'conversation' 검색 결과

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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• Building a chatbot that answers questions about images
• Generating image descriptions and captions
• Exploring a scene through follow-up questions

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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• Recalling decisions before resuming work
• Finding discussions with different wording
• Looking up conversations about a function or class

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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• Asking questions about journal entries
• Finding information in an Obsidian vault
• Continuing a conversation with earlier chats in memory

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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• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

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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• Connect Kortix to Microsoft Teams
• Show task progress and deliver a final reply
• Receive attachments and share completed files

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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• Save an answer from a conversation
• Record a decision and its reasoning
• Keep a useful insight as a note

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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• Measuring performance with concurrent hosts
• Studying latency as conversation history grows
• Comparing throughput and failures under load

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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• Checking X Pixel and conversion tracking
• Reviewing keyword and conversation targeting
• Prioritizing creative, budget, and brand safety improvements

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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Turn text into speech with Venice.ai for narration, voiceovers, and conversational agents. The skill covers speech models, voices, output formats, and streaming, which delivers audio progressively as it is produced.

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• Creating narration from written text
• Preparing voiceovers
• Giving conversational agents a voice

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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• Turning an article into a conversational podcast
• Adapting a report for listening
• Explaining technical documentation through dialogue

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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• Adjust context token budgets and filtering rules
• Switch between saved server connections
• Import or export connection settings as JSON

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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• Pause work and resume it in a later conversation
• Save progress checkpoints during long tasks
• Inspect saved sessions and their details

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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• Review recent conversations in your Threads inbox
• Summarize a specific conversation
• Check incoming message requests

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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• Catching up on unread conversations
• Finding a link or detail in past messages
• Reviewing Messenger audio and video call history

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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• Creating short videos with sound from written prompts
• Assigning reference images to characters, products, or styles
• Refining objects, lighting, and text through conversation

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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• Creating a voice bot for customer support
• Embedding a voice assistant on a website
• Building an interactive voice character

Find information across memories, projects, and conversations already stored in MemPalace. Use semantic search, which looks for related meaning, by following the search instructions returned by the MemPalace command.

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• Finding information in stored memories
• Searching across imported projects and conversations
• Looking for information by meaning

Extract information from a project or conversation and store it as memories in MemPalace for later retrieval. The skill follows the step-by-step mining instructions returned by the MemPalace command.

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• Saving information from a project for later reference
• Extracting memories from a conversation
• Following MemPalace’s instructions to store memories

Store project files and conversation transcripts as searchable memories while preserving their original text. Retrieve past decisions, code, and notes by meaning, inspect stored content, and review how well memories are organized.

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• Retrieve past decisions from conversation history
• Make project files searchable by meaning
• Inspect stored memories and their organization

Design and evaluate how an AI agent remembers user preferences and history across conversations. Compare storage formats and memory frameworks, plan updates and compression, and distinguish personal memory from shared document retrieval while addressing sensitive information.

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• Design user memory that persists across conversations
• Compare storage formats, Mem0, and Memobase
• Evaluate recall and cross-conversation reasoning

Build real-time voice applications in Python with Azure AI Voice Live. Covers two-way audio streaming, transcripts, conversation history, and handling interruptions, with examples for authentication and configuring when the assistant responds.

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• Build a voice assistant in Python
• Display transcripts during voice conversations
• Stop an audio response when the user interrupts