'sat' 검색 결과

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discussing Linear issues with an agent
• Keeping agent conversations separate for each issue
• Configuring comment delivery and authentication

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 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing for a first sales conversation
• Reviewing usage and risks before a renewal meeting
• Checking attendee roles and previous conversations

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching a contact before a sales conversation
• Reviewing recent activity and website visits
• Tracking changes in a contact's engagement

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a focused research brief for a subagent
• Specifying files and constraints for implementation
• Defining scope for an agent inheriting conversation history

Load company background for executive advisor sessions, check whether it is outdated or incomplete, and propose updates learned during conversations.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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Loading company background before an executive advisor session
• Checking outdated or incomplete company information
• Proposing context updates from new conversation details

Plan hiring around business needs, estimate staffing costs, and develop salary bands, equity frameworks, and organizational structures. Use people metrics to examine retention and performance, producing practical proposals for growing companies and their HR leaders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building hiring plans with timing and cost estimates
• Designing salary bands and equity compensation
• Reviewing team structures and management layers

Turn conversations and notes into organized Notion pages for decisions, guides, FAQs, and team knowledge. Create or update pages with summaries, source links, tags, and owners, then connect them to related documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Record meeting decisions and their rationale
• Turn work notes into step-by-step guides
• Build FAQs from recurring conversations

Track work across sessions with persistent issues, dependencies, and progress notes. Use the bd command-line tool to find unblocked work, claim issues, record completion, and recover task context after conversation compaction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track feature work across multiple sessions
• Find work that has no unresolved blockers
• Recover task context after conversation compaction

Summarize customer interview transcripts into a consistent Markdown document. Capture what customers want to accomplish, their current solutions, satisfaction and problems, notable findings, and follow-up actions with dates and owners when available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing customer interview transcripts
• Organizing satisfaction and problems with current solutions
• Sharing findings from product discovery interviews

Generate text and images through a reverse-engineered Gemini Web API, an interface reconstructed from the web service. Use reference images for descriptions or variations, and continue conversations across requests with saved sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from written prompts
• Describing the contents of reference images
• Creating variations from an existing image

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Organize knowledge notes with links that explain their relationships, search saved information, review conflicting claims, and prepare weekly digests. Retrieve earlier work sessions and conversations by topic or date to recover context before continuing a task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find saved knowledge on a topic
• Add source material and update related notes
• Review conflicting claims across notes

Turn OpenClaw conversations, actions, and tool history into structured long-term memory. Agents can retrieve past facts, decisions, and summaries when needed, helping them continue work across sessions and recover context after it is shortened.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve decisions made in previous sessions
• Review summaries of earlier work
• Recover context after conversation compaction

Turn conversations and notes into organized Notion pages for decisions, guides, FAQs, and team knowledge. Create or update pages with summaries, source links, tags, and owners, then connect them to related documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Record meeting decisions and their rationale
• Turn work notes into step-by-step guides
• Build FAQs from recurring conversations

Use MemOS Local to find past conversations, preferences, and decisions, then retrieve original messages or task context. The skill also guides sharing memories and reusable procedures with local agents or a configured team.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find preferences and decisions from past conversations
• Read original messages and surrounding dialogue
• Share memories with local agents or a team

Review recent changes, automated test failures, issues, and conversations to prioritize engineering work. Produce a concise report separating urgent actions, watch items, noise, and state updates, with suggested next steps and rough effort estimates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing recent CI and test failures
• Sorting team issues and conversation findings
• Separating urgent work from items to monitor

Add an AI agent backend to a Convex app with persistent conversations, streamed messages, and tool calls. It also supports document retrieval for grounded answers, using Convex AI Gateway for model calls where available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add an AI conversation feature to a Convex app
• Store conversation threads and message history
• Build answers using retrieved documents

Plan stakeholder conversations before retiring a product or feature. Get an ordered sequence of meetings, with questions, commitments, warning signs, and required outcomes, adjusted to the scale and complexity of the retirement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning conversations before a product retirement
• Checking promises made by Sales before announcing
• Coordinating a retirement involving resellers

Turn conversations and notes into structured Notion pages, including wiki entries, how-to guides, FAQs, and decision logs. Capture context and sources, connect related pages, and maintain owners and status as information changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn team conversations into wiki entries
• Record decisions and their rationale
• Create FAQs from recurring questions

Keep agent replies in Lark/Feishu short, natural, and focused on the point. This skill guides conversational wording, favors plain sentences for brief answers, and references Lark-specific Markdown guidance when formatting is unclear.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keeping Lark replies short and conversational
• Using plain sentences for brief answers
• Checking Lark-specific Markdown formatting

Turn resume text shared in conversation into a designed portfolio resume image. Apply a fixed layout, incorporate optional style and color preferences, and generate a vertical image presenting the supplied experience, skills, and projects.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a visual resume from text shared in conversation
• Presenting experience, skills, and projects in one image
• Styling a resume image with preferred colors and mood

Create and manage focused Specialist agents and Skills through conversation. Draft agent roles, review available Skills and Connectors, configure access, and manage changes, with Skill creation and publishing handled by the application's internal skill-creator.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a Specialist for a focused role
• Updating an agent's Skills and Connectors
• Creating, revising, and publishing Skills

Verify OpenMausBot server and conversation changes in an isolated instance using a fake engine, a stand-in for the real engine. Follow the canonical verification guide and shared control tool to check supported server workflows before reporting success.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify OpenMausBot server changes
• Check conversation changes in an isolated instance
• Review results before reporting that a change works