hyperise-automation
by ComposioHQhyperise-automation helps agents run Hyperise workflows through Composio Rube MCP by discovering live tool schemas first, checking the Hyperise connection, and executing supported actions with less guesswork.
This skill scores 66/100, which means it is acceptable for directory listing but should be presented as a lightweight connector-oriented skill rather than a complete Hyperise workflow pack. Directory users get enough evidence to understand when to use it—automating Hyperise through Composio/Rube MCP—and how to start, but the lack of concrete task recipes and supporting materials limits install-decision confidence.
- Valid frontmatter clearly names the skill, describes Hyperise automation, and declares the required `rube` MCP dependency.
- Prerequisites and setup steps identify the required Rube MCP endpoint, `RUBE_SEARCH_TOOLS`, `RUBE_MANAGE_CONNECTIONS`, and an active Hyperise connection.
- The skill repeatedly instructs agents to discover current tool schemas first, reducing the risk of stale Hyperise API assumptions.
- No support files, scripts, references, or README are included beyond SKILL.md, so adoption depends entirely on the short in-skill instructions.
- The workflow guidance is mostly generic Rube MCP discovery/check-connection/execute pattern rather than concrete Hyperise task examples, which may leave agents with guesswork for specific operations.
Overview of hyperise-automation skill
What hyperise-automation does
hyperise-automation is a Claude skill for running Hyperise-related automation through Composio’s Rube MCP server. Its main purpose is to help an agent discover the current Hyperise tool schemas, verify the user’s Hyperise connection, and execute supported Hyperise operations without guessing tool names or stale parameters.
This is not a standalone Hyperise SDK, scraper, or image-generation package. It is an agent workflow wrapper around Rube MCP tools, with a strong instruction to call RUBE_SEARCH_TOOLS before taking action.
Best fit for this skill
The hyperise-automation skill is best for users who already use Hyperise for personalization workflows and want Claude to help operate those workflows from an MCP-enabled client. It fits teams automating repetitive Hyperise tasks, checking available actions, or chaining Hyperise operations into broader Workflow Automation flows.
It is especially useful when tool schemas may change, because the skill tells the agent to discover the live schema first instead of relying on memorized examples.
Main adoption requirement
To use this skill, your client must support MCP and have Rube MCP configured. The skill requires:
- Rube MCP server:
https://rube.app/mcp - Access to
RUBE_SEARCH_TOOLS - An active Hyperise connection managed through
RUBE_MANAGE_CONNECTIONS - A confirmed
ACTIVEstatus before running workflows
If you cannot connect external MCP tools, this skill will not execute Hyperise actions; at most, it can help draft a manual workflow.
What makes it different from a generic prompt
A generic prompt may ask Claude to “automate Hyperise,” but it will likely guess capabilities, fields, and tool names. The differentiator in hyperise-automation is the discovery-first pattern: search tools, inspect returned schemas, check connection state, then execute. That reduces failed calls and is the core reason to install the skill instead of writing a one-off prompt.
How to Use hyperise-automation skill
hyperise-automation install and setup context
Install the skill from the Composio skills repository with your skill manager, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill hyperise-automation
Then configure Rube MCP in your Claude or agent client by adding:
https://rube.app/mcp
After MCP is available, ask the agent to verify that RUBE_SEARCH_TOOLS responds. Next, use RUBE_MANAGE_CONNECTIONS with toolkit hyperise to check whether your Hyperise account is connected. If the connection is not active, complete the returned authorization flow before asking for any Hyperise operation.
Inputs the skill needs from you
For reliable hyperise-automation usage, provide the business goal, the Hyperise object or workflow you care about, and the constraints. Avoid vague requests such as “do Hyperise automation.” Better inputs include:
- The specific task: “find available tools for managing Hyperise campaigns”
- The desired operation: create, update, retrieve, list, or validate, if known
- Relevant identifiers: campaign IDs, image template IDs, lead/company fields, or personalization variables
- Safety limits: “do not create or modify anything until I approve the execution plan”
- Output format: summary, table, execution plan, or direct tool calls
A strong prompt might be: “Use hyperise-automation to discover current Hyperise tools for updating personalization data. First search tool schemas, then check my Hyperise connection. Do not execute writes until you show the required fields and ask for confirmation.”
Recommended workflow for first run
Start with discovery, not execution:
- Ask Claude to use
RUBE_SEARCH_TOOLSfor your specific Hyperise use case. - Review the returned tool slugs, schemas, required fields, and pitfalls.
- Ask Claude to check the Hyperise connection with
RUBE_MANAGE_CONNECTIONS. - If active, request a dry-run style plan showing intended tool calls and required inputs.
- Approve execution only after the plan matches your Hyperise account and data.
This pattern matters because the source skill explicitly warns that current schemas should be fetched before workflows run.
Repository files to inspect first
The repository path is composio-skills/hyperise-automation, and the key file is SKILL.md. There are no supporting scripts/, rules/, resources/, or README.md files in the provided structure, so evaluate the skill primarily by its MCP requirements and workflow instructions.
Read SKILL.md for:
- Prerequisites
- Rube MCP setup
- Tool discovery pattern
- Connection management flow
- Core execution sequence
hyperise-automation skill FAQ
Is hyperise-automation beginner friendly?
It is beginner friendly only if you are comfortable connecting an MCP server and authorizing a Hyperise integration. The skill gives a clear sequence, but it assumes the user understands that Claude will call external tools through Rube MCP. If you are new to MCP, expect the first setup session to be about connection verification rather than immediate automation.
Can I use it without a Hyperise account?
No, not for real automation. The skill depends on an active Hyperise connection through Rube MCP. Without an authorized account, Claude can still explain possible workflows or help prepare prompts, but it cannot complete live Hyperise operations.
When should I not install this skill?
Do not install hyperise-automation if you only need general Hyperise strategy, copywriting, or manual campaign planning. It is also a poor fit if your environment blocks MCP servers or if you need a fixed, code-level API integration with version-controlled schemas. This skill is designed for agent-driven tool discovery and execution, not static backend development.
How does it fit Workflow Automation?
hyperise-automation for Workflow Automation makes sense when Hyperise is one step in a larger process, such as enriching leads, preparing personalized assets, updating campaign data, or validating personalization fields before outreach. The key is to let Rube discover what Hyperise actions are currently available, then compose those actions with other MCP-supported tools if your client allows it.
How to Improve hyperise-automation skill
Improve hyperise-automation prompts with task detail
The biggest quality gain comes from replacing broad goals with operational detail. Instead of “update Hyperise,” specify the object, action, fields, and approval rule:
“Use hyperise-automation to search current tools for listing Hyperise image templates. Show the schema, ask me for missing required fields, and do not modify data.”
This helps the agent choose the right tool discovery query and prevents accidental write operations.
Watch for common failure modes
Common blockers include inactive Hyperise authorization, skipped RUBE_SEARCH_TOOLS, stale assumptions about schema fields, and missing identifiers. If a tool call fails, ask the agent to repeat discovery with the exact use case and compare the returned schema against the failed call. Do not keep retrying with guessed parameters.
Iterate after the first output
After the first discovery result, refine the task using the returned tool names and fields. For example, if discovery shows a required campaign or template ID, provide that value before execution. If the returned plan includes a write action, ask for a read-only validation step first.
A good iteration prompt is: “Using the schema you just discovered, list the required fields, mark which ones I have provided, and ask only for the missing values before making the Hyperise call.”
Add local operating rules if needed
Because the upstream skill is compact and has no extra rules folder, teams may want to add local guardrails in their own workspace. Useful additions include approval-before-write rules, naming conventions for Hyperise assets, allowed campaign scopes, logging requirements, and rollback notes. These improvements make hyperise-automation safer in production-like Workflow Automation without changing the core discovery-first design.