triggercmd-automation
by ComposioHQtriggercmd-automation helps agents automate Triggercmd via Rube MCP by first discovering live tool schemas with RUBE_SEARCH_TOOLS, then checking Triggercmd connection status before execution.
This skill scores 66/100, which means it is acceptable for listing but best suited for users who already understand Rube MCP/Composio workflows. It gives agents a usable activation pattern for Triggercmd automation, but the directory page should make clear that the repository evidence is thin and lacks concrete end-to-end Triggercmd task examples.
- Clearly states its intended trigger and scope: automating Triggercmd operations through Composio's Triggercmd toolkit via Rube MCP.
- Provides actionable prerequisites and setup checks, including requiring RUBE_SEARCH_TOOLS, RUBE_MANAGE_CONNECTIONS, and an ACTIVE Triggercmd connection before execution.
- Emphasizes schema discovery first, which should reduce stale tool-call assumptions and help agents adapt to current Rube tool definitions.
- No support files, scripts, examples, or README are provided beyond SKILL.md, so adoption depends entirely on the user already having Rube MCP and Triggercmd access configured.
- The workflow is mostly generic tool-discovery guidance rather than concrete Triggercmd automations, so agents may still need to infer the exact command/task flow after schema lookup.
Overview of triggercmd-automation skill
What triggercmd-automation does
The triggercmd-automation skill helps an AI agent automate Triggercmd operations through Composio’s Triggercmd toolkit via Rube MCP. Its main value is not a prebuilt script; it is a workflow pattern that forces the agent to discover the current Rube tool schemas before attempting any Triggercmd action. That matters because MCP tool names, required fields, and execution plans can change.
Best-fit users and workflows
Use this skill if you already rely on Triggercmd to run commands on your own machines and want Claude or another compatible agent to help initiate those operations through Rube MCP. It is best for Workflow Automation scenarios where the agent needs to check connection status, discover available Triggercmd tools, and execute tasks using the live schema instead of guessing from memory.
Key differentiator: schema-first automation
The important rule in this triggercmd-automation skill is: search tools first. The skill explicitly tells the agent to call RUBE_SEARCH_TOOLS before running workflows, then use RUBE_MANAGE_CONNECTIONS to confirm the Triggercmd connection is active. This makes it safer than a generic prompt that says “run my Triggercmd task” without validating the available tool slug, input schema, or authentication state.
How to Use triggercmd-automation skill
triggercmd-automation install and setup context
Install the skill in your AI skill environment from the repository path:
ComposioHQ/awesome-claude-skills/composio-skills/triggercmd-automation
If you use the common skills CLI flow, the install command is typically:
npx skills add ComposioHQ/awesome-claude-skills --skill triggercmd-automation
The skill also requires Rube MCP. Add https://rube.app/mcp as an MCP server in your client configuration, then confirm RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS with toolkit triggercmd; if the connection is not ACTIVE, complete the returned authorization flow before asking the agent to execute Triggercmd operations.
Inputs the skill needs from you
For strong triggercmd-automation usage, do not only say “run my command.” Provide the agent with:
- The Triggercmd goal, such as “run a backup command” or “start a local service”
- The target machine or command identity as it appears in Triggercmd, if known
- Any timing, safety, or confirmation requirements
- Whether the agent should only prepare a plan or actually execute
- Expected success signal, such as a command result, status check, or follow-up verification
A weak prompt is: “Use Triggercmd to restart my server.”
A stronger prompt is: “Use triggercmd-automation to discover the current Triggercmd tools via Rube, confirm my Triggercmd connection is active, find the schema for running a command, and restart the command named restart-dev-server. Ask before execution if the tool response indicates missing fields or ambiguous targets.”
Practical workflow for agents
A reliable triggercmd-automation guide follows this order:
- Call
RUBE_SEARCH_TOOLSwith the specific Triggercmd use case. - Read the returned tool slugs, required fields, recommended execution plan, and pitfalls.
- Call
RUBE_MANAGE_CONNECTIONSfor toolkittriggercmd. - Stop if the connection is missing or not
ACTIVE. - Execute only with the current schema returned by Rube.
- Report what was attempted, which tool was used, and what result came back.
This order reduces failure from stale assumptions. It also gives you a clear audit trail when an automation did not run because of auth, missing schema fields, or ambiguous command names.
Repository files to inspect first
This skill is compact: the main file to read is SKILL.md. There are no extra scripts, rules, references, or metadata files in the skill folder, so the repository review path is short. Focus on the prerequisites, setup, tool discovery example, and core workflow pattern. The linked Composio Triggercmd toolkit documentation is useful when you need broader context, but the live RUBE_SEARCH_TOOLS result should still be treated as the source of truth for execution schemas.
triggercmd-automation skill FAQ
Is triggercmd-automation for beginners?
It is beginner-friendly only if you already understand what Triggercmd is doing on your machines. The skill can guide the agent through Rube MCP discovery and connection checks, but it cannot decide whether your underlying local command is safe. Beginners should start with read-only or low-risk commands and require confirmation before execution.
How is this better than an ordinary prompt?
An ordinary prompt may cause the agent to infer a tool name or invent a parameter shape. The triggercmd-automation skill encodes a safer sequence: discover tools, check connection, then execute using the current schema. For MCP automation, that difference is meaningful because tool schemas and auth state are runtime facts, not static text.
What can block adoption?
The main blockers are missing Rube MCP access, an inactive Triggercmd connection, or unclear Triggercmd command names. The skill has no bundled helper scripts, so it depends on your MCP client exposing RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. If those tools are unavailable, the skill cannot perform its intended workflow.
When should I not use this skill?
Do not use it for direct shell execution outside Triggercmd, for building new Triggercmd commands from scratch, or for automations where the agent should never initiate remote/local machine actions. It is also a poor fit when your workflow needs extensive domain rules, approvals, or rollback logic that is not described in your prompt.
How to Improve triggercmd-automation skill
Improve triggercmd-automation prompts with execution boundaries
The best way to improve triggercmd-automation results is to specify boundaries before discovery. Tell the agent whether it may execute, must ask first, or should only return a plan. Include allowed command names, forbidden targets, and what to do if Rube returns multiple possible tools. This prevents the agent from treating a broad automation request as permission to run the first matching command.
Add stronger success and failure criteria
Give the agent a definition of “done.” For example: “After running the Triggercmd command, report the tool slug used, input fields sent, execution status, and any returned output. If execution fails, do not retry more than once without asking.” This turns the skill from a simple invocation helper into a controlled workflow automation step.
Common failure modes to watch
The most common failure is skipping RUBE_SEARCH_TOOLS and relying on an assumed schema. Another is proceeding when RUBE_MANAGE_CONNECTIONS does not show an active triggercmd connection. Ambiguous command labels can also cause poor outcomes. If the agent cannot identify the exact Triggercmd target, require it to ask a clarifying question instead of improvising.
Iterate after the first run
After the first successful run, save the working prompt pattern for that Triggercmd task: use case, command name, required fields, approval rule, and expected output. On later runs, still require live tool discovery, but reuse the clarified intent. This keeps the workflow fast while preserving the main safety benefit of the triggercmd-automation for Workflow Automation approach: current schemas plus explicit execution control.