C

veo-automation

by ComposioHQ

veo-automation is a Claude skill for running Veo tasks through Composio Rube MCP. Discover live tool schemas, verify the Veo connection, then execute workflows safely.

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AddedJul 12, 2026
CategoryWorkflow Automation
Install Command
npx skills add ComposioHQ/awesome-claude-skills --skill veo-automation
Curation Score

This skill scores 68/100, which means it is acceptable for directory listing but should be presented as a lightweight MCP workflow guide rather than a complete Veo automation package. It gives agents enough trigger and setup guidance to use Rube-discovered Veo tools with less guesswork than a generic prompt, but directory users should expect to rely on live tool discovery for actual schemas and task-specific execution details.

68/100
Strengths
  • Frontmatter clearly declares the trigger domain and dependency: automating Veo via the Rube MCP with `requires: mcp: [rube]`.
  • Prerequisites and setup steps tell agents to verify `RUBE_SEARCH_TOOLS`, manage the `veo` connection, and confirm ACTIVE status before running workflows.
  • The skill repeatedly instructs agents to call `RUBE_SEARCH_TOOLS` first, reducing schema guesswork and keeping execution aligned with current tool definitions.
Cautions
  • No install command or support files are included; setup depends on manually adding the Rube MCP endpoint and having a Veo connection.
  • The workflow is mostly a generic Rube discovery/execution pattern, with limited concrete Veo task examples or edge-case handling in the provided evidence.
Overview

Overview of veo-automation skill

What veo-automation does

veo-automation is a Claude skill for running Veo-related operations through Composio’s Rube MCP server. Instead of assuming fixed tool names or stale schemas, the skill tells the agent to discover the current Veo tools first, verify the Veo connection, and then execute the workflow using the returned schema. That “search before execute” pattern is the main value of the veo-automation skill.

Best fit for Workflow Automation

Use veo-automation for Workflow Automation when you want an agent to coordinate Veo tasks from a chat or coding-agent environment that supports MCP. It is most useful for teams already using Composio/Rube, or users who want Claude to handle the operational sequence: find available Veo actions, check authentication, fill required fields, run the action, and report results.

What makes this skill different

The skill is intentionally thin but practical: it does not hard-code one Veo command. It depends on RUBE_SEARCH_TOOLS so the agent can retrieve live tool slugs, input schemas, execution plans, and pitfalls before making calls. This matters because MCP tool schemas and toolkit capabilities can change faster than a static prompt.

Adoption requirements to know first

You need an MCP-capable client, the Rube MCP endpoint, and an active Veo connection managed through Rube. The source repository currently provides a single SKILL.md file and no helper scripts, examples folder, or local installer metadata. Treat the skill as an execution pattern for Rube MCP, not a standalone Veo SDK or full video-production application.

How to Use veo-automation skill

veo-automation install context

If your skill manager supports GitHub skill installation, install from the repository path:

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

Then configure Rube MCP in your client by adding the MCP server endpoint:

https://rube.app/mcp

The upstream skill states that no API key is needed for the MCP endpoint itself, but you still need an active Veo connection. In practice, confirm that RUBE_SEARCH_TOOLS is available before expecting the veo-automation install to work.

First setup and connection check

Read composio-skills/veo-automation/SKILL.md first; it is the only important source file for this skill. The required setup sequence is:

  1. Confirm RUBE_SEARCH_TOOLS responds in your MCP client.
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit veo.
  3. If the connection is not ACTIVE, follow the returned authorization link.
  4. Re-check the connection before running Veo operations.
  5. Use RUBE_SEARCH_TOOLS again for the specific task you want, not just a generic “Veo operations” query.

Do not skip discovery. The skill is designed around current schemas, so old examples or guessed parameter names are a common source of failure.

Writing prompts that invoke the skill well

A weak prompt is: “Use Veo to make a video.”

A stronger veo-automation usage prompt includes the goal, asset constraints, expected output, and permission to discover tools first:

“Use the veo-automation skill through Rube MCP. First search for the current Veo tools and schemas. Check that the veo connection is active. I want to generate a short product demo video for a noise-canceling headset: 8 seconds, cinematic lighting, close-up product shots, no visible text, vertical format if the tool supports aspect ratio. If required fields are missing, ask before execution. After running, summarize the tool used, inputs sent, and output location.”

This works better because the agent can map your intent onto the schema returned by Rube instead of inventing fields.

Practical workflow for reliable runs

Start each new session with tool discovery, then connection validation, then execution. Keep the same session ID when possible so the MCP flow has continuity. If the returned schema includes required fields, enums, file inputs, or model options, ask the agent to show a short execution plan before calling the tool. For multi-step workflows, have the agent run one Veo operation, inspect the response, and only then continue.

veo-automation skill FAQ

Is veo-automation a Veo API client?

No. veo-automation is a Claude skill that guides an agent to use Composio’s Rube MCP Veo toolkit. It does not ship a local SDK, Python package, JavaScript wrapper, or custom scripts. The actual capabilities depend on the Veo tools exposed through Rube at runtime.

How is this better than an ordinary prompt?

An ordinary prompt may hallucinate tool names or parameters. The veo-automation skill makes tool discovery part of the required workflow: search current tools, inspect schemas, confirm the veo connection, then execute. That is especially useful when MCP tools evolve or when different accounts expose different actions.

Is this skill beginner-friendly?

It is beginner-friendly if your client already supports MCP and you are comfortable completing an auth flow. It is not ideal for users who expect a one-click video generator or a graphical Veo interface. The skill assumes you can work with MCP tool calls such as RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS.

When should I not use veo-automation?

Do not use it when you need offline video generation, a local-only workflow, or a guaranteed fixed Veo schema. Also avoid it if your environment cannot connect to https://rube.app/mcp, if your organization blocks external MCP servers, or if you need production guarantees beyond what the live Composio/Rube toolkit provides.

How to Improve veo-automation skill

Improve veo-automation inputs before execution

The biggest quality gain comes from giving the agent concrete creative and operational constraints before it searches tools. Include duration, format, subject, style, audience, brand restrictions, source assets, forbidden elements, and what should happen if the schema lacks a requested option. This prevents the agent from turning a vague goal into arbitrary defaults.

Common failure modes and fixes

If the skill fails, check the basics in order: Rube MCP availability, active Veo connection, fresh tool discovery, required fields, and unsupported options. If the agent tries to execute before calling RUBE_SEARCH_TOOLS, stop it and ask it to restart the workflow. If a schema changed, request a new discovery call rather than editing guessed parameter names.

Iterate after the first output

After the first run, improve results by feeding back the actual response. Ask the agent to compare the returned output against your original constraints, identify which parameters likely influenced the result, and propose a revised call. Keep revisions specific: “make the camera static,” “reduce motion,” “switch to horizontal if supported,” or “avoid text overlays” is more actionable than “make it better.”

Repository improvements worth adding

The upstream veo-automation skill would be stronger with a short README, example prompts for common Veo workflows, sample RUBE_SEARCH_TOOLS results, and troubleshooting notes for inactive connections. A few tested prompt templates would also help users decide faster whether the veo-automation guide fits their MCP environment before installation.

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