proxiedmail-automation
by ComposioHQRube MCP workflow guidance for proxiedmail-automation, covering setup, tool discovery with RUBE_SEARCH_TOOLS, connection checks, and safe Proxiedmail usage.
This skill scores 64/100, which makes it acceptable but limited for directory listing. Directory users get a usable trigger and basic operational pattern for Proxiedmail automation through Rube MCP, but should expect a thin skill that relies on live tool discovery rather than providing detailed Proxiedmail-specific workflows.
- Valid frontmatter declares the required `rube` MCP dependency and a clear purpose: automating Proxiedmail via Composio/Rube MCP.
- Prerequisites and setup steps explain how to connect Rube MCP, manage the `proxiedmail` connection, and confirm ACTIVE status before use.
- The skill repeatedly instructs agents to call `RUBE_SEARCH_TOOLS` first, which reduces schema guesswork and helps keep execution aligned with current tool definitions.
- No support files, scripts, references, or README are included beyond SKILL.md, so adoption depends entirely on the written MCP workflow.
- The content appears to be mostly a generic Rube MCP discovery pattern and does not document concrete Proxiedmail task examples or tool-specific parameters.
Overview of proxiedmail-automation skill
What proxiedmail-automation does
proxiedmail-automation is a Claude skill for automating Proxiedmail workflows through Composio’s Rube MCP server. It is designed to help an agent discover the current Proxiedmail tool schemas, verify the user’s Proxiedmail connection, and then execute email-alias or proxy-email operations through the available Rube tools instead of guessing tool names or inputs.
Best fit for Workflow Automation users
This proxiedmail-automation skill is most useful when you want repeatable Proxiedmail operations inside an AI-assisted workflow: checking available Proxiedmail actions, creating or managing proxy mail resources, or chaining Proxiedmail tasks with other MCP-enabled automation. It fits users who already work with Claude skills, MCP servers, and Composio/Rube-style tool calling.
Key differentiator: search tools first
The important design choice is that the skill does not hard-code Proxiedmail tool schemas. It instructs the agent to call RUBE_SEARCH_TOOLS first for the current schema, tool slugs, execution plan, and pitfalls. That matters because Composio tool schemas can change; using discovery first reduces failed calls caused by stale examples.
Adoption requirements to check first
Before installing, confirm that your client can use MCP and that Rube MCP is available. The skill requires the rube MCP server, an active Proxiedmail connection through RUBE_MANAGE_CONNECTIONS, and a workflow where the agent is allowed to call external tools. If you only need general advice about disposable email or Proxiedmail concepts, a normal prompt is enough.
How to Use proxiedmail-automation skill
proxiedmail-automation install and setup path
Install the skill from the Composio skills repository, then add Rube MCP to your client configuration:
https://rube.app/mcp
A typical install command is:
npx skills add ComposioHQ/awesome-claude-skills --skill proxiedmail-automation
After installation, verify that RUBE_SEARCH_TOOLS is available. Then call RUBE_MANAGE_CONNECTIONS with toolkit proxiedmail. If the connection is not ACTIVE, complete the returned authorization flow before asking the agent to run Proxiedmail actions.
Inputs the skill needs from you
For reliable proxiedmail-automation usage, give the agent the real operational goal, not just “use Proxiedmail.” Include:
- The Proxiedmail task you want completed
- Any known account, alias, domain, recipient, label, or forwarding details
- Whether the agent may create, update, delete, or only inspect resources
- Any safety constraints, such as “do not delete existing aliases”
- Desired output format, such as a summary, table, or audit log
Weak prompt: “Set up Proxiedmail.”
Stronger prompt: “Use proxiedmail-automation to discover current Proxiedmail tools, verify my connection, then create a new proxy email for newsletter signups. Do not delete or modify existing aliases. Return the tool plan before execution and summarize the final alias, forwarding target, and any warnings.”
Recommended workflow for first run
Start with a dry, discovery-first workflow:
- Ask the agent to read
composio-skills/proxiedmail-automation/SKILL.md. - Ask it to call
RUBE_SEARCH_TOOLSwith your specific use case. - Confirm that
RUBE_MANAGE_CONNECTIONSshows toolkitproxiedmailas active. - Review the proposed tool call plan before execution.
- Run the Proxiedmail operation.
- Ask for a final state summary and any follow-up actions.
This sequence is slower than a direct call, but it is safer for first-time use because it confirms both schema and authentication before touching your Proxiedmail resources.
Repository files to read first
The repository path is:
composio-skills/proxiedmail-automation
The main file to inspect is SKILL.md. There are no extra scripts/, resources/, references/, or rules/ directories in the evidence provided, so the skill’s behavior is concentrated in that one file. Pay special attention to the prerequisites, setup, tool discovery, and core workflow pattern sections.
proxiedmail-automation skill FAQ
Is proxiedmail-automation beginner friendly?
It is beginner friendly only if you already understand your AI client’s MCP setup. The Proxiedmail task itself can be simple, but the skill depends on Rube MCP, tool discovery, and connection authorization. If you have never configured an MCP server, budget time for setup before expecting automation to work.
How is it different from a normal prompt?
A normal prompt can describe Proxiedmail workflows, but it cannot reliably know the current Composio tool schemas or execute authenticated actions. The proxiedmail-automation skill tells the agent to use RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS, which makes it more suitable for real Workflow Automation where current schemas and active connections matter.
When should I not use this skill?
Do not use it for tasks unrelated to Proxiedmail, for one-off conceptual explanations, or when your client cannot connect to MCP tools. Also avoid it if you are not comfortable granting an AI agent access to authenticated email-alias operations. In those cases, use Proxiedmail’s own dashboard or documentation manually.
Does it include ready-made scripts?
No. The repository evidence shows only SKILL.md for this skill. That is not necessarily a weakness: the core value is orchestration guidance for Rube MCP. But if you need local scripts, tests, or reusable command-line automation, you will need to build those around the discovered Rube tools.
How to Improve proxiedmail-automation skill
Give proxiedmail-automation stronger task context
The best improvement comes from better user instructions. Instead of asking for a generic Proxiedmail action, specify the business purpose and constraints. For example: “Create a proxy address for a vendor trial, forward it to my work inbox, label it vendor-eval, and show me the exact resource created. Do not change existing forwarding rules.”
Prevent common failure modes
Most failures will come from skipping discovery, using an inactive connection, or assuming stale tool inputs. In your prompt, explicitly require the agent to call RUBE_SEARCH_TOOLS first and to check RUBE_MANAGE_CONNECTIONS before execution. If the tool schema returned by Rube conflicts with an example, trust the discovered schema.
Iterate after the first output
After the first run, ask for a structured review: what tool was selected, what inputs were used, what changed in Proxiedmail, and what could not be verified. This makes the next proxiedmail-automation usage safer, especially for update or delete operations. For sensitive workflows, require a “plan first, execute after approval” pattern.
Extend the skill for team workflows
Teams can improve the skill by adding internal conventions around naming, labeling, allowed domains, approval rules, and audit summaries. A useful extension would be a short local checklist: required alias purpose, owner, forwarding destination, retention policy, and whether deletion is permitted. These additions make the skill more predictable without changing its core Rube MCP discovery model.