carbone-automation
by ComposioHQcarbone-automation helps agents run Carbone workflow automation through Composio Rube MCP. Use it to discover current tool schemas, verify the Carbone connection, and execute document tasks safely.
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 Carbone automation package. Directory users get enough information to understand when to use it and how an agent should start, but they should expect to rely on live Rube tool discovery for the actual Carbone operations and schemas.
- Valid skill frontmatter clearly declares the `carbone-automation` purpose and its dependency on the `rube` MCP server.
- Prerequisites and setup steps explain that agents must verify `RUBE_SEARCH_TOOLS`, manage a `carbone` connection, and confirm ACTIVE status before execution.
- The skill gives an explicit operational pattern to search tools first for current schemas, which reduces stale-schema risk when using Composio's Carbone toolkit.
- No install command or supporting files are provided; adoption depends on users already knowing how to add the Rube MCP endpoint in their client.
- The workflow guidance is mostly generic tool discovery and connection setup, with limited concrete Carbone task examples or edge-case handling.
Overview of carbone-automation skill
What carbone-automation does
carbone-automation is a Claude skill for running Carbone-related workflow automation through Composio’s Rube MCP server. It helps an agent discover the current Carbone tool schemas, verify the Carbone connection, and execute document/report automation tasks without guessing tool names or stale parameters.
The skill is best for users who already use, or plan to use, Carbone for template-based document generation and want an AI agent to operate it through MCP rather than by manually checking the Composio toolkit docs each time.
Best-fit use cases
Use the carbone-automation skill when your task depends on live Carbone tooling, such as generating documents from templates, checking available Carbone operations, or wiring Carbone into a larger workflow automation sequence.
It is especially useful when:
- Your MCP client supports Rube MCP tools.
- You need the agent to inspect current schemas before acting.
- Your Carbone account or connection state may change between sessions.
- You want a repeatable “discover, connect, execute, verify” workflow instead of a one-off prompt.
Key adoption requirement
The main blocker is not the skill itself; it is the external tool setup. carbone-automation requires Rube MCP and an active Carbone connection through Composio. The upstream skill explicitly depends on the rube MCP server and expects RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS to be available.
If your environment cannot connect to https://rube.app/mcp, or if you cannot authorize the Carbone toolkit, this skill will not be able to perform real Carbone operations.
How to Use carbone-automation skill
carbone-automation install and setup path
Install the skill from the Composio skill collection:
npx skills add ComposioHQ/awesome-claude-skills --skill carbone-automation
Then configure Rube MCP in your AI client by adding:
https://rube.app/mcp
The source skill says no API key is needed for adding the MCP endpoint, but the Carbone toolkit still needs an active connection. After MCP is available, ask the agent to verify that RUBE_SEARCH_TOOLS responds, then call RUBE_MANAGE_CONNECTIONS for the carbone toolkit. If the connection is not ACTIVE, complete the returned authorization flow before asking for any Carbone execution.
Inputs the skill needs from you
A strong carbone-automation usage prompt should include the business goal, Carbone object or operation you expect, template or document context, input data shape, output format, and success criteria.
Weak prompt:
Generate my report with Carbone.
Stronger prompt:
Use the carbone-automation skill. First discover current Carbone tools with
RUBE_SEARCH_TOOLS. Check that thecarboneconnection is active. I need to generate a PDF invoice from a Carbone template. The data includes customer name, invoice number, line items, tax, and total. Tell me which tool schema you found before executing, and stop if required fields are missing.
This works better because the agent knows to discover schemas first, validate connection state, and avoid inventing parameters.
Recommended workflow for real tasks
Use this sequence for reliable carbone-automation for Workflow Automation:
- Ask the agent to call
RUBE_SEARCH_TOOLSwith your specific Carbone task, not just “Carbone operations.” - Have it summarize available tool slugs, required fields, and risks before execution.
- Check the Carbone connection with
RUBE_MANAGE_CONNECTIONS. - Provide missing template IDs, file references, data payloads, or output preferences.
- Execute the selected tool only after the schema and connection are confirmed.
- Review the returned result and ask for a structured troubleshooting summary if it fails.
This skill’s most important rule is: search tools first. Rube schemas can change, and the source skill is designed to prevent stale tool calls.
Repository files to read first
The repository path is:
composio-skills/carbone-automation/SKILL.md
There are no extra resources/, references/, scripts/, or README.md files in the provided file tree, so SKILL.md is the primary source. Read it for prerequisites, setup, tool discovery, and the core workflow pattern. For external capability details, use the linked Composio toolkit docs at composio.dev/toolkits/carbone, but treat live RUBE_SEARCH_TOOLS output as the final authority for tool schemas.
carbone-automation skill FAQ
Is carbone-automation only for developers?
Not only, but it is easiest for users comfortable with MCP-based automation and account authorization flows. A non-developer can use it if the MCP client is already configured and they can provide concrete document-generation details such as template names, data fields, and desired output.
How is it better than a normal Carbone prompt?
A normal prompt can describe what you want, but it may hallucinate Carbone tool names, omit authentication checks, or use outdated parameters. The carbone-automation skill encodes the operational habit that matters most: discover current tools with RUBE_SEARCH_TOOLS, check the Carbone connection, then execute based on the returned schema.
When should I not install carbone-automation?
Do not install it if you only need general advice about Carbone templates, if your client does not support Rube MCP, or if you cannot authorize a Carbone connection through Composio. It is also unnecessary for workflows that do not need live Carbone tool execution.
Does it include ready-made scripts or templates?
No. The provided repository evidence shows a single SKILL.md and no support folders such as scripts/, resources/, or references/. The value is in the MCP workflow pattern, not bundled templates or helper code.
How to Improve carbone-automation skill
Improve prompts with schema-aware detail
To get better results from carbone-automation, make the first user request operational rather than descriptive. Include:
- The exact Carbone task you want.
- Known template IDs, document names, or file references.
- The expected input data structure.
- Output type, naming convention, and destination.
- Whether the agent should execute immediately or wait for confirmation.
This reduces back-and-forth and helps RUBE_SEARCH_TOOLS return a more relevant tool plan.
Common failure modes to prevent
The most common issues are missing MCP access, inactive Carbone authorization, vague task descriptions, and skipped tool discovery. Prevent them by requiring the agent to show the discovered schema before execution.
A useful guardrail prompt is:
Do not call any Carbone execution tool until you have searched tools for this exact use case, checked the
carboneconnection status, and listed required fields I still need to provide.
Iterate after the first output
After the first run, do not just say “fix it.” Provide the returned error, tool slug used, required fields, payload summary, and what result you expected. Ask the agent to compare the failed call against the latest schema from RUBE_SEARCH_TOOLS.
Good iteration prompt:
The Carbone call failed with this error: [paste error]. Re-run tool discovery for the same use case, compare the required schema with the payload used, identify the mismatch, and propose the smallest corrected call.
Improve the skill itself
If you maintain a fork, the highest-value improvements would be examples for common Carbone workflows, sample prompts for template-based PDF generation, and troubleshooting notes for inactive connections or missing fields. Because the current skill is compact, adding tested examples would make the carbone-automation guide easier to adopt without changing its core “discover first” design.