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Search the agent’s conversation history by topic or date to retrieve relevant past entries. Inspect neighboring records when needed to understand the surrounding discussion, using the history log specified for the agent’s workspace.
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Build image-based conversations with LLaVA, an AI model that combines image understanding with language. Covers setup, model selection, image descriptions, follow-up questions, and memory-saving options for running models on a GPU.
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Search past conversations to recover decisions, discussions, and context across sessions. Find related ideas by meaning, match exact terms, or locate code identifiers, with options to search only user or assistant messages through local AI Maestro tools.
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Ask questions about your journal, Obsidian vault, or other text notes, and continue conversations that remember earlier chats. The companion uses cognee memory with local databases, reads your notes without changing them, and saves conversations for later reference.
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Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.
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Connect Kortix to Microsoft Teams and handle conversations with progress updates, final replies, and interactive questions. The skill also covers reading channel discussions, exchanging files, and posting to conversations the bot has already joined.
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Preserve a selected answer, decision, insight, or conversation summary as an Obsidian note. Check for duplicates, retain uncertainty, and preview the note together with related index and log updates before applying the reviewed changes.
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Run concurrent Omnigent conversations with real hosts and runners while replacing the LLM with a zero-latency mock. Read the generated report to explain response-time distributions, throughput, and failures, helping assess Omnigent's own processing overhead.
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Review X Ads tracking, campaign goals, keyword and conversation targeting, creative, budgets, and brand safety. Receive an evidence-based diagnosis and prioritized recommendations, with gaps in account information and unavailable features clearly marked.
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Save explicitly requested facts or approved summaries and recall them across DeepChat conversations through Memcode. The skill checks storage status and supports answers with citations, while keeping saving and recall under the user's control.
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Retrieve prior decisions and working context from Nowledge Mem in DeepChat, and save useful lessons for future work. It also supports requested conversation exports and connection troubleshooting while keeping operations within the selected server and Space.
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Build AI chat interfaces with @ant-design/x, a React library of interface components. Get guidance on choosing and combining message bubbles, input boxes, conversation lists, attachments, and source citations, with API references and common implementation pitfalls.
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Build AI chat screens in React with @ant-design/x. This skill guides component selection, API usage, and page composition for message bubbles, input boxes, conversation lists, attachments, source references, and other chat interface elements.
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Fixes broken line wrapping in Claude Code exported .txt conversation files — rebuilds tables, paragraphs, paths and tool calls hard-wrapped at a fixed width. Use for an export (YYYY-MM-DD-HHMMSS-*.txt) with broken tables, split paths, or mangled tool output, or "fix export" / "make export readable". Not for a live web conversation (use read-claude-web-conversation) or session history (use read-claude-code-history).
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Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memoryUse when "conversation memory, remember, memory persistence, long-term memory, chat history, memory, conversation, persistence, context, llm" mentioned.
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Use this skill when setting up Service Cloud Voice with Amazon Connect — provisioning the contact center, configuring phone numbers, enabling real-time transcription, and configuring After Conversation Work Time. Covers the deployable metadata behind it: CallCenter, ConversationVendorInfo (vendorType), CallCenterRoutingMap, the Voice ServiceChannel that carries ACW, ServicePresenceStatus, PresenceUserConfig, ServiceCloudVoice.settings, and the VoiceCall / VoiceCallRecording objects. Trigger keywords: Service Cloud Voice, Amazon Connect, contact center, softphone, call transcription, After Conversation Work, ACW, wrap-up time, VoiceCall, CallCenter metadata, vendorType, telephony provider. NOT for Omni-Channel routing setup — use admin/omni-channel-routing-setup. NOT for Open CTI softphone adapters — use apex/cti-adapter-development. NOT for Sales Dialer (Voice.settings) — that is a different product.
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通过Venice.ai将文字转为语音，用于旁白、视频配音和对话智能体发声，涵盖语音模型、声音、输出格式，以及逐步接收音频的流式输出。
Convert articles, reports, or documentation into an English or Chinese podcast with two conversational hosts. Create a dialogue script, generate speech, and combine it into an MP3 with a readable transcript.
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Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.
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Save an agent session’s state, settings, memory, and task progress, then restore it in another conversation. List saved sessions, inspect their details, and remove old ones when managing checkpoints for ongoing work.
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Generate short videos with audio from prompts and reference images, then refine them through conversational edits. The skill covers targeted object, lighting, and text changes, plus timed actions, using Gemini Omni Flash through documented video tools.
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Build voice assistants and conversational characters with ElevenLabs. Configure voices, language models, and external tools, then connect conversations to a website widget or use Twilio integration for outbound phone calls.
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Work with a personal Messenger account to find contacts, review call history, and search or summarize conversations. It also supports sending, editing, unsending, and reacting to messages, with previews and confirmation before those actions.
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Read Threads inboxes and conversations, summarize messages relevant to a question, and send explicitly approved messages through threads-messages-cli. You can also check message requests, reply to specific messages, and share existing published Threads posts.
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