'conversations' 검색 결과

Connect NanoClaw agents to DeltaChat for email-based messaging with end-to-end encryption. Set up direct chats or small group conversations, exchange file attachments, and link each chat to the appropriate agent group.

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• Chatting with a personal assistant through DeltaChat
• Using an agent in a small DeltaChat group
• Exchanging files with an agent in chat

Connect messaging channels to agent groups and choose whether they share conversations, workspace, or neither. Use it to add chats, change routing, review existing connections, and configure when agents respond.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting a new messaging channel
• Sharing agent memory across platforms
• Keeping different users' agents separate

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Calling an agent from a pull request comment
• Continuing an agent conversation in an issue thread
• Limiting agent access to trusted GitHub users

Prepare a one-page customer call brief with attendee profiles, account history, open deals, and context from earlier conversations. Use available connected sources or uploaded files to build a sourced call plan and relevant discovery questions.

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• Reviewing customer history before a sales call
• Preparing questions from unresolved points in earlier calls
• Creating a call brief from uploaded records and notes

Draft personalized sales emails or a series of follow-ups using prospect details and past conversations. Create reviewable email drafts, provide copy-ready text when tools are unavailable, and send or enroll contacts in outreach sequences when requested.

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• Writing a first sales email to a prospect
• Following up on an earlier email conversation
• Re-engaging a prospect after a gap

Identify what a sales opportunity needs to reach its next stage or close. Use deal records and conversations to map missing requirements, assign owners and deadlines, and sequence the next actions with supporting evidence.

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• Finding what is blocking a stalled deal
• Checking requirements for the next sales stage
• Planning owners and deadlines through close

Review a sales team's pipeline by representative and deal stage. The skill summarizes progress against targets, highlights deals that could affect the quarter, and suggests concrete manager actions and coaching questions using CRM data or an uploaded export.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare for a team pipeline review
• Compare each representative's forecast with their target
• Identify major deals and risks affecting the quarter

Find documents, discussions, and decisions across connected chat, email, storage, and other work tools with one query. Results are combined into an answer with source references, related items grouped together, and relevant filters applied.

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• Finding a document when its location is unclear
• Tracing past decisions across conversations
• Gathering project updates from multiple tools

Set up, debug, and extend PicoClaw using its own commands and configuration structure. Get guidance on model authentication, external tool connections, scheduled tasks, and how conversations are routed and stored.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up models and authentication in PicoClaw
• Configuring and troubleshooting MCP server connections
• Setting up recurring tasks

Test mastracode’s terminal interface in Konsole, covering model setup, conversation switching, task state isolation, and display issues. The guide combines interactive checks with scripted rendering tests and troubleshooting steps for common build and configuration problems.

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• Checking task state when switching conversations
• Setting up OpenRouter for interactive tests
• Testing borders and wrapping at different terminal widths

Create a concise sales reference comparing your product with a specific competitor. Organize product and pricing differences, strengths on both sides, responses to common objections, and win/loss patterns into a Markdown document for use during sales conversations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing sales teams for competitive deals
• Answering questions about a cheaper competitor
• Creating a feature and pricing comparison

Summarize WeChat group conversations into organized digests with discussion highlights, verified speaker attribution, and message statistics. Keep group history, participant profiles, and factual notes across runs, or summarize only messages received since the previous digest.

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• Catching up on a week's WeChat group discussions
• Summarizing messages since the previous digest
• Reviewing message counts and active participants

Address existing feedback on a GitHub pull request, a proposed code change. Evaluate comments against the code, apply valid fixes, and verify replies and thread resolution, with options for local handoff or resuming saved work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Addressing feedback across a pull request
• Handling a specific review thread
• Preparing local fixes for someone else to publish

Find past decisions, documents, and conversations in Screenpipe recordings. Get an answer with timestamps and available source links, with clear distinctions between recorded evidence, inference, and gaps in coverage.

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• Find the reasoning behind a past decision
• Locate a document seen earlier
• Review a conversation from a specific time

Reconstruct a customer's history from recorded meetings, support exchanges, and prior work. Check available current conversations and records, then summarize needs, commitments, unresolved issues, ownership, and next steps to inform a response draft.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review customer history before replying
• Check commitments and unresolved issues
• Prepare a follow-up message draft

Reconstruct an incident timeline from recorded screens and conversations, supported by available logs and monitoring. Organize symptoms, changes, response actions, and recovery evidence while distinguishing observed facts from suspected causes.

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• Reconstructing events around a system incident
• Reviewing response actions and recovery evidence
• Separating observed facts from suspected causes

Generate a client in your chosen language for live, two-way communication with Gemini Enterprise LiveAPI. Includes token renewal, session recovery, tests, and a demo interface for trying text, audio, video, and transcription.

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• Build a client for live conversations with Gemini
• Add token renewal and session recovery
• Test audio and video input through a demo interface

Automate website tasks such as navigating pages, filling forms, clicking buttons, taking screenshots, and extracting data. The skill also supports web app testing, with specialized guides for Electron desktop apps, Slack, and cloud browsers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automate form entry and page navigation
• Capture screenshots and extract page data
• Explore web apps for bugs

Connect Slack to Kortix and handle team conversations through the Slack CLI. Show live progress, send formatted replies, share files, and search messages, with thread binding that routes follow-up replies back to the same agent session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect a Slack workspace to Kortix
• Show task progress and results in a Slack thread
• Share generated files in Slack

Build and run computer-use-demo in Docker, then use Playwright to test its Streamlit interface without opening a visible browser. Save conversation transcripts, API exchanges, and screenshots to inspect behavior after changes.

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• Checking the interface after changing computer-use-demo
• Testing combinations of models and tool versions
• Checking Thinking settings and model changes during a session

Plan how an AI agent uses limited input space through reusable prompt prefixes, shorter tool outputs, summaries, and task splitting. Measure token use, response quality, and latency to choose optimizations that provide a net benefit.

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• Reducing token use from lengthy tool outputs
• Improving prompt cache reuse
• Planning context budgets for long conversations

Plan and improve AI agent systems by managing the information models receive. This collection covers memory, agent coordination, tool design, context compression, evaluation, and the operating controls needed for reliable autonomous workflows.

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• Planning information management for a new AI agent
• Investigating failures in long agent conversations
• Designing agent memory and multi-agent coordination

Design persistent agent memory that retains knowledge across sessions and retrieves relevant facts when needed. Compare storage approaches, track people and changing information, and plan memory consolidation and evaluation based on the kinds of questions the agent must answer.

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• Retain user preferences across conversations
• Track people and entities consistently across sessions
• Retrieve facts valid at a specific point in time

Guide an agent's work in Rowboat Spaces, a team chat for people and agents. Covers reading and replying to threads, notifying members, handing off tasks, and editing shared files through the service's tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Responding to requests in team chat
• Handing tasks to people or agents
• Finding past conversations and shared files