control-d-automation
by ComposioHQcontrol-d-automation helps Claude automate Control D tasks through Composio's Rube MCP by verifying the control_d connection, discovering current tool schemas, and executing safer workflow automation.
This skill scores 68/100, which means it is acceptable for listing but should be presented as a lightweight Rube MCP routing guide rather than a full Control D automation playbook. Directory users get enough information to know when to install it and how an agent should start, but they should expect to depend on live tool discovery for most operational detail.
- Clear purpose and trigger: automate Control D operations through Composio's Control D toolkit via Rube MCP.
- Includes concrete prerequisites and setup steps for connecting Rube MCP and activating the `control_d` toolkit connection.
- Explicitly instructs agents to call `RUBE_SEARCH_TOOLS` first to retrieve current schemas, reducing schema guesswork for a changing external toolkit.
- Relies almost entirely on live Rube tool discovery rather than bundled Control D-specific examples, so users must already be comfortable with MCP-driven workflows.
- No install command or support files are provided, and the excerpt shows inconsistent connection tool naming between `RUBE_MANAGE_CONNECTIONS` and `RUBE_MANAGE_CONNECTION`.
Overview of control-d-automation skill
What control-d-automation is for
control-d-automation is a Claude skill for automating Control D tasks through Composio’s Control D toolkit using Rube MCP. It is designed for users who want an agent to discover current Control D tool schemas, verify an authenticated Control D connection, and execute DNS/profile/filtering-related operations through MCP rather than relying on static API assumptions.
The main value of the control-d-automation skill is not a large script library; it is the operating pattern: connect Rube MCP, authenticate the control_d toolkit, search available tools first, then run the right tool with the current schema.
Best-fit users and workflows
This skill fits teams already using Claude with MCP and looking to automate Control D administration tasks such as inspecting available Control D actions, preparing changes, or running repeatable account/profile operations through Composio. It is especially useful when the tool schema may change and you want the model to query Rube before taking action.
It is less useful if you need a standalone Control D CLI, offline scripts, or direct REST API examples. The repository contains only SKILL.md, so adoption depends on having Rube MCP available in your client.
Key differentiators for install decisions
The important differentiator is the “search tools first” workflow. Instead of hard-coding Control D operations, the skill instructs the agent to call RUBE_SEARCH_TOOLS for the specific use case and use returned slugs, schemas, execution plans, and pitfalls.
That makes control-d-automation better suited to live workflow automation than a generic “help me use Control D” prompt, provided your environment supports MCP tool calls and the Control D connection is active.
How to Use control-d-automation skill
control-d-automation install context
Install the skill from the Composio skills repository with:
npx skills add ComposioHQ/awesome-claude-skills --skill control-d-automation
Then configure Rube MCP in your client by adding https://rube.app/mcp as an MCP server. The upstream skill states that no API key is needed for the MCP endpoint itself, but you still need an active Control D connection through Rube.
Before asking for any Control D operation, confirm that RUBE_SEARCH_TOOLS is available. Then use RUBE_MANAGE_CONNECTIONS with toolkit control_d and complete the returned auth flow if the connection is not ACTIVE.
Inputs the skill needs before running tools
A strong control-d-automation usage prompt should include:
- The exact Control D task you want completed
- Whether the agent should only inspect, draft, or execute changes
- The account, profile, resolver, rule, or setting context if you know it
- Safety boundaries, such as “do not delete records” or “ask before applying”
- Any desired output format, such as a change plan, audit summary, or JSON table
Weak prompt: “Update my Control D settings.”
Better prompt: “Use control-d-automation for Workflow Automation. First search Rube tools for current Control D schemas. Check that the control_d connection is active. Then list available profiles and propose how to add a blocking rule for social media on the family profile. Do not execute changes until I approve the plan.”
Recommended workflow after installation
Start by reading composio-skills/control-d-automation/SKILL.md; it is the only source file and contains the required MCP sequence. In practice, run the workflow in four steps:
- Call
RUBE_SEARCH_TOOLSwith the specific Control D use case. - Check or create the Control D connection using Rube connection management.
- Select the returned tool slug and schema instead of guessing parameters.
- Execute only after validating the target resource and requested action.
Keep the same Rube session ID across discovery and execution when possible, because the returned plan and schemas are tied to that discovery context.
Practical prompting tips
Ask the agent to show the discovered tool name, required fields, and planned action before execution. This reduces accidental use of stale assumptions and makes the automation auditable.
For potentially destructive changes, use a two-phase prompt: first “discover and plan,” then “execute the approved plan.” This skill can help automate Control D operations, but it does not replace your responsibility to verify which profile, endpoint, or DNS policy is being changed.
control-d-automation skill FAQ
Is control-d-automation beginner-friendly?
It is beginner-friendly only if your Claude client already supports MCP and you are comfortable completing a Rube connection flow. The skill explains the required sequence, but it does not provide screenshots, a README, or fallback instructions for non-MCP environments.
How is this different from an ordinary Control D prompt?
A generic prompt may hallucinate API fields or assume outdated endpoints. The control-d-automation skill explicitly instructs the agent to call RUBE_SEARCH_TOOLS first, obtain current schemas from Composio, and then use the active control_d connection. That makes it safer for live workflow automation than static advice.
When should I not use this skill?
Do not use it when you need offline automation, direct Control D API code, or a fully documented operations runbook. Also avoid live execution prompts when you cannot verify the target account, profile, or rule. Use read-only discovery first if you are unsure.
What should I inspect before installing?
Preview SKILL.md in the GitHub path composio-skills/control-d-automation. Confirm that your environment can add MCP servers, expose RUBE_SEARCH_TOOLS, and authenticate the control_d toolkit. There are no bundled scripts or reference files to adapt.
How to Improve control-d-automation skill
Improve control-d-automation prompts with stronger context
The highest-impact improvement is giving the agent precise operational context. Instead of asking for “Control D automation,” specify the object, intended change, approval rules, and evidence you want returned.
Example: “Search current Control D tools, verify connection status, then produce a table of profiles with their IDs and relevant filtering settings. Do not modify anything. After discovery, recommend the safest tool call to update the work profile’s blocklist.”
This gives the skill enough context to search the right schema and avoid premature execution.
Common failure modes to prevent
The main failure mode is skipping tool discovery and guessing a schema. Prevent this by explicitly requiring RUBE_SEARCH_TOOLS before any Control D action.
Another common issue is connection ambiguity. Ask the agent to confirm the control_d connection is ACTIVE before planning execution. If the connection flow returns an auth link, complete it before continuing; otherwise, later tool calls may fail or operate without the expected account context.
Iterate after the first output
Treat the first response as a discovery pass. Review the returned tool slugs, required fields, account context, and proposed execution plan. Then narrow the task: approve one action, change the target profile, add constraints, or request a dry-run-style summary if the available tools support it.
For production changes, ask for a before/after summary and a rollback note. Even when the skill executes correctly, clear change records matter more than speed.
What maintainers could add next
The skill would be stronger with example prompts for common Control D workflows, a short troubleshooting section for inactive connections, and sample outputs from RUBE_SEARCH_TOOLS. A small README.md could also clarify the difference between RUBE_MANAGE_CONNECTIONS setup and task execution, helping new users adopt control-d-automation with less guesswork.