simplesat-automation
by ComposioHQsimplesat-automation helps agents automate Simplesat workflows through Composio Rube MCP by searching current tool schemas first, checking connection status, and planning safe execution.
This skill scores 66/100, which means it is acceptable to list but should be presented as a lightweight connector-oriented skill rather than a deeply guided automation package. Directory users get enough evidence to know it is for Simplesat automation via Rube MCP, with clear setup and discovery requirements, but they should expect to rely on live tool discovery for specific operations rather than rich built-in workflow examples.
- Valid frontmatter clearly names the skill and states the trigger/use case: automating Simplesat tasks through Rube MCP/Composio.
- Prerequisites and setup steps identify the required Rube MCP server, Simplesat connection, and the need to verify ACTIVE connection status before workflows.
- Operational pattern tells agents to call RUBE_SEARCH_TOOLS first for current schemas, reducing schema guesswork when tools change.
- No support files, scripts, references, or README beyond SKILL.md, so adoption relies entirely on the short skill instructions.
- Workflow guidance appears mostly generic to Rube MCP tool discovery and connection management, with limited concrete Simplesat-specific task examples.
Overview of simplesat-automation skill
What simplesat-automation does
simplesat-automation is a Claude skill for automating Simplesat work through Composio’s Rube MCP server. It is not a standalone Simplesat SDK wrapper; it guides an AI agent to discover the current Composio Simplesat tools, verify the Simplesat connection, and then execute tasks using live MCP tool schemas instead of stale hardcoded assumptions.
The core job is practical Workflow Automation: reduce manual clicks around Simplesat operations while keeping the agent grounded in the available Rube tools.
Best-fit users and workflows
This skill is most useful if you already use Simplesat and want Claude or another compatible agent to help with repeatable support, customer experience, survey, feedback, or reporting tasks. It fits teams that prefer agent-driven workflows but still need tool discovery, connection checks, and schema validation before execution.
Choose simplesat-automation when your task depends on the current Composio Simplesat toolkit state, such as finding available actions, checking connection readiness, or turning a business request into a safe tool execution plan.
Key differentiator: search tools first
The important design choice in the simplesat-automation skill is its insistence on calling RUBE_SEARCH_TOOLS before acting. That matters because MCP tool names, required fields, and execution details can change. A generic prompt may guess an action; this skill pushes the agent to fetch current schemas, recommended plans, and known pitfalls first.
Adoption requirements and limits
You need Rube MCP available in your client and an active Simplesat connection through Composio. The upstream skill contains a single SKILL.md and no helper scripts, rules, or reference files, so adoption is lightweight but depends heavily on your MCP setup being correct. If your environment cannot use Rube MCP, this skill will not add much value.
How to Use simplesat-automation skill
simplesat-automation install and setup path
Install the skill in a compatible skills environment, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill simplesat-automation
Then configure Rube MCP in your AI client by adding:
https://rube.app/mcp
Before asking for Simplesat automation, confirm that RUBE_SEARCH_TOOLS is available. Use RUBE_MANAGE_CONNECTIONS with toolkit simplesat and complete the returned authorization flow if the connection is not ACTIVE. Do not proceed to execution until the Simplesat connection is active.
Inputs the skill needs from you
For good simplesat-automation usage, give the agent the business goal, target objects, constraints, and success criteria. Weak input is: “Automate Simplesat.” Strong input is:
“Use simplesat-automation to find the current Rube tools for Simplesat, check whether my Simplesat connection is active, and propose an execution plan to export recent survey feedback for the last 30 days. Do not run any write actions until I approve the discovered tool schema and required fields.”
This improves output because the agent can search for the right tool use case, preserve safety boundaries, and ask for missing fields before acting.
Practical workflow for a first run
Start by opening composio-skills/simplesat-automation/SKILL.md; it is the main source file. The recommended flow is:
- Ask the agent to call
RUBE_SEARCH_TOOLSfor your specific Simplesat task. - Reuse the returned session ID for follow-up discovery.
- Check or establish the Simplesat connection with the Rube connection management tool.
- Review the returned tool slug, input schema, and recommended plan.
- Approve execution only after required fields and side effects are clear.
A good prompt should include whether the task is read-only, whether writes are allowed, the date range, identifiers, and what output format you expect.
Prompt pattern that triggers the skill well
Use a direct invocation plus operational constraints:
“Use the simplesat-automation skill for Workflow Automation. First search Rube tools for: ‘retrieve Simplesat survey responses and summarize low-score feedback.’ Then check the Simplesat connection status. Show me the available tool slugs, required schema fields, and a safe step-by-step plan before executing anything.”
This prompt works better than a broad request because it aligns with the skill’s discovery-first pattern and prevents premature tool calls.
simplesat-automation skill FAQ
Is simplesat-automation useful without Rube MCP?
No. The skill requires Rube MCP and depends on tools such as RUBE_SEARCH_TOOLS and Rube connection management. Without that MCP server and an active Simplesat connection, the skill cannot perform its main function.
How is this better than an ordinary Simplesat prompt?
An ordinary prompt may invent API fields or assume old tool schemas. simplesat-automation tells the agent to discover current Composio Simplesat tools first, then work from the returned schema. That reduces guesswork and is especially useful when automating actions that may affect live customer feedback data.
Is this skill beginner-friendly?
It is beginner-friendly for users who can configure an MCP server, but not for someone expecting a one-click Simplesat integration. The main concepts to understand are MCP availability, toolkit connection status, tool discovery, and approving actions after the schema is known.
When should I not use this skill?
Do not use it if you need a full custom Simplesat application, direct API development, offline data processing, or automation outside the Composio/Rube ecosystem. It is also a poor fit when your organization requires manual approval for every customer data operation and cannot allow agent-mediated tool access.
How to Improve simplesat-automation skill
Improve simplesat-automation results with better task framing
The biggest quality lever is specificity. Include the Simplesat object or workflow, time range, whether the task is read-only or write-capable, and the desired output. For example, “summarize negative CSAT comments from the last 14 days by product area” gives the agent a clearer discovery query than “analyze feedback.”
Common failure modes to watch
The most common failure is skipping tool discovery and guessing a tool call. Another is continuing after the Simplesat connection is not active. A third is giving vague goals that do not map to a clear Rube use case. If the first output looks generic, ask the agent to show the exact RUBE_SEARCH_TOOLS query, returned tool slug, required fields, and missing inputs.
Iterate after the first tool discovery
After discovery, refine the plan before execution. Ask: “Which fields are required, which are optional, and which actions could change Simplesat data?” For read-heavy workflows, request a dry-run plan or a sample output shape. For write workflows, require an approval checkpoint before any action that creates, updates, or deletes data.
Repository-aware improvement path
Because the upstream package is centered on SKILL.md, advanced users can improve their local workflow by adding organization-specific prompt snippets, approval rules, or examples beside the installed skill. Useful additions include standard date ranges, naming conventions, allowed Simplesat operations, and escalation rules for customer data handling. Keep those additions separate from the core discovery-first instruction so simplesat-automation remains aligned with current Rube schemas.