altoviz-automation
by ComposioHQaltoviz-automation helps Claude automate Altoviz workflows through Composio Rube MCP by searching live tool schemas first, checking the Altoviz connection, and then executing safer tool calls.
Score: 66/100. This is acceptable for listing, but as a limited integration helper rather than a rich workflow skill. Directory users can understand that it is for automating Altoviz through Composio's Rube MCP and can follow the discovery/connection pattern, but they should expect to rely on live tool discovery and external toolkit docs for specific Altoviz operations.
- Valid frontmatter declares the skill name, description, and required Rube MCP dependency, making the intended trigger and runtime requirement clear.
- SKILL.md gives prerequisite and setup steps, including adding the Rube MCP endpoint, checking `RUBE_SEARCH_TOOLS`, and activating the `altoviz` connection via `RUBE_MANAGE_CONNECTIONS`.
- The skill repeatedly instructs agents to search tools first for current schemas, which reduces schema guesswork for a changing MCP/toolkit integration.
- No support files, scripts, resources, or README are provided, so users must rely on the single SKILL.md and external Composio toolkit docs.
- Operational detail is mostly generic Rube MCP discovery/connection flow; the evidence shows little task-specific Altoviz guidance or concrete examples.
Overview of altoviz-automation skill
What altoviz-automation is for
altoviz-automation is a Claude skill for automating Altoviz operations through Composio’s Rube MCP server. It is designed for users who want an agent to discover the current Altoviz tool schema, verify the Altoviz connection, and then execute workflow steps through Rube instead of relying on stale hard-coded API assumptions.
The main job-to-be-done is practical workflow automation: turn a business request such as “create or update an Altoviz record” into the correct Rube tool search, connection check, and tool call sequence.
Best-fit users and workflows
This skill is best for teams already using Claude with MCP and willing to connect Rube at https://rube.app/mcp. It fits operators, finance/admin teams, automation builders, and developers who need Altoviz actions performed from a chat-driven workflow.
The strongest fit is not “ask Claude about Altoviz.” It is “use Claude to operate Altoviz through available Composio tools after checking the live schema.”
Key differentiator: schema-first execution
The important behavior in the altoviz-automation skill is its insistence on calling RUBE_SEARCH_TOOLS first. That matters because Composio tool slugs, parameters, and execution plans can change. A generic prompt may guess tool names or invent fields; this skill pushes the agent to discover the current Altoviz operation schema before acting.
Adoption requirements to check first
Before installing or relying on this skill, confirm that your Claude client supports MCP, that Rube MCP is connected, and that an Altoviz connection can be activated through RUBE_MANAGE_CONNECTIONS with toolkit altoviz. The repository provides a single SKILL.md and no extra scripts, references, or bundled examples, so users should be comfortable validating behavior through the MCP tool responses.
How to Use altoviz-automation skill
altoviz-automation install and setup path
Install from the Composio skills repository with:
npx skills add ComposioHQ/awesome-claude-skills --skill altoviz-automation
Then add Rube MCP to your client configuration using:
https://rube.app/mcp
The skill expects Rube tools to be available, especially RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. After installation, ask Claude to verify that RUBE_SEARCH_TOOLS responds before attempting any Altoviz operation.
Inputs the skill needs from you
For reliable altoviz-automation usage, provide the business goal, the Altoviz object or operation type if known, required field values, identifiers for records to update, and any constraints such as “do not create duplicates” or “show me the proposed action before executing.”
Weak prompt:
“Update Altoviz.”
Stronger prompt:
“Use altoviz-automation for Workflow Automation. First discover current Altoviz tools with Rube. Then check the altoviz connection. I need to update customer invoice record INV-1042 with payment status paid and payment date 2026-07-11. If the schema requires different field names, show the mapped fields before executing.”
This improves output because it gives the agent a specific use case for RUBE_SEARCH_TOOLS, a record target, values to submit, and an approval checkpoint.
Practical workflow to follow
A good altoviz-automation guide follows this order:
- Discover tools with
RUBE_SEARCH_TOOLSusing your specific Altoviz task as the use case. - Check the Altoviz connection with
RUBE_MANAGE_CONNECTIONSand toolkitaltoviz. - If the connection is not
ACTIVE, complete the returned authorization flow. - Re-read the discovered schema and map your requested fields to accepted inputs.
- Execute the selected tool only after confirming required fields and side effects.
- Inspect the tool response and ask for a concise summary of what changed.
Do not skip discovery. The skill’s value comes from using live tool metadata instead of assuming what Altoviz supports.
Repository files to read first
The skill path is composio-skills/altoviz-automation, and the only meaningful source file shown is SKILL.md. Read it for prerequisites, setup, tool discovery, and the core workflow pattern. There are no visible rules/, resources/, references/, scripts/, README.md, or metadata support files in the preview, so installation decisions should be based on whether the concise MCP workflow matches your environment.
altoviz-automation skill FAQ
Is altoviz-automation useful without Rube MCP?
No. The skill depends on Rube MCP and the Composio Altoviz toolkit. If your client cannot connect to MCP servers or does not expose RUBE_SEARCH_TOOLS, this skill will not provide its intended automation path.
How is this better than an ordinary Altoviz prompt?
An ordinary prompt may describe what you want, but it has no built-in discipline to discover current tool schemas. The altoviz-automation skill directs the agent to search tools first, check the Altoviz connection, and then use the returned schema. That reduces hallucinated parameters and failed tool calls.
Is the altoviz-automation skill beginner-friendly?
It is beginner-friendly for users who can follow an MCP setup flow, but it is not a one-click Altoviz integration. You should understand that the agent will need an active Altoviz connection and may ask you to complete authorization before it can run workflows.
When should I not use this skill?
Do not use it for offline Altoviz documentation lookup, broad business-process design, or tasks where you cannot authorize Altoviz access. Also avoid it when you need a heavily customized automation package with validation scripts, examples, or local helper code; this repository entry is intentionally minimal and tool-discovery driven.
How to Improve altoviz-automation skill
Improve altoviz-automation results with better task framing
Give the agent a precise operation, not just an application name. Include action verbs such as create, update, fetch, reconcile, or list; name the target entity; provide known IDs; and state whether execution should be automatic or approval-gated.
Example:
“Use altoviz-automation to search for the current Altoviz tools, then find whether customer ACME Ltd has unpaid invoices. Do not modify anything. Return invoice IDs, due dates, and amounts if the schema supports those fields.”
This helps the skill choose a read-only path and avoid unnecessary write operations.
Common failure modes to watch
The most common failure is skipping RUBE_SEARCH_TOOLS and guessing a tool schema. Another is trying to execute before the Altoviz connection is ACTIVE. A third is providing vague record references, which can lead to ambiguous search results or unsafe updates.
If a tool call fails, ask Claude to show the discovered schema, the exact arguments it attempted, and which required fields were missing or mismatched.
Iterate after the first output
After the first response, refine based on the tool results. If multiple records match, ask for a disambiguation table before making changes. If a field is unavailable, ask the agent to re-run RUBE_SEARCH_TOOLS with a more specific use case. If the operation has side effects, request a pre-execution summary showing tool slug, mapped inputs, and expected change.
What would make the skill stronger
The upstream skill would be more adoptable with concrete Altoviz examples, common operation recipes, sample approval prompts, and troubleshooting notes for inactive connections or schema mismatches. Until then, users can improve reliability by treating live Rube discovery as mandatory and by supplying complete Altoviz context in every prompt.