'conversations' 검색 결과

Automate X direct message workflows by finding conversations awaiting replies, reading history, and sending text prepared by the calling agent. Also search for users, check messaging permissions, start conversations, and verify delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding unread conversations or messages awaiting replies
• Sending replies based on a defined persona and conversation history
• Searching for users to contact about collaborations

Connect a ChatGPT or Claude account to import conversation history into knowledge pages. Sync new and changed conversations incrementally, revisit recent history to catch updates, and optionally enable scheduled syncing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Importing ChatGPT conversation history
• Syncing Claude conversations into knowledge pages
• Keeping new and edited conversations up to date

Turn exported AI chats and agent session logs into dated, searchable pages in gbrain. Check for missing conversations, extract facts, and trace when a topic first appeared or how an idea developed, with quotes and dated references.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing exported AI chat histories
• Finding the first discussion of a topic
• Tracing how an idea developed

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save facts for future conversations
• Recall context from previous conversations
• Get answers with citations from saved memories

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build Python features that identify a speaker’s intent and extract details such as names from conversation text using Azure. Get guidance on request structure, authentication, client cleanup, and exception handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding intent detection to a Python application
• Extracting names and other details from conversation text
• Structuring requests for ConversationAnalysisClient

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking unread channels and direct messages
• Finding past conversations or who said something
• Extracting channel details and message text

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review unread conversations and message history
• Preview and send DMs or InMail
• Reply to messages as a company page

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Create evaluation drafts for existing skills using actual conversations and user corrections. Produce criteria and repeatable test cases, distinguish evidence from specification assumptions, and prepare an anonymized draft for human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn user corrections into repeatable test cases
• Compare promised behavior with actual usage
• Draft an evaluation from conversation history

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

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

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 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

Build image conversations with LLaVA, a model that connects image recognition with language. This skill guides setup, image descriptions, visual questions, and follow-up conversations, with examples for Python, command-line use, and a Gradio interface.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a chatbot that answers questions about images
• Write detailed descriptions of photos
• Ask follow-up questions about the same image

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

Recover and review local human-AI conversations from Claude Code, Codex, opencode, Grok Build, and Cursor. Use when the user wants to revisit, search, extract, summarize, or compare work across Agent session stores, time ranges, projects, or named conversations. Follow the user's requested output; question clustering, problem-space mapping, artifact review, drift analysis, and insights are optional lenses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

로컬에 저장한 Slack 대화를 검색하고 기간별 메시지 조회와 정확한 집계를 수행합니다. 데이터가 최신인지 확인하고 필요하면 동기화하거나 스레드를 가져옵니다.

• Slack의 과거 대화를 찾습니다
• 최근 7일간의 메시지를 확인합니다
• 저장된 메시지 수와 순위를 확인합니다

로그와 재현 작업으로 OpenClaw의 모델 통신과 도구 실행 문제를 조사합니다. 저장된 대화와 첨부 자료도 확인하여 원인 수정과 재검증에 필요한 근거를 모읍니다.

• 로컬 테스트와 실제 서비스의 동작 차이 조사
• 모델이 실제로 볼 수 있는 도구 확인
• 응답 스트리밍 지연과 중단 조사

문서·대화·프로젝트 정보를 알맞은 저장 위치로 정리합니다. 로컬 파일, 지식 기반, GitHub 등을 아우르며 중복 확인, 동기화, 검색을 진행합니다.

• 문서와 대화를 지식 기반에 저장
• 중복된 메모 정리
• 여러 저장 위치의 지식 동기화