업무 효율화 스킬

Create a handoff that captures work context and relevant references for another agent or session. Read an existing continuity document to explain the current situation and recommend next steps for the user to confirm.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Handing ongoing work to another agent
• Saving context before starting a new session
• Resuming from a selected handoff document

Turn requirements for software or other multi-step work into a structured plan with an approach, constraints, and verification steps. It also helps develop existing plans, researching decisions before handing the work over for execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning implementation from requirements
• Breaking complex work into manageable steps
• Adding detail to an existing plan

Collect new feedback from configured Slack and GitHub Issues sources, acknowledge receipt, analyze recordings, and verify claimed fixes against the default branch. Combine unresolved items into a rolling plan ready for the lfg workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting feedback from Slack and GitHub Issues
• Analyzing recordings attached to feedback
• Verifying that reported fixes were merged

Set up OpenSEO in an AI agent through its plugin or MCP connection, a way to access external tools. The workflow checks skills, guides sign-in, verifies access, and explains any manual steps needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting OpenSEO to Codex or Claude Code
• Getting setup instructions for ChatGPT or Claude Cowork
• Checking an existing connection and missing skills

Inspect and remove invisible characters from text and AI provenance metadata, information about content origin, from images and documents. It also supports prose rewriting and reports what changed, with limits on verifying watermark removal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Removing invisible characters from owned text
• Cleaning AI provenance metadata from images and documents
• Rephrasing prose while preserving facts and meaning

Set up and manage an OpenWork workshop with 1–99 attendee desktops and fictional workplace data. Prepare seats, distribute access links, check readiness, resolve common session problems, reset exercise data, and shut down requested workshop environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare desktop environments for a hands-on workshop
• Distribute or resend attendee access links
• Recover frozen seats or reset exercise data

Set up OpenWork for a team, from creating an organization and inviting members to sharing AI models and skills. It covers dashboard setup and terminal setup, with human ownership of accounts and shared access to provider keys.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an OpenWork organization and invite teammates
• Share AI models without distributing provider keys to members
• Create a skill and share it with a team

Introduce new users to OpenWork with explanations suited to their technical background. Cover file summaries, document creation, and organization, plus setup guidance for models, skills, plugins, and connections to external tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting started with OpenWork
• Learning how to request file summaries and organization
• Understanding skills and plugins

Set up the OpenWork assistant in Slack for an approved private-alpha organization using its existing app and individual account connections. Configure permissions and reply settings, link the requesting member, and verify completed answers in DMs and allowed channels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up @openwork in a Slack workspace
• Linking a member's Slack and OpenWork accounts
• Configuring allowed channels and reply visibility

Connects supported AI clients, including Claude Code and Codex, to OpenWork through MCP, a protocol for accessing external tools. It guides account sign-in and verifies that tools for finding and running organization capabilities are available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting an AI client to OpenWork organization resources
• Signing in and verifying available MCP tools
• Switching organizations or troubleshooting authentication

Find and use skills, shared tools, and connected services available in an OpenWork organization. Match a requested outcome to an available capability, run it with the required parameters, and explain any connection or permission steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding skills available within an OpenWork organization
• Searching shared tools and connected services by intended outcome
• Running available OpenWork Cloud operations

Install the free OpenWork desktop app on macOS, Windows, or Linux using the appropriate download for the computer. Guide initial setup, folder authorization, model selection, and a first task such as summarizing local files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Installing OpenWork on a personal computer
• Choosing an installer for the OS and CPU
• Setting up a work folder and model

Build reusable parts for n8n workflows instead of copying shared logic. This skill guides typed inputs, consistent outputs, naming, and execution settings so workflows and AI agents can call the same processing steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing common logic across workflows
• Splitting a large workflow into reusable parts
• Exposing shared processing as an AI agent tool

Find the right specialist guidance for building, editing, testing, or debugging n8n workflows through n8n-mcp. This entry skill explains available tools, connection requirements, credential handling, and checks to perform before activating a workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding the right skill for an n8n task
• Checking settings and connections before activation
• Investigating a workflow that behaves unexpectedly

Design n8n automations for incoming events, API connections, database synchronization, AI agents, scheduled tasks, and batch processing. Choose a suitable structure, plan error handling, check connections, test results, and review performance when processing large numbers of items.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sending form submissions to Slack
• Generating and emailing scheduled reports
• Synchronizing records between databases

Use n8n-mcp tools to find workflow steps, check settings, and create or update automations. Provides guidance on tool arguments, templates, folders, credentials, and security audits so agents can choose appropriate operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding nodes and checking their settings
• Creating and updating workflows
• Finding and deploying workflow templates

Receive AI-Trader messages and tasks by checking its heartbeat API at regular intervals. Track discussion replies, new followers, copied trades, and signals, with optional WebSocket notifications as a supplement to the regular checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check regularly for new messages and tasks
• Find new replies to discussions and strategies
• Receive follower and copied-trade notifications

Find the right NemoClaw skill for a task using a catalog organized for users, maintainers, and contributors. Understand which skill handles documentation, setup, implementation, reviews, or releases, and choose an appropriate starting point.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a skill that matches a NemoClaw task
• Browsing skills by user, maintainer, or contributor role
• Choosing skills for setup, implementation, and pull request publication

Read provider usage, limits, credits, and installation or configuration health through CodexBar. Returns JSON for enabled providers or a selected provider, while hiding secrets and leaving configuration and authentication unchanged.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking usage and limits across enabled providers
• Checking credits for a selected provider
• Diagnosing installation or configuration health

Build a daily or weekly worklog from recorded activity and checked outcomes. Separate plans, observed work, and verified completion, then summarize useful results and unfinished tasks with source links and clearly marked gaps or estimates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a daily work report
• Reviewing weekly outcomes and unfinished tasks
• Summarizing work time using recorded active minutes

Create and manage scheduled AI automations in screenpipe from the command line. Enable or disable jobs, test runs, inspect logs, and configure service connections such as Telegram and Slack, including connection status checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating scheduled AI automations
• Enabling or disabling existing automations
• Investigating failures through execution logs

Turn verified corrections and repeated workflows into reusable local methods. Check existing skills first, then capture when to use a method, its steps, how to validate results, and when to stop.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving a verified correction for future tasks
• Documenting a recurring workflow
• Checking for overlap with existing skills

Review recorded activity over a chosen period to understand sustained work and app switching. Get one evidence-based pattern and one small experiment for the next day, with uncertainty stated and no invented productivity scores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing sustained work over a chosen period
• Understanding app and window switching patterns
• Choosing a small experiment for tomorrow

Investigate and maintain documented workflows using Screenpipe evidence and shared drafts. Review whether recorded actions support each procedure, preserve verified steps, and add timing measurements only when clear start and end evidence is available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking documented procedures against activity records
• Reviewing and handing off shared workflow drafts
• Investigating workflow and step durations