like ChatGPT wrote it'.
日本語の概要は準備中です。原文の説明を表示しています。
Black-box evaluation of a shipped LLM feature — adversarial probes for hallucination, prompt-injection, and cost-runaway vs stated expectations. Not RAG/embedding. Triggers 'review my chatbot'.
日本語の概要は準備中です。原文の説明を表示しています。
Analisa seu histórico recente de chats do Claude Code para identificar padrões de codificação, lacunas no desenvolvimento e áreas para melhoria, seleciona recursos de aprendizagem relevantes do HackerNews e envia automaticamente um relatório de crescimento personalizado para suas DMs do Slack.
日本語の概要は準備中です。原文の説明を表示しています。
Framework RLHF de alta performance com aceleração Ray+vLLM. Use para treinamento PPO, GRPO, RLOO, DPO de modelos grandes (7B-70B+). Construído em Ray, vLLM, ZeRO-3. 2× mais rápido que DeepSpeedChat com arquitetura distribuída e compartilhamento de recursos GPU.
日本語の概要は準備中です。原文の説明を表示しています。
Especialista em construir produtos que envolvem APIs de IA (OpenAI, Anthropic, etc.) em ferramentas focadas pela qual as pessoas pagarão. Não apenas 'ChatGPT mas diferente' - produtos que resolvem problemas específicos com IA. Cobre engenharia de prompts para produtos, gestão de custos, rate limiting e construção de negócios de IA defensáveis. Use quando: wrapper de IA, produto GPT, ferramenta IA, envolver IA, IA SaaS.
日本語の概要は準備中です。原文の説明を表示しています。
Use quando o usuário pergunta como construir com produtos ou APIs da OpenAI e precisa de documentação oficial atualizada com citações (por exemplo: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, capacidades ou limites de modelos); priorize ferramentas MCP de docs da OpenAI e restrinja qualquer fallback de navegação a domínios oficiais da OpenAI.
日本語の概要は準備中です。原文の説明を表示しています。
Framework de pré-treinamento visão-linguagem que conecta codificadores de imagem congelados e LLMs. Use quando você precisar de legendagem de imagens, resposta a perguntas visuais, recuperação imagem-texto ou chat multimodal com desempenho zero-shot de última geração.
日本語の概要は準備中です。原文の説明を表示しています。