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Helps you integrate hosted browser automation through Browser Use Cloud APIs and Python or TypeScript SDKs. Reference guides cover authentication, sessions, saved browser profiles, live views, and connections to existing agents or workflow services.

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• Add cloud browser tasks to an app
• Give an existing agent browser access
• Manage login sessions and browser profiles

Manage n8n automation workflows from the command line. Create, update, and activate workflows, inspect or retry executions, and manage credentials, variables, and tags through n8n's public API with structured JSON output.

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• Create or update an n8n workflow
• Activate or deactivate an automation workflow
• Inspect execution history and retry a run

Design and build Apify integrations for workflow platforms, AI agents, AI frameworks, or applications. Follow guidance for authentication, asynchronous cloud task execution, result retrieval, spending limits, error handling, testing, and release preparation.

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• Adding Apify actions to a workflow automation platform
• Building an Apify plugin for an AI agent
• Connecting an AI framework package to Apify

Configure OMC notifications for Telegram, Discord, or Slack through guided questions. Choose events such as session completion or requests for input, set destinations and mentions where supported, and optionally send a test message to check delivery.

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• Receiving alerts when a session finishes
• Getting notified when Claude needs input
• Setting Discord or Slack notification mentions

Integrate USDC payments into AI agents on Base L2. Guides setup for earning or paying, generates tailored code, and verifies configuration, covering escrow that holds funds until delivery and instant payments for HTTP requests.

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• Building an agent that charges USDC for services
• Paying another agent for a specific service
• Trying payment flows in a local simulation

Configure n8n nodes by checking which fields each operation needs and which settings reveal additional options. Start with a minimal configuration, validate it, look up unclear properties, and make targeted edits to existing code or text fields.

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• Checking required fields when changing a node operation
• Finding why a configuration field is hidden
• Editing part of a long code or text field

Write JavaScript for n8n Code nodes to aggregate, filter, and transform workflow data. Guidance covers data access, output formats, execution modes, common errors, and performance choices when processing large numbers of records.

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• Aggregating and deduplicating multiple records
• Transforming complex API responses
• Fixing data access and return format errors

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

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Covers single-instance setups, workers for parallel execution, secret management, deployment checks, updates, backups, and restoration.

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• Installing n8n on a VPS
• Running workflows in parallel with workers
• Publishing n8n with automatic HTTPS

Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.

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• Building a chatbot with conversation memory
• Connecting external tools to an AI agent
• Returning data in a defined JSON format

Manage which n8n instance an MCP session targets when working across production, staging, teams, or clients. Guides instance switching, checks before credential changes, and recovery from unexpected missing data or ambiguous credential writes.

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• Switching between production and staging
• Checking the target before credential changes
• Investigating unexpected missing data

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

Interpret n8n validation results and work through fixes for missing settings, broken references, and expression errors. Distinguishes blocking errors from advisory warnings, explains validation profiles, and guides review of automatic fixes and execution failures.

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• Understanding validation errors
• Deciding which warnings need attention
• Choosing a validation profile

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

Build n8n workflows that download, transform, and send files without losing their contents. Learn how file data differs from JSON, how to preserve attachments, and how to use storage keys or URLs with AI tools and chat messages.

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• Fixing attachments lost during data transformation
• Passing uploaded files to AI agent tools
• Displaying generated images in chat

Write and troubleshoot n8n expressions, the formulas that pass and transform data between workflow steps. Covers field references, webhook inputs, dates, strings, and choosing between expressions and Code nodes for data transformations.

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• Fixing expression syntax errors
• Using webhook data in downstream steps
• Formatting dates and strings

Write Python for n8n Code nodes to transform, filter, aggregate, and validate workflow data. Get guidance on reading input items, returning the required JSON structure, using standard library modules, and avoiding common errors within n8n's Python execution modes.

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• Transforming and filtering data in n8n with Python
• Calculating totals and basic statistics
• Extracting and validating text with regular expressions

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

Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.

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• Adding a calculation tool to an AI Agent
• Defining typed inputs for multiple arguments
• Fixing tool output type errors

Add error handling to n8n workflows with connected error outputs, retries, and failure notifications. Return HTTP status codes that explain what went wrong, distinguish invalid requests from service failures, and keep internal error details out of public responses.

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• Investigating workflows that fail without notification
• Returning clear errors from webhook APIs
• Retrying temporary network failures

Investigate organizations, domains, media locations, and cryptocurrency flows using open-source intelligence, or OSINT. The skill helps select relevant research tools, connect findings across sources, and preserve evidence with timestamps, screenshots, file hashes, and reproducible logs.

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• Mapping an organization's publicly exposed infrastructure
• Connecting public company records and social profiles
• Investigating image locations and video evidence

Design automation for sales and marketing workflows, including lead scoring, routing, CRM updates, and AI agent tasks. The skill helps choose platforms, organize shared customer context, and define monitoring and feedback loops around team needs and budget.

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• Designing lead enrichment and routing workflows
• Comparing n8n, Make, and Zapier for team needs
• Planning AI-assisted sales workflows

Plan customer acquisition as a solo founder, from choosing tools and sales channels to assigning work to AI agents. Organize priorities by revenue stage, divide time between building and selling, and assess when hiring makes sense.

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• Planning customer acquisition as a solo founder
• Dividing marketing and sales work among AI agents
• Choosing between self-service signup and sales calls

Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool calling, $fromAI, system prompts, agent memory, sessionId, structured/JSON output, output parser, RAG, vector store, a chat assistant/bot, or human-in-the-loop review. Covers Agent-vs-chain-vs-classifier choice, the model/memory/tools/outputParser slots, tool names/descriptions as prompt, structured output with autoFix, memory, RAG, human review, and chat topologies.

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