humanitix-automation
by ComposioHQhumanitix-automation helps Claude run Humanitix operations through Composio Rube MCP. Set up Rube, confirm an active Humanitix connection, and search tools first for current schemas before workflow execution.
This skill scores 68/100, which means it is acceptable for listing but should be presented as a lightweight connector-oriented skill rather than a fully worked Humanitix playbook. Directory users get enough information to know when to install it—if they use Rube MCP and need Humanitix automation—but should expect the agent to rely heavily on live tool discovery for task details.
- Valid frontmatter and a clear description identify the trigger: automate Humanitix tasks through Rube MCP/Composio.
- Prerequisites and setup steps explain that RUBE_SEARCH_TOOLS must be available and that users must authenticate the Humanitix toolkit connection.
- The skill gives a repeatable operating pattern: discover tools first, check the connection, then use current schemas rather than hard-coded assumptions.
- No support files, examples, scripts, or Humanitix-specific reference workflows are included beyond the single SKILL.md.
- Execution depends on Rube MCP tool discovery and an active Humanitix connection, so users without that setup will not get immediate value.
Overview of humanitix-automation skill
What humanitix-automation is for
humanitix-automation is a Claude skill for running Humanitix event-operations tasks through Composio’s Rube MCP toolkit. Instead of asking an agent to guess Humanitix API fields, the skill tells it to discover the current Rube tools first, confirm the Humanitix connection, and then execute the requested workflow with the latest schemas.
Best-fit users and jobs
This skill is a strong fit for event teams, operations assistants, and AI builders who want Claude to help with Humanitix workflows such as finding events, checking attendee or order data, updating event-related records, or preparing automation steps around Humanitix. It is most useful when the user already has Humanitix access and wants a tool-connected agent, not just written instructions.
What makes this skill different
The key differentiator is the “search tools first” pattern. Humanitix tool names and fields may change, so humanitix-automation pushes the agent to call RUBE_SEARCH_TOOLS before taking action. That reduces brittle prompts, avoids stale parameter assumptions, and gives the model a current execution plan before it touches live event data.
Adoption requirements and limits
This is not a standalone Humanitix app. It requires Rube MCP, an active Humanitix connection through Composio, and a client that can use MCP tools. If you only need a one-off explanation of how Humanitix works, a normal prompt is enough. If you want live operations against your account, the humanitix-automation skill is a better fit.
How to Use humanitix-automation skill
humanitix-automation install and setup context
Install the skill in a compatible Claude skills environment, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill humanitix-automation
Then configure Rube MCP in your client by adding:
https://rube.app/mcp
Before running a workflow, verify that RUBE_SEARCH_TOOLS is available. Use RUBE_MANAGE_CONNECTIONS with toolkit humanitix to check whether the Humanitix connection is ACTIVE. If it is not active, follow the returned authentication link and confirm the connection before asking the agent to modify or retrieve live data.
Inputs the skill needs from you
A good humanitix-automation usage prompt should include the business goal, the Humanitix object involved, the time range or event name, the intended output, and whether the agent is allowed to make changes. Avoid vague prompts like “manage my event.” Instead, give operational constraints:
- Event name or date range
- Whether the task is read-only or can update records
- Specific fields you care about, such as attendee names, order status, ticket type, or event status
- Desired format, such as a summary, CSV-ready table, checklist, or proposed execution plan
- Confirmation requirements before destructive or customer-visible actions
Turn a rough goal into a complete prompt
Weak prompt:
“Check my Humanitix attendees.”
Stronger prompt:
“Use humanitix-automation for Workflow Automation. First call RUBE_SEARCH_TOOLS for the current Humanitix attendee or order tools. Confirm my Humanitix connection is active. Then find attendees for the event named ‘Spring Fundraiser 2026’. Do not update anything. Return a table with attendee name, email, ticket type, order status, and any missing required details. If the schema does not expose one of those fields, tell me which field is unavailable.”
This works better because it gives the agent a specific discovery target, a safety boundary, and a usable output format.
Repository files to read first
This skill is compact: the main file to inspect is composio-skills/humanitix-automation/SKILL.md. Read the prerequisites, setup, tool discovery, and core workflow pattern sections before installing. There are no bundled scripts, reference folders, or metadata files in the current skill directory, so your install decision should be based on whether you already use Rube MCP and whether the “discover schema before execution” pattern matches your Humanitix workflow.
humanitix-automation skill FAQ
Is humanitix-automation only for developers?
No. Non-developers can use it if their AI client supports MCP tools and someone has configured Rube MCP. However, it is not a purely no-setup prompt. The user or workspace admin must connect Humanitix through Rube before the skill can do useful live work.
How is this better than an ordinary Humanitix prompt?
A generic prompt can draft instructions, but it cannot reliably know the current Composio Humanitix tool schema. humanitix-automation explicitly tells the agent to call RUBE_SEARCH_TOOLS, inspect available actions, and use the returned schemas. That matters when field names, tool slugs, or required parameters differ from what the model expects.
Can it create or change Humanitix data?
Potentially, depending on the tools returned by Rube and the permissions of the connected Humanitix account. Treat the skill as capable of live account operations. For sensitive workflows, tell the agent to perform discovery and produce a plan first, then wait for approval before executing writes.
When should I not use this skill?
Do not use it if you have no Humanitix account, cannot enable Rube MCP, or only need general event-marketing copy. Also avoid it for high-risk bulk changes unless you can review the discovered tool schema, preview affected records, and require confirmation before execution.
How to Improve humanitix-automation skill
Improve humanitix-automation results with tighter goals
The most common failure mode is an underspecified task. Replace broad requests with scoped operations: “find paid orders for Event X between these dates” is better than “look at sales.” Include event identifiers when possible, because event names can be duplicated or similar across seasons.
Add safety checks before write actions
For updates, cancellations, ticket changes, or customer-visible actions, instruct the agent to separate discovery, planning, and execution. A safer pattern is: search tools, check connection, identify records, summarize intended changes, ask for confirmation, then execute. This makes the humanitix-automation guide more reliable in real operations.
Iterate after the first output
After the first run, ask the agent to refine by schema evidence: “Which Humanitix tool did you use, what required fields did it need, and which fields were unavailable?” This helps catch mismatches between your requested report and the actual Rube tool response. It also gives you a better reusable prompt for future event workflows.
Strengthen the skill for team use
If you use this skill repeatedly, document your organization’s preferred Humanitix workflows outside the repo: naming conventions for events, approval rules, standard report columns, and actions that require human confirmation. Pairing those local rules with humanitix-automation improves consistency without hardcoding assumptions into prompts.