retailed-automation
by ComposioHQretailed-automation helps agents automate Retailed workflows through Rube MCP by discovering current tool schemas, checking an ACTIVE connection, and executing with required inputs.
This skill scores 64/100, which means it is acceptable to list but should be presented as a lightweight connector guide rather than a fully developed automation workflow. Directory users get enough information to understand that it enables Retailed operations through Composio's Rube MCP and how an agent should begin tool discovery and connection setup, but they should expect to supply their own task-specific details after installation.
- Frontmatter is valid and clearly declares the MCP dependency on Rube plus a concise automation purpose for Retailed.
- Provides actionable prerequisites and setup steps, including checking `RUBE_SEARCH_TOOLS`, using `RUBE_MANAGE_CONNECTIONS`, and confirming an active Retailed connection.
- Explicitly instructs agents to search tools first for current schemas, which reduces schema drift risk when invoking Composio/Rube tools.
- No support files, scripts, references, or bundled examples beyond SKILL.md, so users must rely on live Rube tool discovery and external toolkit docs.
- Workflow guidance appears mostly generic to Rube MCP and does not show concrete Retailed-specific tasks, inputs, outputs, or edge cases.
Overview of retailed-automation skill
What retailed-automation does
retailed-automation is a Claude skill for automating Retailed operations through Composio’s Rube MCP server. Its main value is not a fixed set of hard-coded actions; it teaches the agent to first discover the current Retailed tool schemas with RUBE_SEARCH_TOOLS, verify an active Retailed connection, and then execute the appropriate MCP tool with the right inputs.
Use this skill when you want an AI agent to operate against the live Retailed toolkit rather than draft instructions you still have to perform manually.
Best fit for Workflow Automation users
The retailed-automation skill is best for users who already use Claude or another MCP-capable client and want Retailed actions embedded into repeatable workflows. It fits tasks such as checking available Retailed operations, preparing execution plans, running authenticated actions, and reducing guesswork around changing API/tool schemas.
It is especially useful for Workflow Automation because the skill emphasizes tool discovery, connection state, execution order, and schema validation before acting.
Key differentiator: schema-first execution
The most important rule in this skill is: always search tools first. Rube MCP tool schemas may change, and the skill is designed to prevent stale prompts from calling the wrong tool name or sending incomplete fields. A generic prompt might say “update this in Retailed”; retailed-automation pushes the agent to discover the available Retailed tools, inspect required fields, confirm authentication, and only then execute.
Adoption considerations before install
This is a small, single-file skill with no bundled scripts, examples, or reference assets. That keeps it lightweight, but it also means your results depend heavily on your MCP setup and prompt quality. You need Rube MCP available, RUBE_SEARCH_TOOLS responding, and an active Retailed connection created through RUBE_MANAGE_CONNECTIONS.
How to Use retailed-automation skill
retailed-automation install and setup path
Install the skill in a compatible Claude skills environment, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill retailed-automation
Then configure Rube MCP in your client by adding:
https://rube.app/mcp
After MCP is available, verify that the agent can call RUBE_SEARCH_TOOLS. Next, use RUBE_MANAGE_CONNECTIONS with toolkit retailed. If the connection is not ACTIVE, complete the returned authorization flow before asking the agent to perform any Retailed operation.
Files to read before first use
Start with:
composio-skills/retailed-automation/SKILL.md
There are no extra README.md, scripts/, resources/, or references/ folders in this skill, so the operational guidance is concentrated in SKILL.md. Pay particular attention to the sections on prerequisites, setup, tool discovery, connection checking, and the core workflow pattern.
Prompt inputs that improve execution quality
A weak prompt is:
“Automate my Retailed task.”
A stronger retailed-automation usage prompt is:
“Use the retailed-automation skill. First call
RUBE_SEARCH_TOOLSfor this use case: [specific Retailed task]. Check whether theretailedconnection is ACTIVE. If active, choose the safest matching tool, show me the required input schema, ask for any missing required fields, then execute only after I confirm.”
Provide the agent with:
- The exact Retailed task you want completed
- Known identifiers, names, filters, dates, or status values
- Whether the task is read-only or should modify data
- Any approval rule before write actions
- Expected output format, such as a summary, table, or execution log
Practical workflow for safer automation
Use this sequence for most tasks:
- Ask the skill to discover tools for the exact Retailed use case.
- Confirm the Retailed connection is active.
- Have the agent summarize the matching tool, required fields, and risks.
- Provide missing inputs.
- Approve execution for write or irreversible actions.
- Ask for a concise result summary with tool name, inputs used, and returned status.
This pattern matters because the skill depends on live Rube MCP discovery, not a static list of Retailed actions.
retailed-automation skill FAQ
Is retailed-automation useful without Rube MCP?
No. The skill requires Rube MCP and expects RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS to be available. Without those MCP tools, it becomes only a planning note and cannot reliably execute Retailed workflows.
How is this better than an ordinary prompt?
An ordinary prompt may rely on assumptions about Retailed APIs or tool names. The retailed-automation skill adds a disciplined execution pattern: discover current tools, inspect schemas, verify the Retailed connection, then act. That reduces failed calls caused by stale fields, missing authentication, or ambiguous user intent.
Is the retailed-automation skill beginner-friendly?
It is beginner-friendly if your MCP client is already configured, but not if you are new to MCP connections. The skill itself is short and direct, yet successful use requires understanding that the agent must call MCP tools and may need you to complete an external authorization link.
When should I not use this skill?
Do not use it for tasks outside the Retailed toolkit, for unauthenticated planning where no live action is needed, or when you cannot allow the agent to access connected Retailed data. For sensitive write operations, require a preview and explicit approval before execution.
How to Improve retailed-automation skill
Improve retailed-automation results with clearer task scope
The fastest way to improve results is to narrow the use case before tool discovery. Instead of “manage Retailed,” say “find the available tool for [specific object/action], using these filters, and do not make changes yet.” This helps RUBE_SEARCH_TOOLS return a more relevant schema and execution plan.
For write actions, include the business rule behind the change. The agent can then check whether the selected tool actually supports the intended operation.
Common failure modes to prevent
Common issues include asking for action before the Retailed connection is active, skipping RUBE_SEARCH_TOOLS, providing incomplete required fields, or using vague object names that map to multiple records. Another failure mode is treating discovered schemas as permanent; they should be refreshed at the start of each new workflow or session.
A safe instruction is:
“If the schema is missing, ambiguous, or the connection is inactive, stop and ask me for the next step instead of guessing.”
Iteration after the first output
After the first tool discovery or execution result, ask the agent to refine the workflow:
- “Which fields are required versus optional?”
- “What assumptions did you make?”
- “What would make this safer before execution?”
- “Can this be converted into a repeatable checklist?”
This turns retailed-automation from a one-off tool call into a reusable Workflow Automation pattern.
Suggested skill enhancements for teams
Teams can improve the skill by adding local examples for their most common Retailed workflows, approval rules for destructive actions, and prompt templates for read-only versus write operations. A useful extension would be a small reference file listing approved task patterns, required human confirmations, and expected reporting format after each MCP execution.