piloterr-automation
by ComposioHQpiloterr-automation helps Claude automate Piloterr tasks through Rube MCP by discovering current tool schemas, checking the Piloterr connection, and executing with less guesswork.
This skill scores 68/100, which makes it acceptable for directory listing but with limitations. Directory users get a real, triggerable MCP-based workflow for Piloterr automation, especially if they already use Rube/Composio, but should expect the agent to rely heavily on live tool discovery because the repository provides limited Piloterr-specific examples or packaged resources.
- Clear trigger and scope: it is specifically for automating Piloterr operations through Composio's Piloterr toolkit via Rube MCP.
- Operational prerequisites are explicit, including requiring RUBE_SEARCH_TOOLS, an active Piloterr connection, and use of RUBE_MANAGE_CONNECTIONS.
- The skill gives a reusable execution pattern: discover current tool schemas first, check connection status, then proceed with workflows using current Rube tool information.
- No install command or support files are included; setup depends on manually adding the Rube MCP endpoint and configuring a Piloterr connection.
- Piloterr-specific task coverage appears thin: the skill emphasizes dynamic tool discovery rather than documenting concrete Piloterr workflows or examples.
Overview of piloterr-automation skill
What piloterr-automation is for
The piloterr-automation skill helps Claude automate Piloterr tasks through Composio’s Rube MCP server. Its main value is not a long local script or bundled workflow library; it is a compact operating pattern for safely discovering the current Piloterr tool schemas, checking the connection, and then executing the right Rube tool for the user’s task.
Best-fit users and jobs
Use the piloterr-automation skill if you already work with Claude, Rube MCP, Composio, and Piloterr, and you want an agent to perform Piloterr operations without guessing tool names or stale parameters. It is best for users who need workflow automation around Piloterr actions and want Claude to query live tool metadata before acting.
Key differentiator: live tool discovery first
The important behavior in this skill is the requirement to call RUBE_SEARCH_TOOLS before executing Piloterr operations. That matters because Composio tool schemas can change, and ordinary prompts may hallucinate inputs, omit required fields, or call a tool that is no longer available. This skill pushes the agent toward current schemas, execution plans, and known pitfalls.
Adoption considerations
The repository path contains a single SKILL.md and no helper scripts, examples folder, or extra rules. That keeps piloterr-automation lightweight, but it also means your environment must supply the real capability: Rube MCP, an active Piloterr connection, and a Claude client that can call MCP tools.
How to Use piloterr-automation skill
piloterr-automation install context
Install the skill from the Composio skills repository:
npx skills add ComposioHQ/awesome-claude-skills --skill piloterr-automation
Then configure Rube MCP in your Claude-compatible client by adding:
https://rube.app/mcp
The skill expects the rube MCP server to expose RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. No local script in this skill performs the automation by itself; the automation happens through MCP tool calls.
Connection setup before running tasks
Before asking Claude to run a Piloterr workflow, verify three things:
RUBE_SEARCH_TOOLSresponds.RUBE_MANAGE_CONNECTIONScan manage thepiloterrtoolkit.- The Piloterr connection status is
ACTIVE.
If the connection is not active, Claude should call RUBE_MANAGE_CONNECTIONS with toolkit piloterr, return or open the authorization link, and wait until the connection is active. Do not proceed with execution while the connection is missing or pending.
Turning a rough goal into a usable prompt
A weak prompt is:
“Use Piloterr to automate this.”
A stronger piloterr-automation usage prompt is:
“Use the piloterr-automation skill. First call
RUBE_SEARCH_TOOLSfor the specific Piloterr task: [describe task]. Check thepiloterrconnection withRUBE_MANAGE_CONNECTIONS. If active, choose the current tool slug and schema from discovery, show me the planned inputs, then execute only after confirming missing fields.”
Include the business object, target action, required filters, expected output, and any safety limits. For example, specify whether Claude should fetch records, enrich data, update an entity, or prepare a report, and define date ranges, IDs, account names, or maximum result counts when relevant.
Repository files to read first
Start with composio-skills/piloterr-automation/SKILL.md. It contains the operative instructions: prerequisites, setup, tool discovery, and core workflow pattern. There are no bundled scripts/, resources/, references/, or metadata.json files in this skill, so the live Rube discovery result is the real source of current tool behavior.
piloterr-automation skill FAQ
Is piloterr-automation enough without Rube MCP?
No. piloterr-automation is an MCP-oriented skill, not a standalone Piloterr SDK wrapper. It requires Rube MCP and an active Composio Piloterr connection. If your Claude environment cannot call MCP tools, this skill can still teach the workflow pattern, but it cannot execute Piloterr operations.
How is this better than an ordinary prompt?
An ordinary prompt may ask Claude to “use Piloterr” without confirming available tools, input schemas, or connection state. The piloterr-automation guide enforces a safer sequence: discover tools, check connection, inspect current schemas, plan inputs, then execute. That reduces schema drift failures and makes tool execution more auditable.
Is this suitable for beginners?
It is suitable for beginners who are comfortable configuring MCP and following an authorization flow. It is not ideal for someone expecting a no-code template with screenshots, prebuilt examples, or local commands beyond installation. The skill is concise and assumes the user can describe the Piloterr task clearly.
When should I not use this skill?
Do not use it when you need offline automation, custom Python/Node scripts, or a fully documented Piloterr workflow library. Also avoid it for tasks where you cannot provide enough context for tool discovery, such as vague requests with no target entity, action, or output format.
How to Improve piloterr-automation skill
Improve piloterr-automation inputs
The biggest quality gain comes from better task descriptions. Instead of saying “get Piloterr data,” provide:
- the exact operation you want
- known identifiers or filters
- expected output format
- constraints such as “read-only,” “do not update records,” or “ask before executing”
- success criteria, such as a completed export, a summarized result, or a verified update
This helps RUBE_SEARCH_TOOLS return more relevant Piloterr tools and helps Claude select the right schema.
Avoid common failure modes
The most common failure is skipping discovery and guessing tool parameters. Another is treating connection setup as optional. For reliable piloterr-automation for Workflow Automation, require Claude to state which discovered tool it plans to use, why it matches the task, and which fields are required before execution.
Iterate after the first tool result
After the first run, ask Claude to inspect the returned data before continuing. Good follow-up instructions include:
- “Check whether the response contains pagination.”
- “Summarize missing or null fields before the next call.”
- “Do not retry with changed parameters until you explain the change.”
- “If the schema differs from expectations, use the discovered schema, not assumptions.”
This keeps multi-step Piloterr workflows controlled and easier to debug.
Add local team conventions
For stronger adoption, teams can extend the skill with their own prompt snippets, approved task types, naming conventions, and safety rules. For example, add a rule that destructive or write operations require confirmation, while read-only discovery and validation may run automatically. This turns piloterr-automation from a generic MCP bridge into a repeatable internal workflow pattern.