스킬 찾기

Draft a reply to the newest Gmail inbox message using Granola meeting notes and past emails stored in cognee. Incorporates prior discussions, commitments, and writing style, then displays the draft without sending it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a reply that reflects meeting discussions and commitments
• Matching a reply to the style of previous sent emails
• Limiting meeting context to a chosen time range

Turn the latest Granola call into action items with owners, teams, due dates, and matching existing Linear issues. It uses cognee memory of calls, issues, and Gmail, then prints the results or posts them to configured Slack.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract action items from the latest Granola call
• Match follow-up tasks to existing Linear issues
• Clarify owners, teams, and due dates using email context

Connect a company SQL database, support ticket exports, and documents in cognee, linking shared people, teams, and projects so questions about ownership, decisions, and ongoing work can draw on several sources together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding owners across company databases, tickets, and documents
• Tracing decisions across multiple company sources
• Checking who is handling a support issue

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

Import text, files, URLs, repositories, and database content into cognee memory. This skill explains input handling, storage organization, extraction options, and cost estimates, while helping diagnose unsupported arguments and document update errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Importing documents, URLs, or database content
• Organizing stored information by project or topic
• Estimating tokens and cost before importing

Find and remove stored content from cognee using its SDK, HTTP API, or CLI. Inspect documents before deletion, choose document or dataset removal, or keep raw files while clearing derived graph relationships and search vectors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find and delete a specific stored document
• Remove an entire dataset
• Clear derived memory while keeping original files

Define custom entities and relationships in cognee, a memory system for AI applications. This skill guides model design, identity matching, searchable fields, and troubleshooting when entities are duplicated or relationships are missing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing custom entities and relationships
• Preventing duplicate entities across imports
• Investigating missing search results or relationships

Set up cognee and run a first Python example that stores information and retrieves it with a question. Covers virtual environments, API key configuration, optional packages, and basic troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Installing cognee in a new Python environment
• Trying a minimal example that stores and retrieves information
• Separating stored information by project

Connect cognee to additional databases and data sources through community packages. The skill covers installing and registering adapters, importing data through connectors, configuring monitoring, and developing extension packages with examples and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect cognee to Qdrant or another database
• Import data from Slack or Gmail
• Configure monitoring with Keywords AI

Tune cognee ingestion speed, query response time, and LLM costs by adjusting concurrency, text chunk sizes, request limits, and model choices. Estimate ingestion costs before processing and assess options for background work and deployment scaling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating costs before importing documents
• Adjusting ingestion speed and request limits
• Reducing query response time

Query documents and conversations stored in cognee to retrieve answers, supporting passages, or context for an AI model. This skill guides search method selection, source filtering, result interpretation, and troubleshooting empty or unexpected results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Searching selected datasets or conversation sessions
• Retrieving supporting passages or model context
• Choosing a search method for a question

Run cognee in Docker, starting with a prebuilt image for local document ingestion and questions. It also covers Docker Compose profiles for adding the UI, MCP server, Postgres, and Neo4j, plus persistent data storage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Try cognee locally using a prebuilt Docker image
• Test document ingestion and questions through the API
• Start the UI, MCP server, and databases with Docker Compose

Set up users, organizations, roles, and dataset sharing in cognee. The skill explains SDK and HTTP authentication, helps investigate permission errors or missing datasets, and clarifies how access settings separate each user’s stored data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share datasets with specific users or roles
• Organize data access across teams and organizations
• Configure SDK identities and HTTP authentication

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving conversations and agent activity by session
• Moving session content into long-term memory
• Investigating skipped or blocked processing stages

Connect cognee to model providers, databases, storage services, and development tools. Guides configuration of language models and embeddings, the numerical representations used for search, including the separate settings each requires.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Switching model providers or using Ollama locally
• Connecting cognee to Postgres or Neo4j
• Storing cognee data in S3

Manage cognee database migrations, from checking migration status and recovering blocked writes to creating schema or data updates. It also guides dataset backups, restores, and transfers using cognee’s portable COGX archive format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover writes blocked by a failed migration
• Create migrations for database structure or stored data
• Back up and restore datasets with COGX

Run the cognee API server and optional interface on your own machine, check server health, connect SDK or HTTP clients, and configure authentication for personal development or use by multiple users.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a local cognee server and interface
• Connecting SDK or HTTP clients to the server
• Configuring authentication for personal development

Operate cognee from the terminal to store, retrieve, update, and remove information. Covers dataset and configuration management, ingestion cost estimates, session history access, and commands for inspecting or applying database migrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Storing documents and asking questions from the terminal
• Estimating token usage and cost before importing data
• Managing datasets and saved configuration

Build custom cognee processing by chaining Python tasks, defining data types, and saving results to graph and vector databases. Use it to enrich existing data, inspect run status, and troubleshoot how tasks pass data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building custom extraction and processing steps
• Saving custom data types to graph and vector databases
• Adding information to an existing graph

Evaluate Cognee itself from local telemetry: recall hit rate, latency, saves, injected context, tokens saved, a scorecard and grade, before vs after an update, and why a memory was or wasn't injected last turn.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Store data permanently in the Cognee knowledge graph. Accepts a data category (user, project, or agent) to tag the data with the correct node_set for filtered retrieval.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write a concise handoff note for the current work (goal, decisions, open items, next steps, branch and PRs) and save it in Cognee so a later session can pick up where the work stopped.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Explain what the Cognee plugin captures, recalls, stores and sends, where its data and logs live, and how to inspect or turn off each behavior; check its local or cloud connection and settings.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Sync session cache entries into the permanent Cognee knowledge graph. Run this to make session memory searchable, or it runs automatically at session end.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.