seat-geek-automation

Overview of seat-geek-automation skill

What seat-geek-automation does

seat-geek-automation is a Claude skill for running SeatGeek-related workflows through Composio’s Rube MCP server. Instead of hard-coding one fixed SeatGeek action, the skill teaches the agent to discover the current Seat Geek toolkit tools first, check the user’s connection state, and then execute the relevant operation with the schema returned by Rube.

Best fit for Workflow Automation users

This skill is useful if you want an agent-assisted workflow for SeatGeek operations and you already use, or are willing to use, Rube MCP. It is most relevant for users who need current tool schemas, connection-aware execution, and repeatable SeatGeek task automation rather than a one-off natural-language answer about events.

Main differentiator: discover before acting

The key value of the seat-geek-automation skill is its “search tools first” pattern. SeatGeek tool names, accepted fields, and recommended execution plans may change, so the skill instructs the agent to call RUBE_SEARCH_TOOLS before attempting the workflow. That reduces failures caused by stale assumptions and makes the skill more reliable than a generic prompt that guesses tool inputs.

Important adoption constraint

This is not a standalone SeatGeek scraper or browser automation package. It requires Rube MCP and an active Seat Geek connection through Composio. If your environment cannot connect to MCP servers, cannot authenticate the Seat Geek toolkit, or needs offline processing, this skill is not the right fit.

How to Use seat-geek-automation skill

seat-geek-automation install context

Install the skill from the Composio skills repository in a skills-compatible Claude environment:

npx skills add ComposioHQ/awesome-claude-skills --skill seat-geek-automation

Then configure Rube MCP by adding https://rube.app/mcp as an MCP server in your client. The upstream skill states that no API keys are needed for the MCP endpoint itself, but Seat Geek access still depends on completing the toolkit connection flow returned by Rube.

Required setup before running tasks

Before asking for SeatGeek automation, confirm three things:

1. RUBE_SEARCH_TOOLS is available in your client.
2. RUBE_MANAGE_CONNECTIONS can manage the seat_geek toolkit.
3. The Seat Geek connection status is ACTIVE.

A practical first prompt is:

Use the seat-geek-automation skill. First call RUBE_SEARCH_TOOLS for Seat Geek operations, then check my seat_geek connection with RUBE_MANAGE_CONNECTIONS. If it is not active, return the auth steps instead of attempting the task.

This matters because the skill’s workflow depends on live tool discovery and authenticated access, not static instructions.

Turning a rough goal into a usable prompt

A weak prompt is: “Do my SeatGeek task.”

A stronger prompt gives the agent enough context to search for the right tool and build valid inputs:

Use seat-geek-automation for Workflow Automation. I want to find SeatGeek options for an event in New York next weekend. First discover the current Seat Geek tools and schemas with RUBE_SEARCH_TOOLS. Tell me which tool you plan to use, what required fields are missing, and ask before executing anything that changes account data.

For higher-quality results, include the task type, city or venue, dates, event names, quantity, budget, sorting preference, and whether the action is read-only or may modify account state. The skill can only use the schemas Rube returns, so complete constraints help the agent map your intent to available fields.

Repository files to read first

The upstream package is intentionally small. Start with composio-skills/seat-geek-automation/SKILL.md; it contains the prerequisites, setup sequence, tool discovery pattern, and core workflow. There are no visible support folders such as scripts/, resources/, rules/, or references/, so adoption depends mainly on understanding the MCP workflow rather than reviewing a large codebase.

seat-geek-automation skill FAQ

Is seat-geek-automation beginner-friendly?

Yes, if you already know how to enable MCP servers in your AI client. The skill’s logic is simple: connect Rube, activate the Seat Geek toolkit, search tools, then execute using returned schemas. Beginners may still need help with MCP configuration and the external authentication flow.

How is this better than an ordinary prompt?

A generic prompt may hallucinate SeatGeek API fields or invent actions. The seat-geek-automation skill tells the agent to query RUBE_SEARCH_TOOLS first, so it can use the current Composio tool names, input schemas, execution plans, and pitfalls. That is the main reliability improvement.

Can it run without a Seat Geek connection?

No. The skill requires an active Seat Geek connection through RUBE_MANAGE_CONNECTIONS using the seat_geek toolkit. If the connection is inactive, the correct behavior is to follow the returned auth link and confirm the connection before attempting the workflow.

When should I not use this skill?

Do not use it for unsupported SeatGeek actions, browser-only workflows, scraping, or situations where you cannot grant the required connection. Also avoid it when you need deterministic local code; this skill is an agent workflow pattern around Rube MCP tools, not a packaged software library.

How to Improve seat-geek-automation skill

Make seat-geek-automation prompts schema-aware

The biggest quality improvement is to ask the agent to reveal the discovered schema before execution. For example:

Search Seat Geek tools for this use case, summarize the selected tool’s required and optional fields, identify missing inputs, then proceed only after I confirm.

This prevents the agent from filling unknown fields with guesses and makes the seat-geek-automation usage easier to audit.

Add clear execution boundaries

State whether the workflow is read-only, can create or update data, or must ask before taking action. Good boundaries include: “Do not purchase,” “Do not change account settings,” “Only search and summarize,” or “Ask before any irreversible operation.” These instructions matter because Rube may expose multiple Seat Geek operations, and the correct tool set is discovered at runtime.

Common failure modes to watch

Most failures come from skipping tool discovery, using an inactive connection, providing vague event criteria, or assuming old tool schemas. If the first output is poor, ask the agent to rerun RUBE_SEARCH_TOOLS with a more specific use case such as “find events by city and date” or “retrieve details for a known event,” then compare the returned tools before executing.

Iterate after the first result

After the initial response, refine with concrete constraints: date range, venue, artist/team name, number of tickets, maximum price, location preference, and sorting rule. If the result includes uncertainty, ask for the raw tool choice, required fields used, omitted optional fields, and next recommended call. This turns seat-geek-automation from a broad assistant instruction into a repeatable workflow automation pattern.