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概要と使いどころ
Create AI-powered podcasts with text-to-speech, music, and audio editing. Tools: Kokoro TTS, DIA TTS, Chatterbox, AI music generation, media merger. Capabilities: multi-voice conversations, background music, intro/outro, full episodes. Use for: podcast production, audiobooks, voice content...
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 Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or imple...
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。
Draft or refine the project's PRD from the description and conversation
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。
Search and analyze your own session logs (older/parent conversations) using jq.
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。
Visual expression system for AI personas with emotion-based face switching. Use at session start to display the expression UI, and switch expressions whenever the emotional state changes during conversation.
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。
Explicit-only request to restate the previous explanation plainly in the current conversation language while preserving facts and uncertainty.
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。
Prose final-pass editor for GitHub issue bodies, pull request bodies, release notes, README/docs changes, public comments, and user-facing explanations. Use when Codex drafts or revises substantial prose that will be published or committed, especially when the user asks to polish, de-slop, make it less AI-written, improve a PR/issue body, or prepare docs text; do not use for ordinary code implementation, debugging transcripts, logs, quoted text, command output, API names, or Chinese conversational replies unless explicitly requested.
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。
Analyze email threads to extract current status, pending actions, timeline of events, and identify stale/outdated information. Use when asked to summarize email conversations, find outstanding action items in email chains, or detect when a thread summary is out of date.
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。
Compile up to five durable insights from the current conversation for possible addition to CLAUDE.md. Use before clearing context, when asked to remember lessons, or when the user wants project conventions and preferences preserved.
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 AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
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。
Recall past work across Claude Code and Codex sessions. Finds decisions, research, fixes, and conversations by intent; with only a project and no question, orients on that project's recent state.
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。
Coach German writing and conversation with minimal corrections, persistent root-cause mistake tracking (FehlerDNA), mistake-based spaced repetition with a new sentence every time, roleplay whose words return in spaced reviews, continuing preparation for real-life goals across sessions, and an honest progress profile. Use for German correction, personalized review, vocabulary, progress, roleplay, or preparation for an interview, presentation, appointment, or other concrete event; do not use for translation-only requests without learning or feedback.
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。
Full-text keyword search across every conversation at once (Telegram, Facebook, ChatGPT, Claude, notes, transcripts) over a local BM25/FTS5 catalog: instant, zero tokens, with snippets and chat-title hits. The exact-words lane, complementary to semantic search. Triggers: "/search <words>", "where did I write about <X>".
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。
Find a past decision, document, or conversation in Screenpipe with source links.
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。
Synthesize repeated themes from selected research conversations or notes.
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。
Pull Anton's Grok (grok.com / SuperGrok) conversation history into the Obsidian vault from an official Grok data export (prod-grok-backend.json). Trigger on “/grok-sync“, “синкани grok“, “подтяни grok“, “забери чаты из grok“, “обнови grok“, “sync grok“, “что нового в grok в волт“
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。
Drive the current task to a verified result instead of stopping at a plausible report. Use when the user says /continue, keep going, not done yet, push further, or is unhappy with the result. Rebuilds requirements from the conversation, re-checks real state, fixes root causes, verifies from the consumer side, offloads side quests.
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。
Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai chats".
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。
Workspace project (IDE + collaborator + starter files). Use when the project is technical and benefits from collaborator support layered between coding tasks. Not for soft-skill conversation or role-play practice; use generate-project with scene_actor roles for those.
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 the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the series and log the break; the ECHO O3 rule) — plus a sentiment-weighted SOV variant (sentiment labeled Estimated unless human-coded) and a Wikipedia-pageviews attention-share alternative; built from keyless listening connectors, gdelt.py news echo, and user exports — public counts only, closed platforms are never scraped. Not for backlink or offsite SEO signals — use offsite-signal-analyzer. 声量份额/竞品声量对比/提及份额/注意力份额
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。
Audit Reddit Ads measurement, campaign structure, community and interest targeting, creative-native fit, catalog advertising, budgets, brand safety, and reporting. Use for Reddit Ads, promoted posts, conversation ads, community targeting, Reddit Pixel, Reddit Conversions API, or Reddit dynamic product ads.
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。
Generative UI (GenUI) for Flutter using AI models like Google Gemini, Anthropic Claude, or OpenAI via the genui package. Use this skill when building dynamic AI-driven interfaces, conversational UI flows, server-rendered screen layouts, LLM-powered dashboards, chat-based UI generation, or implementing prompt-to-UI systems. Supports AI-generated widgets, reactive data binding, ContentGenerator integration, and A2uiMessageProcessor for real-time UI updates from AI responses. Ideal for apps where UI structure is determined by AI/LLM output rather than hardcoded layouts.
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 OpenAI Codex CLI as a peer collaboration partner — same standing as Claude, not a one-shot tool. Bring Codex in EARLY (ideation, framing decisions, stuck moments), not only for late peer-review. Hand it strategic context (target, research, draft, reasoning), iterate conversationally over ~3-8 turns, converge before surfacing to the human. Invoke when the user says "check / iterate / ideate with Codex" or "ask Codex" — and proactively when stuck between two reasonable framings, pressure-testing a load-bearing claim or structure, or about to ask the human to pick between options two agents could resolve.
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 the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.
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。