C

fomo-automation

by ComposioHQ

fomo-automation helps agents automate Fomo tasks through Composio Rube MCP. Use it to discover current Fomo tool schemas, verify connections, and run safer workflow automation steps.

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AddedJul 11, 2026
CategoryWorkflow Automation
Install Command
npx skills add ComposioHQ/awesome-claude-skills --skill fomo-automation
Curation Score

This skill scores 67/100, which means it is acceptable for listing but limited. Directory users get enough clarity to understand that it enables Fomo automation through Composio/Rube MCP and how an agent should start safely, but the repository evidence shows a thin, single-file skill with limited Fomo-specific workflow detail.

67/100
Strengths
  • Valid frontmatter clearly declares the skill name, Fomo automation purpose, and Rube MCP requirement.
  • Prerequisites and setup steps explain that Rube MCP must be connected and that an active Fomo connection is required via RUBE_MANAGE_CONNECTIONS.
  • The skill gives an explicit operational pattern to call RUBE_SEARCH_TOOLS first, check the Fomo connection, and use current schemas before execution.
Cautions
  • No support files, scripts, references, or install metadata beyond the single SKILL.md, so adoption depends on the user already knowing how to configure MCP skills in their client.
  • The workflow is mostly a Rube discovery pattern rather than detailed Fomo-specific task recipes, so agents may still need to infer exact operations after tool search.
Overview

Overview of fomo-automation skill

What fomo-automation does

The fomo-automation skill helps an AI agent automate Fomo tasks through Composio’s Rube MCP integration. Fomo is typically used for social proof notifications and conversion-related activity feeds, so this skill is most useful when you want an agent to inspect available Fomo actions, authenticate the Fomo toolkit, and run operations using the current tool schema instead of guessing parameters.

Best-fit users and use cases

Use the fomo-automation skill if you already use Fomo and want Claude or another MCP-capable agent to help with operational tasks such as managing Fomo-related records, checking available actions, or building repeatable workflow steps around the Composio Fomo toolkit. It is a practical fit for growth, marketing operations, automation, and RevOps teams that prefer controlled tool calls over manual dashboard work.

Key differentiator: schema discovery first

The important behavior is not a fixed list of Fomo commands. The skill explicitly instructs the agent to call RUBE_SEARCH_TOOLS before taking action, because Composio tool schemas can change. That makes fomo-automation stronger than a static prompt: the agent should discover current tool slugs, required fields, recommended execution plans, and known pitfalls before executing a Fomo operation.

What to check before installing

This is a focused MCP skill, not a full Fomo tutorial or standalone CLI. Adoption depends on having Rube MCP available and an active Fomo connection through RUBE_MANAGE_CONNECTIONS. The repository path contains a single SKILL.md, so review that file first and expect the value to come from the agent workflow pattern rather than bundled scripts or reference assets.

How to Use fomo-automation skill

fomo-automation install context

Install the skill from the Composio skills repository, then use it in a client that supports skills and MCP tools:

npx skills add ComposioHQ/awesome-claude-skills --skill fomo-automation

The skill requires Rube MCP. Add https://rube.app/mcp as an MCP server in your client configuration, then confirm RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS with toolkit fomo and complete the returned authentication flow if the connection is not already ACTIVE.

Inputs the agent needs before tool calls

For reliable fomo-automation usage, give the agent the business goal, the Fomo object or workflow you care about, the constraints, and whether it may make changes or should only inspect. A weak prompt is: “Update Fomo.” A stronger prompt is: “Use fomo-automation to discover current Fomo tools, verify the Fomo connection, then find the safest way to update notification-related settings for our checkout campaign. Do not execute changes until you show the required fields and proposed tool call.”

Start by asking the agent to read composio-skills/fomo-automation/SKILL.md. Then follow this sequence: discover tools with RUBE_SEARCH_TOOLS, check the Fomo connection with RUBE_MANAGE_CONNECTIONS, select the specific tool based on the returned schema, validate required inputs, and only then execute. Keep the same Rube session ID across discovery and execution so the agent can reuse context from the search result.

Practical prompt pattern

A good fomo-automation guide prompt is specific about intent and risk:

“Use fomo-automation for Workflow Automation. First call RUBE_SEARCH_TOOLS for the use case: [specific Fomo task]. Then check RUBE_MANAGE_CONNECTIONS for toolkit fomo. If active, summarize the available tool choices, required fields, and risks. Ask me for missing values before executing. If the schema supports a dry-run or read-only path, prefer that first.”

This improves output quality because the agent cannot rely on outdated field names and must expose the execution plan before making changes.

fomo-automation skill FAQ

Is fomo-automation only for Composio users?

Yes, in practice. The skill is designed around Composio’s Rube MCP and the Fomo toolkit exposed through it. If your environment cannot connect to Rube MCP or cannot authenticate the Fomo toolkit, the skill will not be able to execute real Fomo operations.

How is this different from an ordinary Fomo prompt?

A normal prompt may describe what you want, but it cannot know the current Composio tool schema unless it searches available MCP tools. The fomo-automation skill gives the agent a safer operating pattern: search first, confirm connection, inspect required fields, then run the selected Fomo tool.

Is the fomo-automation skill beginner-friendly?

It is beginner-friendly if your MCP client is already configured, but it is not a one-click marketing automation product. New users should be comfortable approving an auth link, reading a proposed tool call, and distinguishing read-only inspection from write actions.

When should I not use this skill?

Do not use it for broad marketing strategy, Fomo account setup advice unrelated to MCP, or tasks requiring unsupported Fomo endpoints. Also avoid using it when you cannot clearly describe the target object, campaign, or operation; vague goals increase the chance of the agent selecting the wrong tool after discovery.

How to Improve fomo-automation skill

Improve fomo-automation results with better task framing

The most important upgrade is better input specificity. Include the Fomo task, desired outcome, allowed action level, relevant IDs or campaign names, and rollback expectations. For example: “Inspect current Fomo tools and identify how to list recent events for campaign X; do not create, update, or delete anything” is much safer than “Check Fomo.”

Prevent common failure modes

The main failure modes are skipping tool discovery, using stale parameter names, assuming the Fomo connection is active, or executing before required fields are confirmed. In your prompt, explicitly require RUBE_SEARCH_TOOLS first and ask the agent to show the selected tool slug, required schema fields, and missing inputs before execution.

Iterate after the first output

After the first plan, ask for a narrow refinement: “Which fields are required versus optional?”, “What would this change affect?”, or “Can this be done read-only first?” This turns the fomo-automation skill from a simple executor into a controlled workflow assistant that reduces accidental changes.

Repository improvements worth adding

The upstream skill would be stronger with a short README.md, example prompts for common Fomo operations, and a safety checklist for read versus write actions. A few tested examples showing RUBE_SEARCH_TOOLS queries, connection checks, and post-action verification would make the fomo-automation install decision easier for teams evaluating MCP-based workflow automation.

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