shotstack-automation
by ComposioHQshotstack-automation helps agents automate Shotstack video tasks through Composio Rube MCP by discovering current tool schemas, checking the Shotstack connection, and planning safe execution.
This skill scores 66/100, which means it is acceptable for directory listing but should be treated as a lightweight connector guide rather than a complete Shotstack automation playbook. It gives agents enough trigger and setup guidance to use Rube MCP for Shotstack with less guesswork than a generic prompt, but directory users should expect to rely on live tool discovery for most operational detail.
- Valid skill frontmatter clearly names the dependency on Rube MCP and describes the purpose: automating Shotstack tasks through Composio.
- Prerequisites and setup steps tell agents to verify RUBE_SEARCH_TOOLS, manage the Shotstack connection, and confirm ACTIVE status before workflows.
- The skill gives a repeatable discovery-first pattern, including example RUBE_SEARCH_TOOLS calls to obtain current tool schemas and pitfalls.
- Relies on live Rube MCP tool discovery rather than bundled Shotstack schemas or task-specific examples, so execution still depends on external tool responses.
- No support files, scripts, README, or install command are included in the skill path, limiting adoption guidance beyond MCP setup.
Overview of shotstack-automation skill
What shotstack-automation does
shotstack-automation is a Claude skill for running Shotstack video automation through Composio’s Rube MCP. It helps an agent discover the current Shotstack tool schemas, verify that a Shotstack connection is active, and then execute video-editing related operations through the available Rube tools instead of guessing API parameters from memory.
Best fit for Video Editing automation
This skill is best for users who want AI-assisted workflows around Shotstack for Video Editing, such as preparing render jobs, managing Shotstack operations, or coordinating repeatable media automation through an MCP-connected agent. It is especially useful when you already use Composio/Rube and want the assistant to call real tools rather than only generate Shotstack API examples.
What makes this skill different
The main differentiator is its “search tools first” discipline. Shotstack tool schemas can change, and this skill instructs the agent to call RUBE_SEARCH_TOOLS before execution so it can retrieve current tool slugs, fields, execution plans, and pitfalls. That makes shotstack-automation more reliable than a static prompt that assumes fixed API shapes.
Adoption requirements to check first
Before installing the shotstack-automation skill, confirm your AI client supports MCP skills and can connect to Rube MCP at https://rube.app/mcp. You also need an active Shotstack connection through RUBE_MANAGE_CONNECTIONS using toolkit shotstack. If your environment cannot expose Rube tools to the agent, this skill will not be able to perform real Shotstack automation.
How to Use shotstack-automation skill
shotstack-automation install context
Install the skill from the Composio skills repository, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill shotstack-automation
Then configure Rube MCP in your client with the server endpoint https://rube.app/mcp. After installation, do not start by asking the agent to render immediately. First ask it to verify that RUBE_SEARCH_TOOLS is available and that the Shotstack toolkit connection is active.
Inputs the skill needs from you
For good shotstack-automation usage, provide the goal, media sources, output requirements, and operational constraints. A weak prompt is: “Make a video with Shotstack.” A stronger prompt is: “Use shotstack-automation to discover the current Shotstack tools, confirm my Shotstack connection, then create a render plan for a 30-second 1080p social ad using these clips, with captions, logo overlay, background music, and an MP4 output.”
Useful inputs include:
- Source asset URLs or where assets should come from
- Desired duration, aspect ratio, resolution, and output format
- Timeline structure, overlays, captions, audio, transitions, and branding
- Whether you want a dry-run plan before executing tool calls
- Any cost, render time, naming, or review constraints
Practical workflow for reliable execution
A good shotstack-automation guide follows this sequence:
- Ask the agent to call
RUBE_SEARCH_TOOLSfor the specific Shotstack task, not a generic query. - Ask it to inspect the returned schema and explain the required fields before execution.
- Confirm the Shotstack connection with
RUBE_MANAGE_CONNECTIONS. - Have the agent build a concrete execution plan using the discovered tool names and input schema.
- Approve the plan, then let the agent run the appropriate Shotstack operation.
- Ask for returned IDs, status links, payload summaries, and next-step monitoring instructions.
This sequence reduces failures caused by stale assumptions, missing authentication, or incomplete render inputs.
Repository files to read first
The repository path is composio-skills/shotstack-automation, and the key file is SKILL.md. Read it before installing because it contains the core operating rule: always discover current tools through Rube before running workflows. There are no visible supporting scripts/, references/, or resources/ folders in the provided file tree, so the skill’s value is concentrated in its MCP setup and workflow instructions rather than bundled helper code.
shotstack-automation skill FAQ
Is shotstack-automation enough without Shotstack or Rube?
No. shotstack-automation depends on Rube MCP and an active Shotstack connection. Without those, the assistant can still discuss possible video-editing plans, but it cannot reliably call the real Shotstack toolkit. Treat MCP availability and connection status as installation blockers, not optional setup details.
How is it better than an ordinary Shotstack prompt?
An ordinary prompt may produce plausible API payloads, but it can miss current field names, available operations, or required connection steps. The shotstack-automation skill tells the agent to discover live tool schemas first, then execute through Rube. That is the main reason to install it if you care about real tool use rather than static guidance.
Is this suitable for beginners?
It can work for beginners if they are comfortable connecting an MCP server and following an auth link for the Shotstack toolkit. Beginners should ask for a dry-run plan first: “Do not execute yet; discover tools, verify connection, and show the exact fields you need from me.” That keeps the first run understandable and reduces accidental renders.
When should I not use this skill?
Do not use it if you only need manual video editing advice, local desktop editing, or a one-off explanation of Shotstack concepts. It is also a poor fit when your organization forbids MCP tool access, external auth flows, or automated render execution. In those cases, a documentation-focused prompt may be safer than installing shotstack-automation.
How to Improve shotstack-automation skill
Improve shotstack-automation prompts
You get better results when your prompt separates discovery, planning, and execution. Instead of asking for an immediate render, say: “Use shotstack-automation: first call RUBE_SEARCH_TOOLS for creating a Shotstack render from image/video assets, then summarize required fields, then wait for my approval before execution.” This makes the agent use the skill’s intended control flow.
Provide stronger media and output details
Most failures come from vague asset or timeline instructions. Provide asset URLs, sequence order, text overlays, time ranges, dimensions, audio behavior, and expected output. If assets are not yet hosted, say that clearly and ask the agent what kind of public or accessible URLs Shotstack tools require based on the discovered schema.
Watch for common failure modes
Common issues include inactive Shotstack connections, using outdated tool names, missing required schema fields, and trying to execute before the plan is complete. If the first attempt fails, ask the agent to compare the failed payload against the latest RUBE_SEARCH_TOOLS schema and identify the exact missing or invalid fields before retrying.
Iterate after the first output
After a render or operation is created, ask for the returned job ID, status-check method, payload summary, and assumptions used. For Video Editing workflows, then iterate with specific changes: “shorten intro to 3 seconds,” “move logo to bottom-right,” “increase caption size,” or “export square instead of landscape.” Precise revision notes produce better follow-up tool calls than broad feedback like “make it better.”