sendloop-automation

Overview of sendloop-automation skill

What sendloop-automation is for

sendloop-automation is a Claude skill for running Sendloop email marketing tasks through Composio’s Rube MCP. It is designed for users who want an agent to discover the current Sendloop tool schema, verify the Sendloop connection, and then execute campaign, list, contact, or related email automation workflows without hard-coding stale API assumptions.

The core value is not a prebuilt campaign template. The value is a safer execution pattern: search Rube tools first, confirm the active Sendloop connection, inspect the returned schema, and only then perform the requested Sendloop operation.

Best-fit users and jobs

This sendloop-automation skill fits teams using Sendloop for Email Campaigns who want Claude to help with operational tasks such as preparing audience workflows, checking available Sendloop actions, managing contacts or lists, or coordinating campaign-related steps through MCP tools.

It is most useful when you already have:

• A Sendloop account or workspace you can authenticate
• Rube MCP available in your AI client
• A clear email operations goal, such as “add these contacts to a list” or “find the tool path for creating a campaign”

Key differentiator: schema-first execution

The skill explicitly instructs the agent to call RUBE_SEARCH_TOOLS before taking action. That matters because Composio tool names, arguments, and required fields can change. A generic prompt may guess a tool call; sendloop-automation makes tool discovery part of the workflow, reducing failed calls and mismatched parameters.

Main adoption consideration

This is a lightweight skill with a single SKILL.md and no bundled scripts, examples, or reference assets. Install it if you want a concise operating rule for Sendloop via Rube MCP. Do not expect it to provide a full email strategy playbook, copywriting framework, compliance checklist, or Sendloop API wrapper.

How to Use sendloop-automation skill

sendloop-automation install context

Install from the Composio skills repository in the same way you add other Claude skills from GitHub:

npx skills add ComposioHQ/awesome-claude-skills --skill sendloop-automation

Then confirm your AI client supports MCP and that Rube is configured as an MCP server:

https://rube.app/mcp

The upstream skill requires mcp: [rube]. If RUBE_SEARCH_TOOLS is not available in your client, the sendloop-automation install is not enough; you must finish MCP setup first.

Required setup before running Sendloop actions

Before asking Claude to modify anything in Sendloop, verify the connection flow:

1. Confirm RUBE_SEARCH_TOOLS responds.
2. Use RUBE_MANAGE_CONNECTIONS with toolkit sendloop.
3. If Sendloop is not ACTIVE, follow the returned authorization link.
4. Re-check connection status before executing write operations.

A good first prompt is:

Use the sendloop-automation skill. First search Rube tools for current Sendloop schemas. Then check whether the Sendloop toolkit connection is active. Do not create, update, or delete anything yet. Report the available tool slugs, required fields, and any missing authorization steps.

Turning a rough goal into a strong prompt

Weak prompt:

Add my contacts to Sendloop.

Better prompt:

Use sendloop-automation for Email Campaigns. Search current Sendloop tools first. I want to add the following contacts to the “Spring Webinar Leads” list: name, email, company, and source. If the required schema needs a list ID instead of a list name, find or ask for the missing value before making changes. Preview the planned tool calls and wait for confirmation.

This improves output quality because it gives the agent the business goal, target list, available fields, safety rule, and confirmation boundary.

Repository files to read first

Start with composio-skills/sendloop-automation/SKILL.md. There are no extra README.md, scripts/, resources/, or rules/ folders in the current skill path, so the key implementation detail is the workflow text inside SKILL.md.

Pay special attention to these source sections:

• Prerequisites
• Setup
• Tool Discovery
• Core Workflow Pattern

Those sections explain the real operating sequence: discover tools, check connection, then execute using the returned schema.

sendloop-automation skill FAQ

Is sendloop-automation beginner-friendly?

Yes, if you already know how to connect an MCP server in your AI client. The Sendloop-specific workflow is straightforward, but the skill assumes Rube MCP access. Beginners may get blocked not by the skill itself, but by MCP configuration or Sendloop authorization.

How is this better than an ordinary Sendloop prompt?

An ordinary prompt may ask Claude to infer Sendloop capabilities from memory. The sendloop-automation skill tells Claude to query RUBE_SEARCH_TOOLS first, so actions are based on the current Composio toolkit schema. That is especially important for automation where wrong field names or missing IDs can cause failed or unintended operations.

Can it write email campaign content?

It can help coordinate Sendloop operations, but it is not primarily a copywriting skill. If your main need is subject lines, segmentation strategy, deliverability review, or newsletter copy, pair this with a dedicated email marketing or editorial skill and use sendloop-automation only for the Sendloop execution layer.

When should I not use this skill?

Do not use it when you lack an active Sendloop connection, cannot enable Rube MCP, or need offline planning only. Also avoid using it for bulk destructive changes unless your prompt requires a preview, validation step, and explicit confirmation before execution.

How to Improve sendloop-automation skill

Improve sendloop-automation results with better inputs

The skill performs best when your prompt includes:

• The exact Sendloop object you want to work with: campaign, list, subscriber, contact, segment, or report
• Known identifiers such as list IDs, campaign IDs, or contact emails
• Whether the task is read-only or allowed to write changes
• Required approval points before execution
• Expected output format, such as a table, summary, or tool-call plan

Example:

Use sendloop-automation. Search tools for managing Sendloop subscribers. I need to update subscription status for these 25 emails. This is a write operation, so first validate the required schema, identify any missing fields, and show a dry-run table. Wait for my approval before calling any update tool.

Common failure modes to prevent

The most common failure is skipping discovery and assuming a tool schema. Prevent this by explicitly saying “call RUBE_SEARCH_TOOLS first.” Another failure is asking for a list or campaign by human-readable name when the tool requires an ID. Ask the agent to resolve or request IDs before writing.

For bulk operations, add batching and review instructions. For example: “process in batches of 50,” “stop on the first validation error,” or “summarize successes and failures separately.”

Iterate after the first output

After the first tool discovery response, refine the task around the actual returned schema. If the tool requires fields you did not provide, do not let the agent guess. Supply the missing values or ask it to produce a collection template you can fill.

Useful follow-up:

Based on the discovered Sendloop schema, create the minimal CSV columns needed for this operation. Mark required columns, optional columns, and any values that must be looked up before execution.

Practical extension ideas

To make sendloop-automation stronger for team use, add local prompt snippets for your recurring Sendloop workflows: campaign creation, list cleanup, import validation, reporting, and approval rules. Keep those snippets separate from credentials, and include your organization’s safety defaults, such as “never delete contacts without confirmation” or “always preview audience count before sending.”