邮件、日历、任务管理、自动化（7870 个）
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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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.
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Find past discussions across existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats by title, workspace, or message text. With explicit authorization, send follow-up work to a specific supported chat; Gemini CLI supports search only.
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Find repeated tasks in recorded activity or starred examples, then describe their steps, exceptions, and human decisions. Assess a small automation candidate using captured evidence, available tools, permissions, and clear completion criteria.
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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.
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