gatherup-automation
by ComposioHQgatherup-automation helps Claude automate GatherUp workflows through Composio Rube MCP, with live tool discovery, connection checks, and current schema validation before execution.
This skill scores 66/100, which makes it acceptable for listing but limited. Directory users can understand when to use it and how an agent should start with Rube MCP for Gatherup automation, but they should expect to rely heavily on live tool discovery because the repository provides little Gatherup-specific workflow detail or examples.
- Frontmatter is valid and clearly identifies the trigger domain: automating Gatherup tasks through Rube MCP/Composio.
- Prerequisites and setup steps are explicit, including the need for RUBE_SEARCH_TOOLS and an ACTIVE Gatherup connection via RUBE_MANAGE_CONNECTIONS.
- The skill gives a repeatable core pattern: discover tools, check connection, then execute using current schemas rather than stale hardcoded assumptions.
- No support files, examples, or concrete Gatherup task recipes are included; the skill largely delegates specifics to RUBE_SEARCH_TOOLS at runtime.
- Installation/adoption guidance is limited to adding the Rube MCP endpoint and activating a Gatherup connection; there is no repository README or install command.
Overview of gatherup-automation skill
What gatherup-automation does
gatherup-automation is a Claude skill for automating GatherUp work through Composio’s Rube MCP server. It is built around a key operating rule: search the live Rube tool catalog before taking action, because GatherUp tool names, schemas, and required fields may change.
Use this skill when you want an AI agent to help with GatherUp-related workflow automation rather than manually guessing API actions or writing ad hoc integration logic.
Best-fit users and jobs
The gatherup-automation skill is best for operators, support teams, local marketing teams, and automation builders who already use GatherUp and want Claude to execute or plan tasks through an authenticated MCP connection.
It fits jobs such as:
- Finding the right GatherUp action available through Composio
- Checking whether the GatherUp connection is active
- Turning a business request into a safe tool-execution plan
- Running repeatable GatherUp operations through Rube MCP
Main differentiator: live tool discovery first
The important difference from an ordinary prompt is that gatherup-automation instructs the agent to call RUBE_SEARCH_TOOLS first. That matters because the skill does not hard-code a static GatherUp API shape. Instead, it asks Rube for the current available tools, input schemas, execution plans, and pitfalls before calling anything.
This makes the skill more reliable for Workflow Automation where stale field names or missing authentication are common failure points.
What to check before installing
Before installing, confirm you can use MCP tools in your Claude-compatible client and can add the Rube MCP endpoint:
https://rube.app/mcp
The upstream skill is compact and consists primarily of SKILL.md; it does not include helper scripts, examples, or extra reference files. That is fine if you need a focused MCP workflow pattern, but it means you should be comfortable validating tool schemas at runtime.
How to Use gatherup-automation skill
gatherup-automation install context
If your skill manager supports GitHub skill installation, install from the Composio skill repository, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill gatherup-automation
Then configure Rube MCP in your client by adding:
https://rube.app/mcp
No separate API key is required for adding the MCP endpoint, but you still need an active GatherUp connection through Rube. The skill expects RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS to be available.
Required setup before running tasks
A practical gatherup-automation usage flow starts with connection verification:
- Confirm
RUBE_SEARCH_TOOLSresponds. - Call
RUBE_MANAGE_CONNECTIONSwith toolkitgatherup. - If the GatherUp connection is not
ACTIVE, follow the returned authentication link. - Re-check connection status before executing any GatherUp operation.
- Only then search for task-specific tools and run the chosen action.
This sequence prevents the most common failure mode: asking the agent to automate GatherUp before the MCP server knows which authenticated account to use.
Turn a rough goal into a strong prompt
Weak prompt:
Update my GatherUp stuff.
Stronger prompt:
Use the gatherup-automation skill. First search Rube tools for the current GatherUp schema. Check whether the
gatherupconnection is active. I want to automate [specific task]. Use these known details: [business/location/customer/review/request fields]. Before executing, show the selected tool, required inputs, missing fields, and any risk of changing live GatherUp data.
This works better because the agent receives the business intent, the required discovery behavior, the connection constraint, and a checkpoint before mutation.
Files and repository reading path
Start with:
SKILL.md
There are no visible README.md, metadata.json, resources/, references/, rules/, or scripts/ files in this skill folder. Read SKILL.md for the canonical workflow: prerequisites, setup, tool discovery, and the core pattern of searching tools before execution.
For deeper platform context, use the linked toolkit documentation:
https://composio.dev/toolkits/gatherup
gatherup-automation skill FAQ
Is gatherup-automation useful without Rube MCP?
No. The gatherup-automation skill depends on Rube MCP. If your client cannot expose MCP tools such as RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS, the skill becomes mostly a planning prompt and cannot reliably execute GatherUp automation.
How is this better than a normal GatherUp prompt?
A normal prompt may invent endpoints, assume old schemas, or skip authentication checks. This skill tells the agent to discover current tools first, inspect required inputs, and confirm the GatherUp connection before workflow execution. That is the main practical value.
Is this beginner-friendly?
It is beginner-friendly if you already have a Claude client with MCP support and can follow an authentication link. It is less friendly if you expect a one-click GatherUp app with prebuilt workflows, dashboards, or example automations. The skill is a lightweight execution pattern, not a full product UI.
When should I not use this skill?
Do not use it for unsupported GatherUp tasks, bulk changes you cannot review, or workflows where you cannot provide enough identifiers and context. Also avoid using it when you need offline documentation-only guidance; its strongest behavior depends on live Rube tool discovery.
How to Improve gatherup-automation skill
Improve gatherup-automation results with clearer inputs
The skill performs best when you provide operational details up front:
- The exact GatherUp task you want completed
- Known business, location, customer, review, or campaign identifiers
- Whether the action should only inspect data or modify it
- Any approval step required before execution
- Expected output format, such as a summary, CSV-ready table, or action log
Clear inputs help the agent choose the right Rube tool after discovery instead of asking multiple follow-up questions.
Avoid common failure modes
The most common problems are skipped tool discovery, inactive connections, vague goals, and unsafe live changes. Prevent them by explicitly asking the agent to:
- Call
RUBE_SEARCH_TOOLSbefore selecting a tool - Confirm the
gatherupconnection isACTIVE - List required fields and missing inputs
- Summarize the execution plan before making changes
- Separate read-only checks from write actions
This is especially important for Workflow Automation because small schema or account-context mistakes can affect real customer or reputation-management data.
Iterate after the first output
After the first result, do not simply rerun the same prompt. Ask the agent to refine based on what the tool returned:
Based on the discovered GatherUp tools and required schema, identify missing fields, ask only for what is required, then produce the safest next execution step.
For recurring workflows, save the final prompt pattern, required identifiers, and approval rules so future gatherup-automation usage is faster and more consistent.
Add local guardrails for your team
If you adapt the skill internally, add team-specific rules around destructive actions, customer data handling, naming conventions, and approval thresholds. The upstream skill intentionally stays general; your installation can become much more reliable by documenting which GatherUp actions are allowed, which require review, and which should never be automated.
