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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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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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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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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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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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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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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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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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Design agent memory that preserves facts, preferences, and conversation history across sessions. Plan storage, retrieval, and retention separately for each organization or user, with checks for unauthorized access, outdated information, conflicting records, and retrieval quality.
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Organize articles, documents, and insights from conversations into a personal Markdown wiki. Maintain source references, links between related topics, an index, and an activity log, then answer questions using the knowledge already collected.
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Handle Slack tasks through browser automation, including checking unread channels, searching conversations, and sending messages. Extract channel details or message text, and save screenshots to document what was found in the workspace.
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Add interactive panels to an MCP server so users can select records, view charts, or follow progress inside a conversation. The skill guides tool connections, interface implementation, sandbox restrictions, and testing in hosts that support these panels.
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Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.
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Summarizes the current Claude Code conversation into an evidence-backed map of goals, changes in direction, completed outcomes, current work, and open decisions. Use it to regain context after interruptions, session switching, or conversation compaction.
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Manage LinkedIn conversations through the Curviate CLI, a command-line tool. Read and search inboxes, send DMs or InMail, reply as a company page, and configure webhooks that deliver message events to another system.
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Plan voice AI systems by comparing direct speech processing with separate transcription, language generation, and speech synthesis stages. Covers response delays, detecting when people speak, interruptions, and noise handling to guide conversational interface design.
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Store conversations, agent activity, and feedback in cognee sessions, then carry them into long-term memory. This skill explains improve(), its processing stages, result statuses, and settings for diagnosing skipped work or controlling automatic runs.
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Use Mars as a voice partner for reflecting on meaning, identity, and recurring patterns, or demonstrating a personal AI to others. It adapts between reflective conversation and demonstrations that search stored knowledge and summarize shared links.
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Connect NanoClaw to GitHub through Chat SDK so an agent can join pull request and issue comment threads. The skill covers a dedicated bot account, event notifications, access controls, and separate conversation sessions for each thread.
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Connect NanoClaw to Linear so an agent can respond to issue comments without mentions. The skill installs and checks the integration, guides authentication setup, and keeps each issue thread in its own conversation.
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Research a contact in Common Room using an email, social handle, or name. Bring together available background, activity, website visits, and company context, then suggest conversation starters supported by actual engagement signals.
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Prepare for customer meetings with a concise brief built from Common Room data. Combine company activity, attendee profiles, and previous conversations into specific talking points, likely discussion topics, and a recommended meeting outcome.
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Write clear briefs for subagents and conversation forks, agents that inherit conversation history. Specify purpose, known findings, scope, and expected output while respecting each agent's existing role and separating research requests from implementation.
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Load company background for executive advisor sessions, check whether it is outdated or incomplete, and propose updates learned during conversations. Apply rules for excluding sensitive details and anonymizing permitted information before external searches or API calls.
中文简介正在准备中。当前显示英语简介。