ko-fi-automation

Overview of ko-fi-automation skill

What ko-fi-automation does

ko-fi-automation is a Claude skill for automating Ko Fi operations through Composio’s Rube MCP server. Its core value is not a fixed Ko Fi script; it teaches the agent to discover the current Ko Fi tool schemas at runtime, check the user’s Ko Fi connection, execute the selected Rube tool, and verify the result.

This matters because MCP tool schemas can change. The skill explicitly tells the agent to call RUBE_SEARCH_TOOLS first instead of guessing tool names or parameters from memory.

Best fit for workflow automation users

The ko-fi-automation skill is best for users who already use Claude with MCP tools and want Ko Fi tasks folded into a broader automation workflow. Good fits include creator operations, supporter management, donation-related reporting, membership follow-up, and workflows where Ko Fi actions need to be coordinated with other systems through Composio.

It is less useful if you only want general advice about running a Ko Fi page, writing supporter messages manually, or analyzing exported CSV files without connecting Ko Fi through Rube.

Key differentiators and constraints

The main differentiator is the required discovery-first workflow: search tools, confirm connection, execute, then validate. That makes the skill safer than a generic “use Ko Fi API” prompt because it pushes the agent toward live schemas and active connection checks.

The important constraint is dependency on Rube MCP. You need RUBE_SEARCH_TOOLS available, and you need an active Ko Fi connection through RUBE_MANAGE_CONNECTIONS using the ko_fi toolkit. Without those, the skill can plan but cannot perform Ko Fi actions.

How to Use ko-fi-automation skill

ko-fi-automation install and setup path

Install the skill in your Claude skills environment with:

npx skills add ComposioHQ/awesome-claude-skills --skill ko-fi-automation

Then configure Rube MCP in your client by adding the MCP server endpoint:

https://rube.app/mcp

Before asking for real Ko Fi work, confirm the MCP tools are available. The skill expects RUBE_SEARCH_TOOLS to respond. Next, use RUBE_MANAGE_CONNECTIONS with toolkit ko_fi; if the returned status is not ACTIVE, follow the authentication link and repeat the check before running any workflow.

Inputs the skill needs to work well

A strong ko-fi-automation usage prompt should include the exact Ko Fi task, desired output format, safety limits, and whether the action should only be planned or actually executed.

Weak prompt:

“Automate my Ko Fi.”

Better prompt:

“Use ko-fi-automation to find the current Rube tools for Ko Fi. Check whether my ko_fi connection is active. If active, identify the tool needed to retrieve recent supporter or payment activity for the last 30 days. Show me the discovered schema before executing, then return a concise summary table and any records that require follow-up.”

This works better because it gives the agent a time window, an execution boundary, and a required verification step before action.

Recommended execution workflow

A practical ko-fi-automation guide should follow this sequence:

1. Ask the agent to call RUBE_SEARCH_TOOLS for the specific Ko Fi task, not a broad generic query.
2. Have it inspect the returned tool slugs, input schemas, execution plans, and pitfalls.
3. Confirm the Ko Fi connection with RUBE_MANAGE_CONNECTIONS.
4. Only then run the selected Rube tool with schema-matched arguments.
5. Ask the agent to validate the response, summarize what changed or was retrieved, and flag uncertain fields.

Use task-specific discovery queries such as “Ko Fi supporter lookup,” “Ko Fi payment activity,” or “Ko Fi membership operations” rather than “Ko Fi operations” when you already know the job.

Repository files to read first

This skill is intentionally compact. Start with composio-skills/ko-fi-automation/SKILL.md; there are no extra README.md, rules/, resources/, references/, or helper scripts in the provided file tree. That means adoption depends heavily on whether the single skill file gives your agent enough process discipline for your environment.

When reviewing the source, focus on the prerequisites, setup instructions, tool discovery examples, and core workflow pattern. Those sections explain the operating contract: Rube first, connection check second, live schema third, execution last.

ko-fi-automation skill FAQ

Is ko-fi-automation better than a normal prompt?

Yes, when the goal is tool-backed Ko Fi automation rather than brainstorming. A normal prompt may invent API calls or outdated parameters. The ko-fi-automation skill forces the agent to search Rube’s current Ko Fi tools and use the returned schemas, which reduces guesswork and improves reliability.

For purely editorial tasks, such as drafting supporter updates or campaign copy, a normal prompt may be enough unless you also need live Ko Fi data.

Do I need Composio or Rube MCP?

Yes. The skill requires Rube MCP and an active Ko Fi connection through Composio’s ko_fi toolkit. If your Claude environment cannot access MCP tools, this skill will not execute Ko Fi operations. It can still describe a workflow, but the main automation benefit is lost.

Is this suitable for beginners?

It is suitable for beginners who can configure an MCP server and follow an authentication link. It is not a no-code dashboard. The user should be comfortable asking the agent to inspect tool schemas before running actions and should review planned operations before any write-like task.

When should I not use this skill?

Do not use ko-fi-automation for unsupported Ko Fi tasks that are not exposed through the current Rube toolkit. Also avoid using it for high-risk bulk actions without preview steps, limits, and confirmation. If you need guaranteed accounting records, reconcile outputs against Ko Fi’s official dashboard or exports.

How to Improve ko-fi-automation skill

Improve ko-fi-automation prompts with tighter intent

The fastest way to improve ko-fi-automation results is to narrow the requested operation. Include the business goal, time range, entities involved, expected output, and permission boundary.

Example:

“Search Rube for current Ko Fi tools that can retrieve recent donations. Use my active ko_fi connection only after confirming it. Limit the query to the last 7 days if the schema supports dates. Do not send messages or update records. Return donor name, amount, date, message, and follow-up priority.”

This gives the agent enough structure to choose tools safely and avoid accidental actions.

Common failure modes to prevent

The most common failure is skipping RUBE_SEARCH_TOOLS and assuming a tool schema. Prevent that by explicitly saying “search tools first and show the selected schema.” Another common failure is trying to execute before the Ko Fi connection is ACTIVE; require a connection check as a separate step.

A third failure is vague scope. “Handle supporters” can mean read, message, tag, export, or summarize. Replace vague verbs with observable actions: retrieve, list, summarize, draft, update, or confirm.

Iterate after the first output

After the first run, ask the agent to compare the actual tool response with the requested fields. If fields are missing, have it explain whether the limitation comes from the schema, permissions, connection state, or the prompt. Then refine the task and rerun discovery if needed.

For recurring workflows, save the best prompt pattern with your preferred date ranges, review gates, and output columns. The ko-fi-automation skill is most valuable when paired with repeatable operational instructions rather than one-off broad requests.