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概要と使いどころ
Triage recent changes, CI failures, issues, and conversations. Produces a concise, actionable findings report suitable for a loop to consume. Writes structured output to a state file or Linear board.
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。
Triage recent changes, CI failures, issues, and conversations. Produces a concise, actionable findings report suitable for a loop to consume. Writes structured output to a state file or issue 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。
Review recent conversations to find improvements for CLAUDE.md files.
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。
Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
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。
Quickly capture product ideas, feature requests, or insights from meetings and conversations. Rapid documentation with smart categorization and deduplication.
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。
Lark/Feishu channel output rules. Always active in Lark conversations.
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 the enabled Memcode MCP connection to explicitly save approved facts and recall relevant memories across DeepChat conversations. Never save a transcript or retrieve memory automatically.
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。
This skill helps users extract structured data from Reddit posts and comments via BrowserAct API. Agent should proactively apply this skill when users express needs like analyzing competitor mentions on Reddit, tracking brand sentiment in Reddit comments, extracting Reddit discussions for market research, finding popular Reddit posts by keywords, monitoring community feedback on specific topics, gathering user reviews from Reddit threads, searching for Reddit posts within a specific date range, sorting Reddit discussions by relevance or hotness, compiling nested Reddit comments for deep analysis, building a structured dataset of Reddit conversations, discovering trending topics in specific subreddits, or monitoring social media activity for specific brands on Reddit.
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 a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations, projects, work items, and artifacts. Covers its core concepts (Workspace, Project, Conversation, Agent, WorkItem, Resource, Artifact, Local Computer), main capabilities, how to run it, and the basic usage flow.
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。
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements .squad/agents/{agent}/history.md and .squad/decisions.md.
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。
使用 @ant-design/x 组件库构建 AI 对话 UI 时使用 —— 涵盖 Bubble、Sender、Conversations、Prompts、ThoughtChain、Actions、Welcome、Attachments、Sources、Suggestion、Think、FileCard、CodeHighlighter、Mermaid、Folder、XProvider 和 Notification。
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 building AI chat UIs with @ant-design/x components — covers Bubble, Sender, Conversations, Prompts, ThoughtChain, Actions, Welcome, Attachments, Sources, Suggestion, Think, FileCard, CodeHighlighter, Mermaid, Folder, XProvider, and Notification.
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。
Pick up where you left off from a previous session — use after context resets, compaction, or new conversations
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。
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
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。
Operate connected GoHighLevel CRM accounts through the NotFair MCP. Use for GoHighLevel, HighLevel, GHL contacts, conversations, opportunities, calendars, pipelines, tags, tasks, forms, invoices, products, or approved CRM changes.
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 inbox management across all channels — WhatsApp (wacli), Email (Gmail MCP), Slack (MCP), Telegram (user-auth MCP), Discord (webhook + REST read), Notion (MCP — comments, mentions, assigned tasks). Scans FULL inbox (not just unread), identifies messages needing replies, archives handled conversations.
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。
Automate Slack messaging, channel management, search, reactions, and threads via Rube MCP (Composio). Send messages, search conversations, manage channels/users, and react to messages programmatically.
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。
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
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。
Automate Intercom tasks via Rube MCP (Composio): conversations, contacts, companies, segments, admins. Always search tools first for current schemas.
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 conversations, preferences, project history, and decisions from ReMe in Claude Code, or check the ReMe connection.
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。
Query Auto Ontology and validate generated SQL, rows, and answers. Use for MCP or REST access, readiness, authentication, conversations, and grounded questions.
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。
Design system and templates for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in claude.ai conversations. Use this skill whenever the user wants visual or interactive output rather than plain text or markdown: charts and dashboards, diagrams, flowcharts and architecture drawings, mockups, comparison grids, illustrations, interactive explainers ("explain how X works" with a visual), or tools with sliders, toggles, and live-updating displays — including financial data shown visually and requests phrased as "show me", "visualize", "draw", or "chart this".
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 AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
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。
Your long-term knowledge pages. Read them at session start. Create new pages when you learn something worth remembering across sessions. Pages auto-update from your conversations via Hindsight.
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。